Disaster evaluation device, disaster evaluation method, and program

Abstract

The present invention provides a disaster evaluation device, etc. that make it possible to comprehensively evaluate the status of restoration associated with the occurrence of a disaster. A disaster evaluation device according to the present invention is configured to: perform simulations, in response to the occurrence of a disaster, of the status of damage individually in relation to a plurality of types of events due to the disaster; convert data indicating the status of damage as the results of the simulations into data indicating a common social value; evaluate changes in the social value due to the disaster on the basis of the plurality of items of converted data; and recommend one or more countermeasures to the plurality of types of events on the basis of the degrees of decrease in the social value due to the evaluated disaster. The disaster evaluation device should perform simulations of the status of restoration from the disaster in relation to the plurality of types of events on the basis of received restoration plan information, should convert the data indicating the status of restoration into data indicating the common social value, and should evaluate changes in the social value due to restoration from the disaster on the basis of the plurality of items of converted data.

Description

Disaster assessment device, disaster assessment method, and program

[0001] The present disclosure relates to a disaster assessment device, a disaster assessment method, and a program that comprehensively assess the recovery state during recovery from a disaster.

[0002] A system for appropriately assessing the amount of damage caused by the occurrence of a disaster is known (see, for example, Patent Document 1). The damage assessment system of Patent Document 1 effectively assesses damage expected to occur due to an earthquake.

[0003] Japanese Patent Application Publication No. 11-175623

[0004] The technology described in Patent Document 1 only lists earthquakes as an example of the type of disaster to be evaluated, calculates the damage rate based on the assumed earthquake, and evaluates the damage based on this damage rate.The damage rate due to earthquakes, earthquake-related fires, ground liquefaction, etc. is calculated only for buildings located in each district divided into mesh-like areas, and does not take into account cultural damage caused by the disaster, the number of victims, or their psychology (so-called satisfaction or well-being).

[0005] The present disclosure has been made to solve such problems, and its purpose is to provide a disaster assessment device, a disaster assessment method, and a program that can comprehensively assess the recovery and restoration state during recovery from a disaster and recommend countermeasures for recovery. It is also an object of the present disclosure to provide a disaster assessment device, a disaster assessment method, and a program that can estimate the degree of recovery from damage and the happiness level of disaster victims during recovery from a disaster.

[0006] A disaster assessment device according to one aspect of the present disclosure includes a plurality of simulation units that, in response to the occurrence of a disaster, respectively perform simulations of damage conditions for a plurality of types of events caused by the disaster; a data conversion unit that converts data indicating the damage conditions as simulation results of each of the plurality of simulation units into data indicating a common social value; a social value assessment unit that assesses changes in social value caused by the disaster based on the plurality of data converted by the data conversion units; and a countermeasure recommendation unit that recommends one or more countermeasures for the plurality of types of events based on the degree of decline in social value caused by the disaster assessed by the social value assessment unit.

[0007] A disaster assessment device in another aspect of the present disclosure comprises: a plurality of simulation units that, in response to the occurrence of a disaster, respectively perform simulations of damage states for a plurality of types of events caused by the disaster; a data conversion unit that converts data indicating the damage states as simulation results of each of the plurality of simulation units into data indicating a common social value; a social value assessment unit that evaluates changes in the social value caused by the disaster based on the plurality of data converted by the data conversion units; and a transceiver unit that receives recovery plan information for the disaster, wherein the plurality of simulation units respectively perform simulations of recovery states from the disaster for the plurality of types of events based on the recovery plan information, the data conversion unit converts data indicating the recovery states as simulation results of each of the plurality of simulation units into data indicating a common social value, and the social value assessment unit evaluates changes in the social value caused by the recovery from the disaster based on the plurality of data converted by the data conversion units.

[0008] A disaster assessment method in one aspect of the present disclosure comprises: simulating the damage state caused by a disaster for each of a plurality of types of events in response to the occurrence of a disaster; converting data indicating the damage state resulting from the plurality of simulations into data indicating a common social value; evaluating changes in the social value caused by the disaster based on the plurality of converted data; and recommending one or more countermeasures for the plurality of types of events based on the assessed degree of decline in social value caused by the disaster.

[0009] A disaster assessment method in another aspect of the present disclosure includes, in response to the occurrence of a disaster, performing simulations of damage states caused by the disaster for multiple types of events, converting data indicating the damage states as multiple simulation results into data indicating a common social value, evaluating changes in the social value caused by the disaster based on the multiple converted data, receiving recovery plan information for the disaster, performing simulations of recovery states from the disaster for multiple types of events based on the recovery plan information, converting data indicating the recovery states as multiple simulation results into data indicating a common social value, and evaluating changes in the social value caused by recovery from the disaster based on the converted data.

[0010] A program in one aspect of the present disclosure causes a computer to perform the following processes: simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of the disaster; converting data indicating the damage state as a result of the multiple simulations into data indicating a common social value; evaluating changes in the social value caused by the disaster based on the multiple converted data; and recommending one or more countermeasures for the multiple types of events based on the evaluated degree of decline in social value caused by the disaster.

[0011] A program in another aspect of the present disclosure causes a computer to execute the following processes: a process of simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of a disaster; a process of converting data indicating the damage state as the results of the multiple simulations into data indicating a common social value; a process of evaluating changes in the social value caused by the disaster based on the multiple converted data; a process of receiving recovery plan information for the disaster; a process of simulating the recovery state from the disaster for the multiple types of events based on the recovery plan information; a process of converting data indicating the recovery state as the results of the multiple simulations into data indicating a common social value; and a process of evaluating changes in the social value caused by the recovery from the disaster based on the multiple converted data.

[0012] According to the present disclosure, it is possible to provide a disaster assessment device, a disaster assessment method, and a program that can comprehensively assess the damage caused by the occurrence of a disaster, as well as comprehensively assess the recovery and restoration state during recovery from a disaster, and can also recommend countermeasures for recovery.

[0013] 1 is a schematic diagram showing a flow from the occurrence of a disaster to the evaluation of the damage state caused by the disaster. FIG. 1 is a schematic diagram showing a flow from the formulation of a recovery plan to the evaluation of the actual recovery state. FIG. 2 is a conceptual diagram showing an overall configuration including a disaster assessment device according to the present disclosure. FIG. 3 is a block diagram showing the configuration of the disaster assessment device shown in FIG. 3. FIG. 4 is a flowchart showing an outline of a disaster damage assessment process according to the present disclosure. FIG. 5 is a flowchart showing an outline of a disaster recovery assessment process according to the present disclosure. FIG. 6 is a flowchart showing an outline of a happiness level estimation process according to the present disclosure. FIG. 7 is a conceptual diagram showing inputs to each simulation unit. FIG. 8 is a conceptual diagram showing an example of the relationship between various simulation units with respect to multiple types of events executed when an earthquake occurs. FIG. 9 is a schematic diagram showing in chronological order the operation of a disaster assessment device when a disaster occurs. FIG. 10 is a schematic diagram showing an integrated recommendation method when an earthquake occurs. FIG. 11 is a schematic diagram showing a series of flows of error calculation optimization process after a disaster occurs. FIG. 12 is a schematic diagram showing an example of a method for calculating a recovery level and a happiness level. FIG. 13 is a conceptual diagram showing an example of a method for evaluating a recovery level and a satisfaction level. FIG. 14 is a conceptual diagram showing a method for estimating a happiness level using multiple satisfaction level estimation models. FIG. 15 is a block diagram showing an example of the hardware configuration of a disaster assessment device of the present disclosure.

[0014] (Embodiments) Hereinafter, embodiments of the present invention will be described with reference to the drawings. However, the invention according to the claims is not limited to the following embodiments. Furthermore, not all of the configurations described in the embodiments are necessarily essential as means for solving the problems. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate. In each drawing, the same elements are given the same reference numerals, and duplicate explanations are omitted as necessary.

[0015] <Challenges in Disaster Assessment> First, we will explain the challenges in assessing disaster damage and disaster recovery in the present disclosure. As described in the background art above, simulations of damage during disasters have often been used to estimate the details of monetary damage, i.e., the amount of damage, caused by individual events (e.g., damage caused by tsunamis or flooding after earthquakes, damage caused by landslides after heavy rain or typhoons, fires caused by forest fires, etc.). As a result, such damage simulations have not been able to comprehensively estimate disaster damage. Furthermore, with regard to post-disaster recovery and reconstruction, recovery and reconstruction simulations have often been conducted individually for the flooding and collapse of buildings (particularly homes and buildings) caused by tsunamis, landslides, etc., and damage to infrastructure in the affected areas (so-called infrastructure, electricity, water, gas, etc.). As a result, it has been difficult to update and propose appropriate countermeasures based on the actual recovery and reconstruction status using such recovery and reconstruction simulations. Taking these challenges into consideration, we will now explain the challenges in disaster assessment in the present disclosure.

[0016] First, there is the issue of the lack of a unified method for assessing disasters and their subsequent recovery. In other words, damage caused by disasters includes not only economic damage, which can be converted into monetary terms (e.g., the amount of damage caused by building collapses), but also human damage (e.g., the number of people killed and injured in the disaster) and cultural damage (e.g., the loss of cultural assets). There is a strong need for a method for calculating the integrated value of these types of damage, which cannot be converted into a single indicator (e.g., monetary value).

[0017] Second, when simulating damage caused by multiple disaster events (e.g., tsunamis and flooding), initial values ​​are required for each event. The question arises as to what initial values ​​should be prepared for simulating damage caused by one or more such events. Furthermore, national and local governments desire the results of each simulation as quickly as possible in order to quickly present recovery and reconstruction measures. For example, if experts conduct on-site surveys to verify and investigate the damage caused by a disaster and evaluate the disaster that has occurred, it is not a problem to take a reasonable amount of time to carefully evaluate the disaster. However, in recent years, digital twins (disaster digital twins) have been used to develop early response plans. However, when developing disaster countermeasures, digital twins require a method that can respond to real-time demands for prediction results.

[0018] Third, there are usually experts who conduct simulations for the multiple types of events mentioned above, and each expert develops their own individual response measures, which makes it difficult to create the optimal overall response measures. In other words, when a disaster occurs, national politicians, local government leaders, and experts involved in disaster prevention will develop and implement various response measures, but there are cases where they have to proceed with one or more of these response measures without determining whether they are optimal overall from a comprehensive perspective.

[0019] Fourth, when implementing one or more of the above-mentioned countermeasures to recover and rebuild from a disaster, there is a desire to put oneself in the victim's shoes, estimate their ever-changing well-being, and flexibly modify and adjust countermeasures based on this estimated well-being. Measuring the satisfaction and well-being of victims is considered essential for assessing the severity of a disaster and the results of countermeasures. However, in disasters where multiple evacuation shelters are established, for example, differences in the shelter environments make it quite difficult to comprehensively grasp the well-being of victims. Furthermore, without the ability to predict the well-being of such victims, it is impossible to assess the appropriateness of the current countermeasures based on feedback, and this information cannot be used to plan countermeasures for the next disaster.

[0020] Response measures taken immediately after a disaster include evacuation guidance and rescue, treatment for those in need of rescue, setting up evacuation shelters, and restoring infrastructure. Response measures during the recovery phase include building temporary housing and developing infrastructure, as well as developing urban and disaster prevention plans for the future. These response measures affect happiness levels at each stage of a disaster.

[0021] <Outline of the Disaster Assessment Device of the Present Disclosure> The disaster assessment device of the present disclosure has been made to solve the above-mentioned problems. Below, an outline of the disaster assessment device according to this embodiment, which is used for recovery from the occurrence of a disaster, is described. In principle, the targets of assessment of the disaster assessment device, disaster assessment method, and program of the present disclosure are all phenomena that occur when a disaster occurs. The present disclosure targets the very concept of disaster resilience (the ability to recover from and recover from a disaster), and therefore aims to evaluate increases and decreases in social value and increase the evaluated social value, as described below.

[0022] First, the assessment of the damage state when a disaster occurs using the disaster assessment device of the present disclosure will be described. Here, an example is taken of an earthquake as the disaster. FIG. 1 is a schematic diagram showing the flow from the occurrence of a disaster to the assessment of the damage state caused by that disaster. As shown in FIG. 1 , when a disaster (disaster phenomenon) occurs, the disaster assessment device first receives information indicating the scale and location of the disaster (epicenter and depth of the epicenter) as disaster occurrence information from, for example, the country (government) or a response agency (Japan Meteorological Agency). In the virtual world of the disaster digital twin, the disaster assessment device performs various simulations of the damage state and estimates the state of various damages (damage conditions), such as damage to buildings and facilities in flooded areas, damage to historical and social assets, damage to logistics and economic activities, and human casualties.

[0023] Meanwhile, in the physical world of the disaster digital twin, the disaster assessment device obtains information on the actual damage caused by the disaster by sensing the movements of people and objects and collecting information from the national and local governments.

[0024] Next, in the virtual world of the disaster digital twin, the disaster assessment device comprehensively assesses the damage caused by the disaster based on the estimated information on various damage conditions and evaluates the change in social value caused by the disaster. In other words, the disaster assessment device comprehensively judges the results of various simulations and evaluates and determines the extent to which social value has decreased due to the disaster.

[0025] Next, in the virtual world of the disaster digital twin, the disaster assessment device quantifies resilience (durability and resilience) against the decline in social value based on the estimated results of the damage state due to the disaster, formulates countermeasures (proposed countermeasures) to increase this resilience, and simulates the damage state again. In this way, by creating countermeasures and looping the simulation, and by feeding back information on the damage state in the physical world, the disaster assessment device proposes countermeasures to minimize the decline in social value. In other words, the disaster digital twin disclosed herein performs simulations to evaluate the results (damage state) of disaster phenomena caused by the occurrence of a disaster, estimates the damage state for multiple types of events, and evaluates disaster damage by comprehensively evaluating these multiple damage states.

[0026] Next, we will explain the evaluation of the recovery state in disaster recovery. Figure 2 is a schematic diagram showing the process from formulating a recovery plan to evaluating the actual recovery state. As shown in Figure 2, upon receiving recovery plan information formulated by the national government or local government, the disaster evaluation device performs various simulations of the recovery state in the virtual world of the disaster digital twin, and estimates various recovery states from the disaster, such as disaster robustness (installation and planning of disaster prevention and mitigation equipment), economic productivity, disaster countermeasures (establishment of evacuation shelters and enhancement of medical facilities), human value, and the happiness of disaster victims.

[0027] Meanwhile, in the physical world of the disaster digital twin, the disaster assessment device obtains information on the actual state of recovery from the disaster by sensing the movements of people and objects and collecting information from the national and local governments.

[0028] Next, in the virtual world of the disaster digital twin, the disaster assessment device comprehensively evaluates the recovery from the disaster based on the estimated recovery status information and evaluates the change in social value due to this recovery. In other words, the disaster assessment device comprehensively judges the results of various simulations and evaluates and determines the extent to which social value has increased as a result of recovery from the disaster.

[0029] Next, in the virtual world of the disaster digital twin, the disaster assessment device quantifies the resilience to an increase in social value based on the estimated results of the recovery state from the disaster, formulates countermeasures (proposed countermeasures) to increase this resilience, and simulates the recovery state again. In this way, by creating countermeasures and looping the simulation, and by feeding back information on the recovery state of the physical world, the disaster assessment device proposes countermeasures to speed up the increase in social value as much as possible. In other words, the disaster digital twin disclosed herein estimates the recovery state for multiple types of events during recovery from a disaster by performing simulations to evaluate social phenomena based on the recovery content, and evaluates the recovery effect (resilience to disasters) by comprehensively evaluating these multiple recovery states.

[0030] <Configuration of Disaster Assessment Device> Next, the configuration of the disaster assessment device according to this embodiment will be described. In this embodiment, the disaster assessment device will be described using an earthquake and the subsequent tsunami as a specific example of a disaster, but the type of disaster is not limited to this. In addition to earthquakes and tsunamis, other anticipated disasters include, for example, disasters caused by typhoons and landslides after the typhoon passes, fires caused by forest fires, and disasters caused by heavy rain. First, the overall configuration including the disaster assessment device will be described. FIG. 3 is a conceptual diagram showing the overall configuration including the disaster assessment device according to the present disclosure.

[0031] As shown in Figure 3, the disaster assessment device 100 is connected via a network 300 such as the Internet to a national government agency server 210, national ministry and agency servers 220-22N, a people flow server 230, and a transportation-related server 240. Here, the people flow server 230 is a server that provides people flow information within a specified area, and may be, for example, a server owned by a mobile terminal communication company (carrier). The transportation-related server 240 may be a server of various transportation facilities, including, for example, servers of railway companies, bus companies, airlines, and shipping companies.

[0032] When a disaster occurs, the disaster assessment device 100 acquires disaster occurrence information from the government agency server 210 and the government ministry and agency servers 220 to 22N, as will be described later. For example, if the disaster is an earthquake, the disaster occurrence information includes the magnitude of the earthquake, the location of the epicenter, the depth of the epicenter, etc.

[0033] Upon acquiring information about an earthquake occurrence, the disaster assessment device 100 is configured to receive seismic intensity information for each region affected by the earthquake from the Japan Meteorological Agency server in each ministry / agency server 220-22N, and acquire people flow information for the relevant region from the people flow server 230, for sensing the physical world. The disaster assessment device 100 is also configured to acquire information on the transportation network related to the relevant region (traffic-related information) from the traffic-related server 240, in particular, information on railway damage and delays, information on passenger aircraft takeoffs and landings, and information on ship operation. The disaster assessment device 100 may also be configured to constantly acquire people flow information and traffic-related information.

[0034] The disaster assessment device 100 is then configured to simulate damage conditions for multiple types of events caused by this earthquake, as described below, and convert data indicating the damage conditions resulting from each simulation into data indicating a common social value.The disaster assessment device 100 is then configured to assess changes in social value caused by the earthquake based on these multiple converted data.The specific operation of the disaster assessment device 100 will be described in detail below with reference to the block diagram in Figure 4 and the flowcharts in Figures 5 to 7.

[0035] Typically, when an earthquake occurs, social value decreases. The disaster assessment device 100 is configured to recommend one or more countermeasures for multiple types of events based on the assessed degree of social value decrease due to the earthquake. The disaster assessment device 100 is also configured to transmit this recommended information to the government agency server 210 and the respective ministry and agency servers 220 to 22N. The country (government) can decide whether to establish a disaster response headquarters based on these recommended countermeasures as needed. The country (government) and local governments in affected areas can also use this recommended information as needed to decide disaster relief activities to be carried out for residents (victims) in areas affected by the earthquake disaster.

[0036] When the country (government) formulates a recovery plan for the earthquake, disaster assessment device 100 is configured to receive recovery plan information from government agency server 210 and each ministry / agency server 220 to 22N. Upon receiving the recovery plan information, disaster assessment device 100 is configured to perform simulations of recovery states from an earthquake for multiple types of events based on the recovery plan information, and convert data indicating the recovery states as the results of each simulation into data indicating a common social value.

[0037] The disaster assessment device 100 is configured to evaluate changes in social value due to recovery from an earthquake based on these multiple conversion data. Social value usually increases as a result of recovery from a disaster. The disaster assessment device 100 is configured to recommend one or more countermeasures for multiple types of events based on the evaluated degree of increase in social value due to recovery from a disaster. The national government, local governments in disaster-stricken areas, etc. may use these recommended countermeasures as necessary to update and determine regional recovery activities affected by the earthquake disaster.

[0038] The disaster assessment device 100 is configured to acquire information indicating the recovery status from the government agency server 210 and each ministry / agency server 220-22N. The information indicating the recovery status includes, for example, the number of disaster victims evacuated to each evacuation shelter and their progress, the amount of daily necessities such as water, food, and clothing supplied to each evacuation shelter, and the number of temporary toilets installed at each evacuation shelter. The information indicating the recovery status also includes information on the results of a survey of disaster victims conducted at each evacuation shelter at a predetermined time. The results of this survey are important for determining the level of satisfaction of the disaster victims.

[0039] The disaster assessment device 100 is configured to estimate the happiness level of the disaster victims based on the recommended countermeasures, the resulting changes in the recovery state over time, and the disaster victim's satisfaction level. The disaster assessment device 100 performs an overall assessment from the occurrence of the earthquake to the subsequent recovery, including the estimated happiness level.

[0040] Next, a description will be given of the configuration of the disaster assessment device 100 according to the present embodiment. Fig. 4 is a block diagram showing the configuration of the disaster assessment device 100 shown in Fig. 3. The configuration of the disaster assessment device 100 according to the present embodiment will be described with reference to Figs. 3 and 4.

[0041] 4, the disaster assessment device 100 includes a control unit 110, a transmission / reception unit 120, a storage unit 130, a plurality of simulation units 140 to 14N, a data conversion unit 150, a social value assessment unit 160, a countermeasure recommendation unit 170, and a happiness level estimation unit 180. The control unit 110 is configured to control each unit within the disaster assessment device 100.

[0042] The transmitting / receiving unit 120 is configured to transmit and receive data between the government agency server 210, the government ministry and agency servers 220-22N, the people flow server 230, and the traffic-related server 240 via the network 300. Specifically, as described above, the transmitting / receiving unit 120 is configured to receive disaster occurrence information indicating the magnitude of the earthquake, the location of the epicenter where the earthquake occurred, and the depth of the epicenter from the government agency server 210 and the government ministry and agency servers 220-22N after the occurrence of a disaster, in this case, an earthquake. The transmitting / receiving unit 120 outputs the received disaster occurrence information to the simulation units 140-14N for simulating the damage state.

[0043] The transmitting / receiving unit 120 is also configured to receive damage status data indicating actual values ​​of the damage state caused by the earthquake and for which the actual situation has become clear from the government agency server 210 and each ministry / agency server 220 to 22N. The transmitting / receiving unit 120 outputs the received damage status data to the simulation units 140 to 14N for re-simulating the damage state.

[0044] Furthermore, the transmitting / receiving unit 120 is configured to receive disaster recovery plan information from the government agency server 210 and each ministry / agency server 220 to 22N. The transmitting / receiving unit 120 outputs the received recovery plan information to the simulation units 140 to 14N for simulating the recovery state.

[0045] The transmitting / receiving unit 120 is configured to receive recovery status data indicating actual values ​​of the recovery status in which the actual situation has become clear from the government agency server 210 and each ministry / agency server 220 to 22N. The transmitting / receiving unit 120 outputs the received recovery status data to the simulation units 140 to 14N for re-simulating the recovery status.

[0046] The transmitting / receiving unit 120 may transmit data indicating changes in social value assessed by the social value assessment unit 160 following the occurrence of an earthquake to the government agency server 210, etc. The transmitting / receiving unit 120 is also configured to receive disaster occurrence information and recovery plan information, and after simulations are performed by the multiple simulation units 140 to 14N, transmit one or more countermeasures recommended by the countermeasure recommendation unit 170 to the government agency server 210, etc.

[0047] The storage unit 130 is configured to temporarily store data indicating the damage state and data indicating the restoration state as simulation results of the multiple simulation units 140 to 14N, as needed. The storage unit 130 is also configured to temporarily store various data converted by the data conversion unit 150.

[0048] Furthermore, the memory unit 130 is configured to temporarily store disaster occurrence information, damage status data, and recovery status data received by the transmitter / receiver unit 120, as well as data regarding changes in social value evaluated by the social value evaluation unit 160.

[0049] The storage unit 130 may be configured to store data on buildings and social infrastructure with specific added value. The storage unit 130 may also be configured to include a database (not shown) that stores data on buildings and social infrastructure with specific added value. Examples of buildings and social infrastructure with specific added value include historical buildings such as shrines and temples, tourist spots such as Tokyo Tower and Skytree, buildings designed by famous architects, and suspension bridges such as the Rainbow Bridge and the Seto Ohashi Bridge. Each of these buildings and social infrastructure with specific added value is assigned a damage coefficient or a value recognized by the government or other organization according to its specific added value. If such buildings and social infrastructure are damaged as historical / social asset damage as shown in FIG. 1 , a higher damage amount is calculated than for ordinary buildings. The transceiver 120 may be configured to receive such data, for example, from each government agency server 220-22N.

[0050] The multiple simulation units 140-14N are configured to, in response to the occurrence of a disaster, respectively simulate damage states for multiple types of events caused by the disaster. Specifically, the multiple simulation units 140-14N are configured to respectively simulate damage states for multiple types of events based on disaster occurrence information received by the transmission / reception unit 120. Each simulation unit 140-14N is configured to output data indicating the damage state as a corresponding simulation result to the other simulation units 140-14N associated with it. In this way, in the disaster assessment device 100 according to this embodiment, the multiple simulation units 140-14N cooperate with each other to estimate the assessment of social value by the subsequent social value assessment unit 160.

[0051] The multiple types of events caused by a disaster include, for example, damage to roads and buildings, damage to building structures, human casualties, damage to infrastructure, rescue operations and evacuation shelters, economic damage, basic administrative services, transportation of medical supplies, transportation of relief supplies, etc., as illustrated in Fig. 9 for an earthquake and tsunami. Fig. 9 is a conceptual diagram showing an example of the relationship between various simulation units for multiple types of events that are executed when an earthquake occurs.

[0052] In this embodiment, when a disaster occurs, each of the multiple simulation units 140 to 14N performs a simulation corresponding to the event. Here, the multiple simulation units 140 to 14N include simulation units that are related and linked to each other, as shown in Figure 9, and in such a relationship, the simulation results of the previous simulation unit are used as input to the subsequent simulation unit in chronological order.

[0053] For example, the simulation results of the road and building damage simulation unit are used as input for the infrastructure damage simulation unit, human casualty simulation unit, rescue operation and evacuation shelter simulation unit, medical supply transportation simulation unit, and relief supply transportation simulation unit.

[0054] Regardless of the various simulation units illustrated in FIG. 9 , as a specific example, when an earthquake occurs as a disaster, first, the scale of the earthquake indicated by the magnitude, the epicenter, the depth of the epicenter, etc. are determined using a seismometer or the like. However, because the fault plane of the earthquake is unknown, a simulation is performed to calculate the fault plane based on this information and the seismic intensity of each area. Then, once the fault plane is determined through this simulation, a simulation is performed to calculate how much sea level has risen at that location. Once the sea level rise is determined through this simulation, a simulation is performed to calculate how the risen sea level will propagate. Once the propagation of waves (tsunamis) is determined, a simulation is performed to calculate when the waves will reach the coast and how much of the land will be flooded. Once the flooded areas are determined, a simulation is performed to calculate the extent of damage to roads, buildings, and infrastructure.

[0055] Here, as shown in Fig. 8, each of the multiple simulation units 140 to 14N receives as input values ​​a disaster variable value that varies depending on the type of disaster, a non-disaster variable value that varies with the passage of time since the occurrence of the disaster regardless of the type of disaster, and a fixed value that hardly varies depending on the type of disaster. Fig. 8 is a conceptual diagram showing the inputs of each simulation unit 140 to 14N.

[0056] Disaster variable values ​​are values ​​that would normally be revealed through investigation (e.g., the magnitude, location, and mechanism of an earthquake) and are obtained from various servers 210, 220-22N, etc. via the network 300 and the transceiver 120. Non-disaster variable values ​​are values ​​that are constantly collected and can be sensed regardless of a disaster (e.g., temperature, humidity, the number of people in a certain location during a certain time period, bed occupancy rates, etc.) and are obtained from various servers 220-22N, 230, 240, etc. via the network 300 and the transceiver 120. Fixed values ​​are values ​​that fluctuate relatively infrequently (e.g., topography, facility buildings, physical coefficients, etc.) and are stored in advance in the memory unit 130, for example. Fixed values ​​may also include the maximum number of patients each medical facility can accommodate, the location of each piece of equipment, the location of each piece of infrastructure, etc.

[0057] In addition, the data showing the damage state as a result of multiple simulations by multiple simulation units 140 to 14N includes data that can be converted into the amount of damage, data that shows the damage state due to the occurrence of a disaster as a relative evaluation against a reference state, data obtained by weighting and adding multiple evaluation values, data based on ranking, and data based on the number of evaluation values ​​of the same order.

[0058] Data that can be converted into damage amounts means standard conversion data, and the resulting numerical values ​​can be converted into a common value (here, monetary value such as damages). Data that shows the damage state caused by a disaster as a relative evaluation against a reference state means standard state relative conversion data. Specifically, a standard state is set, and the value state from each perspective is evaluated relative to the standard state to determine the standard state ratio value. For example, if the state has improved compared to the standard state, it is a positive value, and if the state has worsened, it is a negative value. This data then calculates the degree of positivity and negativity to show whether the value is positive or negative relative to the standard state as a ratio.

[0059] Data obtained by weighting and adding multiple evaluation values ​​refers to weighted conversion data, which can be calculated by multiplying different evaluation values ​​by weighting coefficients and then adding them together. Examples include satisfaction scores from surveys, as described below. Ranking-based data refers to rank conversion data, which can be calculated by ranking multiple objects with the same structure for data that is difficult to evaluate in absolute, ratio, or relative terms. This data can be calculated, for example, by the difference or ranking when similar but different phenomena occur. Specifically, this applies to cases where it is calculated based on population differences within a region, numbers per capita, or the number of administrative facilities within a region (such as the number of nurseries and schools, or the number of children's parks). Data based on the number of similar evaluation values ​​refers to so-called "yes" and "nostalgia" conversion data, which can be calculated by counting the number of objects with similar value.

[0060] Each of the plurality of simulation units 140 to 14N may be configured to perform a simulation of the damage state for a target event in accordance with the time series from the occurrence of a disaster, and may receive, as input values, data indicating the damage state as a result of simulations performed by the other simulation units 140 to 14N that performed simulations of the damage state for one or more events that occurred before the target event in the time series of the event.

[0061] Furthermore, when the transmission / reception unit 120 receives actual damage data indicating the actual value of the damage state that has occurred due to a disaster and the actual situation has become clear, the actual damage data received by the transmission / reception unit 120 can be input to each of the other simulation units 140 to 14N that are chronologically later than the corresponding simulation unit 140 to 14N, instead of data indicating the damage state as a simulation result of the corresponding simulation unit 140 to 14N.

[0062] In addition, when the storage unit 130 stores data on buildings and social infrastructures having specific added value, the multiple simulation units 140 to 14N include at least a road and building damage simulation unit that simulates the damage state of roads and buildings, and an infrastructure damage simulation unit that simulates the damage state of social infrastructures. The road and building damage simulation unit and the infrastructure damage simulation unit may each simulate the damage state of buildings and social infrastructures having specific added value stored in the storage unit 130, taking into account the specific added value.

[0063] Furthermore, when the transmitting / receiving unit 120 receives disaster recovery plan information, the plurality of simulation units 140 to 14N are configured to respectively perform simulations of disaster recovery states for a plurality of types of events based on the received recovery plan information. Furthermore, when the transmitting / receiving unit 120 receives recovery status data indicating actual values ​​of the recovery state after the actual situation has been clarified, the recovery status data received by the transmitting / receiving unit 120 is input to each of the plurality of simulation units 140 to 14N instead of data indicating the recovery state as a simulation result of the plurality of simulation units 140 to 14N corresponding to the recovery state after the actual situation has been clarified.

[0064] The data conversion unit 150 is configured to convert data indicating the damage state as a simulation result of each of the plurality of simulation units 140 to 14N into data indicating a common social value. The plurality of data converted by the data conversion unit 150 are output to the social value assessment unit 160.

[0065] Furthermore, as described above, when data indicating the damage state is evaluated using multiple different evaluation methods (damage amount conversion, reference state relative conversion, etc.), the data conversion unit 150 is configured to convert multiple pieces of data evaluated using different evaluation methods into multiple pieces of data indicating a common social value.

[0066] Furthermore, when the transmission / reception unit 120 receives damage status data indicating actual values ​​of the damage status that reveal the actual situation, the data conversion unit 150 converts the damage status data into data indicating a common social value, and also converts again into data indicating a common social value the data indicating the damage status as new simulation results of the simulation unit 140 to 14N to which the damage status data has been input and other simulation units 140 to 14N related to the simulation unit 140 to 14N. As a result, the damage status becomes clearer over time, and the simulation results of the simulation units 140 to 14N become more accurate.

[0067] When multiple simulation units 140 to 14N each perform a simulation of the recovery state from a disaster for multiple types of events based on the recovery plan information, the data conversion unit 150 simply converts the data indicating the recovery state as a result of the simulation into data indicating a common social value.

[0068] Furthermore, when the transmitting / receiving unit 120 receives recovery status data indicating the actual value of the recovery status in which the actual situation has been clarified, the data conversion unit 150 converts the received recovery status data into data indicating a common social value, and also converts again into data indicating a common social value the data indicating the recovery status as a new simulation result of the simulation unit 140 to 14N to which the recovery status data has been input and other simulation units 140 to 14N related to the simulation unit 140 to 14N.

[0069] The social value assessment unit 160 is configured to assess a change in social value due to a disaster based on the plurality of data converted by the data conversion unit 150. The transmission / reception unit 120 may transmit the change in social value assessed by the social value assessment unit 160 (a change in a negative value in the event of a disaster) to the government agency server 210 and the government ministry / agency servers 220 to 22N.

[0070] When the transmission / reception unit 120 receives damage status data indicating actual values ​​of the damage state in which the actual situation has been clarified, the simulation units 140 to 14N output new simulation results, and the data conversion unit 150 performs conversion again, the social value assessment unit 160 can reassess the change in social value due to the disaster based on the converted value of the damage status data received by the transmission / reception unit 120 and the data indicating the common social value reconverted by the data conversion unit 150. By the social value assessment unit 160 reassessing the change in social value using the converted value based on the damage status data, it is possible to reassess social value in accordance with the actual damage situation, and the countermeasure recommendation unit 170 can re-recommend countermeasures that suit the actual situation of the disaster, as will be described later.

[0071] When the transmitting / receiving unit 120 receives recovery status data indicating actual values ​​of the recovery state in which the actual situation has been clarified, the simulation units 140 to 14N output new simulation results, and the data conversion unit 150 performs conversion again, the social value assessment unit 160 can re-evaluate the change in social value due to recovery from the disaster based on the converted value of the recovery status data received by the transmitting / receiving unit 120 and the data indicating the common social value re-converted by the data conversion unit 150. As described above, the social value assessment unit 160 re-evaluates the change in social value using the converted value based on the recovery status data, thereby enabling the social value to be re-evaluated in accordance with the actual recovery situation, and the countermeasure recommendation unit 170 can re-recommend countermeasures that match the actual recovery situation, as will be described later.

[0072] The countermeasure recommending unit 170 is configured to recommend one or more countermeasures for a plurality of types of events, based on the degree of decline in social value due to the disaster assessed by the social value assessing unit 160. When the social value assessing unit 160 reassessed the change in social value due to the disaster, the countermeasure recommending unit 170 may update the one or more recommended countermeasures based on the reassessed change in social value, and recommend the updated one or more countermeasures.

[0073] Furthermore, the countermeasure recommending unit 170 is configured to recommend one or more countermeasures for a plurality of types of events, based on the degree of increase in social value due to recovery from the disaster evaluated by the social value evaluating unit 160. When the social value evaluating unit 160 re-evaluates the change in social value due to recovery from the disaster, the countermeasure recommending unit 170 may update the one or more recommended countermeasures based on the re-evaluated change in social value, and recommend the updated one or more countermeasures.

[0074] Here, we will explain an outline of a series of operations of disaster assessment device 100. Figure 10 is a schematic diagram showing, in chronological order, the operations of disaster assessment device 100 when a disaster occurs. As shown in Figure 10, multiple simulation units 140 to 14N perform various simulations depending on the disaster state after the disaster occurs, and output data indicating the damage state and recovery state as the simulation results.

[0075] The data conversion unit 150 converts each piece of data into data indicating a common social value, and the social value assessment unit 160 assesses changes in social value due to the disaster based on the converted pieces of data. Here, the control unit 110 may cause the multiple simulation units 140 to 14N to perform error calculation optimization processing so that the assessment result of the social value assessment unit 160 is as high as possible.

[0076] The error calculation optimization process is a process in which the data input to each of the multiple simulation units 140 to 14N is shifted slightly, and the evaluation result of the social value assessment unit 160 is obtained each time. By optimizing the evaluation result, it is possible to suppress the decline in social value in a damaged state and to further increase the increase in social value in a restored state. Obtaining such simulation results is only possible by performing a comprehensive evaluation by the social value assessment unit 160.

[0077] Specifically, in this error calculation optimization process, the control unit 110 changes the rescue, relief, and recovery details in the multiple simulation units 140 to 14N, while the social value assessment unit 160 evaluates the changes in social value and determines the difference in the resulting social value. The control unit 110 then calculates the relative difference with the expected social value at the time of disaster occurrence and recovery, and searches for an optimal solution while performing coefficient correction so that this social value is optimized. Conventional methods such as error random number optimization and exhaustive calculation may be used as a method for searching for the optimal solution.

[0078] The countermeasure recommendation unit 170 then recommends modifications to national and local government policies and countermeasures based on the rescue, relief, and restoration content that constitutes the optimal solution determined by the error calculation optimization process performed by the control unit 110. If the countermeasure is changed, the multiple simulation units 140 to 14N each perform a simulation of the restoration state again. The disaster assessment device 100 executes such a loop process.

[0079] Next, the correspondence between each simulation unit 140-14N shown in FIG. 9 and the error calculation optimization process will be explained. FIG. 11 is a schematic diagram showing an integrated recommendation method when an earthquake occurs. FIG. 12 is a schematic diagram showing the flow of the error calculation optimization process after a disaster occurs. As shown in FIG. 11, the countermeasure recommendation unit 170 outputs revised recommendation information to each simulation unit 140-14N based on the error calculation optimization process by the control unit 110, and each simulation unit 140-14N re-executes the corresponding simulation based on this revised recommendation information. Note that the error calculation optimization process may be a statistical process using AI, or may be a calculation using quantum annealing if it is simply based on whether or not to adopt.

[0080] Here, all countermeasures are input into each simulation unit 140 to 14N, and the evaluation of social value is optimized. In this case, for example, by employing a Hamiltonian equation, errors in related resources (e.g., budget, number of responders, etc.) can also be evaluated. Furthermore, since the countermeasures that can be implemented change over time, each simulation unit 140 to 14N can determine whether or not to perform a corresponding simulation, taking into account the feasibility of each countermeasure.

[0081] As an example, as shown in Figure 12, the stage immediately after a disaster occurs is a complete estimation stage. After a disaster occurs, multiple simulation units 140 to 14N each simulate damage conditions for multiple types of events based on disaster occurrence information indicating the scale and location of the disaster, and the damage situation is estimated. The control unit 110 performs error calculation optimization processing, and the countermeasure recommendation unit 170 feeds back countermeasures such as rescue to the multiple simulation units 140 to 14N.

[0082] Next, in the estimation correction stage, when disaster countermeasures are implemented, the damage situation is estimated until the damage is confirmed. Once the damage is confirmed, estimation of the damage situation is stopped. Since the confirmed damage situation (damage state) at the current time is obtained, the multiple simulation units 140 to 14N use this data to simulate the damage state.

[0083] Next, in the actual value stage, the simulation units 140 to 14N receive feedback of optimized countermeasures based on the difference between the estimated damage situation and the actual damage situation. The countermeasures, such as rescue measures, based on the actual values ​​are transmitted to the national and local governments via the transmitting / receiving unit 120 in order to formulate a disaster response plan.

[0084] By configuring the social value assessment unit 160 and the countermeasure recommendation unit 170 as described above, it is possible to quickly obtain a relatively comprehensive judgment result (assessment result), and to propose one or more countermeasures by prioritizing them based on the changes in assessed social value. Therefore, the disaster assessment device 100 can support the political judgment of the overall judge, who is the head of the country or each local government in the disaster area.

[0085] Digital twins used up until now for disaster prevention have only been used to simulate the damage caused by a disaster and evaluate the state and circumstances of the damage caused by the disaster as a result of the simulation. As described above, the disaster assessment device 100 of this embodiment can not only evaluate the damage caused by a disaster, but also evaluate the state of recovery from the disaster. Furthermore, in order to evaluate the resilience of society as a whole against this damage and recovery, numerical values ​​and other simulation results obtained from simulations of multiple types of events can be efficiently combined to comprehensively evaluate social value.

[0086] Furthermore, according to the disaster assessment device 100 of this embodiment, data indicating actual values ​​of the damage state and recovery state as the actual situation becomes clear is fed back in consideration of the execution of multiple simulations according to time series. Then, by performing a simulation again using the relevant simulation units 140 to 14N after the relevant simulation unit 140 to 14N, errors in the simulation results by the multiple simulation units 140 to 14N can be corrected, thereby effectively preventing the assessment by the social value assessment unit 160 from being an overestimation.

[0087] If the initial simulation results of each of the multiple simulation units 140 to 14N deviate beyond an allowable range from the actual values ​​of the damage state or restoration state after the actual situation has become clear, the control unit 110 may be configured to review the simulation coefficients, etc. of the corresponding simulation unit 140 to 14N. This allows for a more accurate assessment of changes in social value due to a disaster in the early stages.

[0088] The happiness estimating unit 180 is configured to estimate the well-being of disaster victims based on one or more countermeasures recommended by the countermeasure recommending unit 170, changes in the recovery state over time due to the one or more countermeasures, and the satisfaction level of each disaster victim. Specifically, the happiness estimating unit 180 is configured to estimate the well-being of disaster victims using an AI-based model based on situational conditions predicted from each of the one or more countermeasures, satisfaction level data obtained in past disasters, and satisfaction level data obtained in the current disaster. Here, the satisfaction level data may be, for example, data obtained from survey results of disaster victims.

[0089] Here, well-being will be explained. FIG. 13 is a schematic diagram showing an example of a method for calculating well-being. After a disaster occurs, victims are pressured by the external environment by evacuating to evacuation shelters or by having their homes actually damaged. A method for ascertaining the psychology of victims is to ascertain the victim's psychology based on a satisfaction survey or the amount of supplies consumed at the evacuation shelter. Each victim's satisfaction level is an individual's evaluation of a specific event related to themselves, and satisfaction level changes depending on, for example, environmental aspects such as the comfort and warmth of the evacuation shelter, the supply of lifelines such as the amount and frequency of electricity and water supply, and the supply of supplies.

[0090] The happiness level in this disclosure is an integrated evaluation of multiple levels of satisfaction. Satisfaction levels for multiple events have priorities that can change over time, and the happiness level is obtained by multiplying each level of satisfaction by its priority and accumulating the result. Here, an event is a certain unit for measuring divisible levels of satisfaction. The happiness level can also be obtained by multiplying each individual victim's evaluation by the event conditions.

[0091] Satisfaction is evaluated based on the preferences of the disaster victims, the cleanliness of their clothing and surroundings, etc. Preferences are an evaluation of specific things related to the disaster victims, cleanliness is an evaluation of specific things, and cleanliness is an evaluation of specific events.

[0092] Happiness is thought to change gradually depending on the conditions and timeline of the disaster, the position of the disaster victims, and other factors. For example, immediately after a disaster occurs, life (being alive) takes priority over everything else, and stains and tears on clothing are not an issue. However, as time passes, satisfaction with the environment and various events becomes more important to the survivors. In other words, maintaining life becomes important for survivors, and this is related to the facilities and supply of supplies at evacuation shelters. Once survival is satisfied, victims begin to demand comfort and psychological satisfaction in evacuation shelters. As evacuation life continues, evacuees begin to demand future satisfaction, i.e., future peace of mind and safety. In this way, priorities for satisfying happiness change over time, and disaster victims' needs also change in a wide variety of ways, making it necessary to evaluate happiness based on multiple conditions.

[0093] Here, to estimate each level of satisfaction under the current conditions, a survey is conducted among disaster victims. However, since there may be evacuation centers where surveys are not possible or where the survey results do not reach, there are problems such as not being able to obtain a sufficient number of survey results or not being able to obtain average survey results for disaster victims from a sufficiently mixed source. In addition, to estimate satisfaction, it is necessary to set assumptions. However, surveys under assumptions have limitations in estimating satisfaction, and the inclusion of complex conditions or surveys at different stages in the time series may make it impossible to estimate satisfaction or may result in an incorrect estimate of satisfaction.

[0094] Therefore, in practice, data from past disasters should also be used to evaluate the satisfaction level in the current disaster. FIG. 14 is a conceptual diagram showing an example of a satisfaction level evaluation method. In this embodiment, as shown in FIG. 14, the satisfaction level is estimated using AI. Conditions and assumed conditions obtained from the current disaster are input into a satisfaction level estimation model using AI. This satisfaction level estimation model uses each condition as a parameter and learns the satisfaction level in advance based on a sufficient amount of satisfaction level data for conditions in past disasters. In addition, the satisfaction level estimation model corrects and learns the satisfaction level based on satisfaction level data for conditions in the current disaster.

[0095] The satisfaction level estimation model can be created for each satisfaction level. This allows for estimation of satisfaction levels for each simulation. The input conditions can include environmental factors (direct factors) that can contribute to satisfaction levels, and factors (indirect factors) that indirectly affect each stage of a disaster.

[0096] Next, we will explain a method for estimating happiness levels using multiple satisfaction level estimation models. Figure 15 is a conceptual diagram showing a method for estimating happiness levels using multiple satisfaction level estimation models. As mentioned above, satisfaction level estimation results are obtained for each simulation, so it is essential to estimate individual satisfaction levels from a microscopic perspective for countermeasures, policies, and measures formulated by the national government and local governments.

[0097] The happiness estimating unit 180 sets prediction result conditions for each countermeasure according to the countermeasure, etc. In this case, the conditions include environmental aspects such as the density and facilities of evacuation shelters, lifeline aspects such as the frequency of water distribution and the restoration status of water supply, the status of supply supplies, the number of rescued people, rescue activities, and the scope of medical care provided. The happiness estimating unit 180 inputs the prediction result conditions thus set into multiple satisfaction estimation models, each using AI. The multiple AI-based satisfaction estimation models each estimate a satisfaction rating for the corresponding prediction condition and output the result to the AI-based happiness estimation model. The happiness estimation model estimates a happiness rating from the satisfaction rating for the multiple prediction conditions. The happiness estimating unit 180 outputs the happiness rating estimated in this way, and the transceiver unit 120 transmits the estimated happiness rating to the government agency server 210 or each ministry / agency server 220-22N as necessary.

[0098] <Operation of Disaster Assessment Device> Next, the operation of the disaster assessment device 100 of this embodiment will be described with reference to Figs. 5 to 7. First, the assessment of the damage state when a disaster occurs will be described. Fig. 5 is a flowchart showing an outline of the disaster damage assessment process according to the present disclosure. This disaster damage assessment process is started, for example, when a disaster occurs and disaster occurrence information is provided from the government agency server 210 or each ministry and agency server 220-22N. Here, as with the above, the operation of the disaster assessment device 100 when an earthquake occurs as a disaster will be described.

[0099] Upon receiving disaster occurrence information, the disaster assessment device 100 requests the government agency server 210 and each ministry / agency server 220-22N to transmit disaster-related information via the transmitter / receiver 120. The transmitter / receiver 120 then receives information on the earthquake's scale and epicenter (disaster occurrence information) (step S1) and outputs the received information to the multiple simulation units 140-14N. Each of the multiple simulation units 140-14N executes a simulation of the damage status for the corresponding event in chronological order based on the earthquake's scale and epicenter information (step S2). Each simulation unit 140-14N outputs data indicating the damage status as a simulation result to the other simulation units 140-14N in the subsequent stage, and also outputs the same data to the data conversion unit 150 as necessary. Upon receiving the data indicating the damage status from the simulation units 140-14N, the data conversion unit 150 converts the multiple data indicating the damage status as a simulation result of the corresponding simulation unit 140-14N into data indicating a common social value (step S3).

[0100] The data conversion unit 150 outputs data (converted values) indicating the converted social value to the other simulation units 140 to 14N in the subsequent stage as needed, and also outputs the data to the social value assessment unit 160. When the data conversion unit 150 receives the data indicating the social value converted for the simulation results of all the simulation units 140 to 14N, the social value assessment unit 160 assesses the change in social value due to the disaster based on these multiple pieces of data (step S4).

[0101] The countermeasure recommender 170 then recommends one or more countermeasures (recovery plans) for multiple types of events based on the degree of decline in social value due to the disaster assessed by the social value assessor 160 (step S5). Specifically, if the numerical value indicating social value has declined by a predetermined threshold or more compared to the value before the earthquake, the countermeasure recommender 170 recommends one or more countermeasures according to the degree of decline. The transmitter / receiver 120 transmits this recommended information to the government agency server 210 and each ministry / agency server 220-22N, and the country (government) will decide, as necessary, whether to establish a disaster response headquarters based on these recommended countermeasures.

[0102] Next, the control unit 110 determines whether the transmission / reception unit 120 has received, from the relevant government agency server 220-22N, damage status data indicating the actual value of the damage state corresponding to any of the multiple simulation results of the multiple simulation units 140-14N (step S6). The disaster assessment device 100 waits in this step S6 until the transmission / reception unit 120 receives such damage status data.

[0103] When the control unit 110 determines that any damage status data has been received by the transmission / reception unit 120, the transmission / reception unit 120 outputs the received damage status data to the subsequent simulation unit 140-14N in the time series associated with the corresponding simulation unit 140-14N. The simulation unit 140-14N that received the damage status data then executes its own simulation again and outputs data indicating the damage status as a new simulation result to the other subsequent related simulation unit 140-14N. The other subsequent related simulation unit 140-14N similarly executes its own simulation again, thereby completing the execution of the simulation for the corresponding simulation unit 140-14N (step S7).

[0104] Next, similar to the process of step S3, the data conversion unit 150 converts the data indicating the damage situation as the simulation results of the simulation units 140 to 14N that have re-executed the simulation again into data indicating a common social value (step S8).Then, the social value assessment unit 160 reassesses the change in social value due to the disaster based on multiple data including the re-converted data (converted value) (step S9).

[0105] Next, the countermeasure recommendation unit 170 re-recommends one or more countermeasures (recovery plans) for multiple types of events based on the degree of decline in social value due to the disaster re-evaluated by the social value evaluation unit 160 (step S10), and the control unit 110 terminates this disaster damage evaluation process.

[0106] The type of damage status data obtained varies depending on the type of disaster being simulated, but after starting the disaster damage assessment process, the disaster assessment device 100 simply repeats steps S6 to S10 of this disaster damage assessment process until all damage status data has been received by the transmitter / receiver unit 120.

[0107] Next, evaluation of the recovery state during recovery from a disaster will be described. Fig. 6 is a flowchart showing an outline of the disaster recovery evaluation process according to the present disclosure. This disaster recovery evaluation process is initiated when a national or local government formulates (drafts) a recovery plan, regardless of whether the recovery plan recommended by the countermeasure recommendation unit 170 in step S5 or S10 of the disaster damage assessment process is adopted.

[0108] For example, when disaster assessment device 100 is provided with information on the formulation of a recovery plan based on communication with government agency server 210 or each ministry / agency server 220 to 22N, control unit 110 requests acquisition of recovery plan information via transmission / reception unit 120. Then, transmission / reception unit 120 receives the recovery plan information from government agency server 210 or each ministry / agency server 220 to 22N (step S11), and outputs the received recovery plan information to multiple simulation units 140 to 14N.

[0109] Each of the multiple simulation units 140 to 14N executes a simulation of the recovery state for the corresponding event based on the recovery plan information (step S12). Each simulation unit 140 to 14N outputs data indicating the recovery state as a simulation result to other related simulation units 140 to 14N in the subsequent stage, and also outputs the same data to the data conversion unit 150 as necessary. Upon receiving the data indicating the recovery state from the simulation unit 140 to 14N, the data conversion unit 150 converts the data indicating the recovery status as a simulation result of the corresponding simulation unit 140 to 14N into data indicating a common social value (step S13).

[0110] The data conversion unit 150 outputs data (converted values) indicating the converted social value to the other simulation units 140 to 14N in the subsequent stage as needed, and also outputs the data to the social value assessment unit 160. When the data conversion unit 150 receives the data indicating the social value converted for the simulation results of all the simulation units 140 to 14N, the social value assessment unit 160 assesses the change in social value due to recovery from the disaster based on these multiple pieces of data (step S14).

[0111] The countermeasure recommending unit 170 then recommends one or more countermeasures (countermeasures to be added to or changed from the recovery plan) for multiple types of events based on the degree of increase in social value due to recovery from the disaster evaluated by the social value evaluating unit 160 (step S15). Specifically, if the numerical value indicating the social value has increased or decreased by more than a predetermined threshold compared to the numerical value recommended the previous time, the countermeasure recommending unit 170 recommends one or more countermeasures modified in accordance with the change in social value. The transmitting / receiving unit 120 transmits this recommended information to the government agency server 210 and each ministry / agency server 220-22N, and the country (government) will change or adjust the recovery countermeasures based on these recommended countermeasures as necessary.

[0112] Next, the control unit 110 determines whether the transmission / reception unit 120 has received recovery status data indicating the actual value of the recovery state corresponding to any of the multiple simulation results of the multiple simulation units 140 to 14N from the government agency server 210 or each ministry / agency server 220 to 22N (step S16). The disaster assessment device 100 waits in this step S16 until the transmission / reception unit 120 receives such recovery status data.

[0113] When the control unit 110 determines that any of the recovery status data has been received by the transmitting / receiving unit 120, the transmitting / receiving unit 120 outputs the received recovery status data to the subsequent simulation unit 140-14N in chronological order related to the corresponding simulation unit 140-14N. The simulation unit 140-14N that received the recovery status data then executes its own simulation again and outputs data indicating the recovery state as a new simulation result to the other subsequent related simulation unit 140-14N. The other subsequent related simulation unit 140-14N similarly executes its own simulation again, and the simulation of the corresponding simulation unit 140-14N is executed (step S17).

[0114] Next, similar to the process of step S13, the data conversion unit 150 converts the data indicating the recovery status as the simulation results of the simulation units 140 to 14N that have re-executed the simulations into data indicating a common social value (step S18).Then, the social value assessment unit 160 reassesses the change in social value due to recovery from the disaster based on multiple data including the re-converted data (converted value) (step S19).

[0115] Next, the countermeasure recommendation unit 170 again recommends one or more countermeasures (recovery plans) for multiple types of events based on the degree of increase in social value due to recovery from the disaster as re-evaluated by the social value evaluation unit 160 (step S20), and the control unit 110 terminates this disaster recovery evaluation process.

[0116] The type of recovery actual data obtained varies depending on the type of disaster being simulated, but after starting the disaster recovery evaluation process, the disaster assessment device 100 simply repeats steps S16 to S20 of this disaster recovery evaluation process until recovery from the disaster is essentially complete.

[0117] Finally, we will explain how to estimate the happiness levels of disaster victims during the recovery process. Figure 7 is a flowchart showing an outline of the happiness level estimation process according to the present disclosure. This happiness level estimation process is started at an appropriate time after the disaster damage assessment process or the disaster recovery assessment process is executed.

[0118] When a recovery plan is recommended by steps S5 and S10 of the disaster damage assessment process and steps S15 and S20 of the disaster recovery assessment process and the government, local government, or the like formulates a recovery plan, disaster assessment device 100 receives recovery plan information from government agency server 210 and each ministry / agency server 220-22N via transmitter / receiver 120. Disaster assessment device 100 sets each countermeasure based on the received recovery plan information (step S21).

[0119] Next, the happiness level estimation unit 180 sets predicted situational conditions according to each of the set countermeasures (step S22), and acquires satisfaction level data obtained in past disasters from the storage unit 130 (step S23).

[0120] Next, the happiness level estimation unit 180 calculates data on the disaster satisfaction level from the results of the disaster victim survey (step S24).The happiness level estimation unit 180 then estimates the happiness levels of the disaster victims using an AI model based on these conditions and data (step S25), and ends the happiness level estimation process.

[0121] As described above, the disaster assessment device 100 according to this embodiment is configured to include: a plurality of simulation units 140-14N that perform simulations of damage conditions for multiple types of disaster-related events in response to the occurrence of a disaster; a data conversion unit 150 that converts data indicating the damage conditions resulting from each of the simulation units 140-14N into data indicating a common social value; a social value assessment unit 160 that assesses changes in social value due to the disaster based on the multiple data converted by the data conversion unit 150; and a countermeasure recommendation unit 170 that recommends one or more countermeasures for the multiple types of events based on the degree of decline in social value due to the disaster assessed by the social value assessment unit 160. By receiving the recommended countermeasures, the country (government) can decide whether to establish a disaster response headquarters based on these countermeasures, as needed, and can use this recommended information to determine disaster relief activities to be carried out for residents in areas affected by the earthquake disaster, as needed.

[0122] Furthermore, the disaster assessment device 100 according to this embodiment includes a plurality of simulation units 140 to 14N that each perform a simulation of the damage state for a plurality of types of events caused by a disaster in response to the occurrence of a disaster; a data conversion unit 150 that converts data indicating the damage state as a result of each of the simulation units 140 to 14N into data indicating a common social value; a social value assessment unit 160 that evaluates changes in social value due to the disaster based on the plurality of data converted by the data conversion unit 150; and a transmission / reception unit 120 that receives disaster recovery plan information. The plurality of simulation units 140 to 14N each perform a simulation of the recovery state from a disaster for a plurality of types of events based on the recovery plan information, the data conversion unit 150 converts the data indicating the recovery state as a result of the simulation in each of the plurality of simulation units 140 to 14N into data indicating a common social value, and the social value assessment unit 160 is configured to evaluate changes in social value due to recovery from the disaster based on the plurality of data converted by the data conversion unit 150. This will allow the national government and local governments in affected areas to use these recommended countermeasures as needed to update and decide on disaster relief activities to be carried out for residents in areas affected by earthquake disasters.

[0123] The disaster assessment device 100 according to this embodiment is further configured to include a happiness level estimation unit 180 that estimates the happiness levels of disaster victims based on one or more recommended countermeasures, changes in the recovery state over time due to the one or more countermeasures, and the satisfaction levels of each disaster victim. By estimating the satisfaction and happiness levels of disaster victims, which cannot normally be assessed, it is possible to comprehensively grasp the impact of the disaster and determine the appropriateness of the countermeasures.

[0124] The disaster assessment method according to this embodiment is configured to perform simulations of damage conditions for multiple types of disaster-related events in response to the occurrence of a disaster, convert data indicating the damage conditions resulting from the multiple simulations into data indicating a common social value, evaluate changes in social value due to the disaster based on the multiple converted data, and recommend one or more countermeasures for the multiple types of events based on the evaluated degree of decline in social value due to the disaster, thereby achieving the same effects as the disaster assessment device 100 described above.

[0125] Furthermore, the disaster assessment method according to this embodiment is configured to, in response to the occurrence of a disaster, perform simulations of damage states for multiple types of disaster-related events, convert data indicating the damage states as the results of the multiple simulations into data indicating a common social value, evaluate changes in social value due to the disaster based on the converted data, receive disaster recovery plan information, perform simulations of recovery states from the disaster for multiple types of events based on the recovery plan information, convert data indicating the recovery states as the results of the multiple simulations into data indicating a common social value, and evaluate changes in social value due to recovery from the disaster based on the converted data. This provides the same effects as the disaster assessment device 100 described above.

[0126] Finally, the hardware configuration of the disaster assessment device 100 will be described. FIG. 16 is a block diagram showing an example of the hardware configuration of the disaster assessment device 100 of the present disclosure. As shown in FIG. 16, the disaster assessment device 100 includes a network interface 1010, a processor 1020, and a memory 1030. The network interface 1010 may be used to communicate with a network node. The network interface 1010 may include, for example, a network interface card (NIC) compliant with the IEEE 802.3 series. IEEE stands for Institute of Electrical and Electronics Engineers.

[0127] The processor 1020 reads and executes software (computer programs) from the memory 1030 to perform various processes of the disaster assessment device 100 described using the flowcharts. The processor 1020 may be, for example, a microprocessor, a microprocessing unit (MPU), or a central processing unit (CPU). The processor 1020 may include multiple processors.

[0128] The memory 1030 is configured by a combination of volatile memory and non-volatile memory. The memory 1030 may include storage located remotely from the processor 1020. In this case, the processor 1020 may access the memory 1030 via an I / O (Input / Output) interface (not shown).

[0129] 16, the memory 1030 is used to store software modules. The processor 1020 reads and executes these software modules from the memory 1030, thereby performing various processes of the disaster assessment device 100 described in the above embodiment.

[0130] As explained using Figure 16, each of the processors of the disaster assessment device 100 in the above-mentioned embodiment executes one or more programs including a set of instructions for causing a computer to perform the algorithm explained using the drawings.

[0131] Some or all of the processing in the disaster assessment device 100 described above can be implemented as a computer program. Such a program can be stored and provided to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible recording media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). The program may also be provided to a computer by various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire or an optical fiber, or via a wireless communication path.

[0132] Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above embodiments and can be modified as appropriate without departing from the spirit of the present invention. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0133] Some or all of the above embodiments may be described as in the following supplementary notes, but are not limited to the following: (Supplementary Note 1) A disaster assessment device comprising: a plurality of simulation units that, in response to the occurrence of a disaster, respectively perform simulations of damage states caused by the disaster for a plurality of types of events; a data conversion unit that converts data indicating the damage states as simulation results of each of the plurality of simulation units into data indicating a common social value; a social value assessment unit that evaluates a change in social value caused by the disaster based on the plurality of data converted by the data conversion units; and a countermeasure recommendation unit that recommends one or more countermeasures for the plurality of types of events based on the degree of decline in social value caused by the disaster evaluated by the social value assessment unit. (Supplementary Note 2) The disaster assessment device according to Supplementary Note 1, wherein, when the social value assessment unit re-evaluates the change in social value caused by the disaster, the countermeasure recommendation unit updates the recommended one or more countermeasures based on the re-evaluated change in social value and recommends the updated one or more countermeasures. (Supplementary Note 3) The disaster assessment device according to Supplementary Note 1, wherein the data indicating the damage state as a result of multiple simulations by the multiple simulation units includes data that can be converted into a damage amount, data that indicates a relative evaluation of the damage state caused by the occurrence of the disaster against a reference state, data obtained by weighting and adding multiple evaluation values, data based on rankings, and data based on numbers of similar evaluation values, and the data conversion unit converts the multiple data obtained using different evaluation methods into multiple data indicating the common social value. (Supplementary Note 4) The disaster assessment device according to Supplementary Note 1, wherein each of the multiple simulation units receives as input values ​​a disaster variable value that varies depending on the content of the disaster, a non-disaster variable value that varies with the passage of time since the occurrence of the disaster regardless of the content of the disaster, and a fixed value that does not vary depending on the content of the disaster.(Supplementary Note 5) The disaster assessment device according to Supplementary Note 1, wherein each of the plurality of simulation units simulates a damage state for the event in accordance with a time series from the occurrence of the disaster, and each of the plurality of simulation units receives as input values ​​data indicating the damage state as a simulation result of another simulation unit that has simulated the damage state for one or more events that occurred before the event in the time series of the target event. (Supplementary Note 6) The disaster assessment device according to Supplementary Note 5, further comprising a transmission / reception unit that receives damage state data indicating actual values ​​of the damage state that has occurred due to the disaster and whose actual situation has become clear, and wherein the damage state data received by the transmission / reception unit is input to each of the plurality of simulation units instead of data indicating the damage state as a simulation result of the other simulation units. (Supplementary Note 7) The disaster assessment device according to Supplementary Note 6, wherein the data conversion unit converts the damage status data into data indicative of a common social value, and re-converts data indicative of the damage state as new simulation results of the simulation unit to which the damage status data has been input and other simulation units related to the simulation unit into data indicative of the common social value, and the social value assessment unit re-assess a change in social value caused by the disaster based on the converted value of the damage status data received by the transmitting and receiving unit and the data indicative of the common social value re-converted by the data conversion unit. (Supplementary Note 8) The disaster assessment device according to Supplementary Note 6, wherein the transmitting and receiving unit receives disaster occurrence information indicative of the scale and location of the disaster after the disaster has occurred, and the plurality of simulation units respectively simulate the damage state for the plurality of types of events based on the disaster occurrence information received by the transmitting and receiving units. (Appendix 9) The disaster assessment device described in Appendix 1, wherein, if the disaster is caused by an earthquake and subsequent tsunami, the damage caused by the disaster includes damage to buildings and facilities in flooded areas, damage to historical and social assets, damage to logistics and economic activities, and human damage.(Supplementary Note 10) A disaster assessment device as described in Supplementary Note 9, further comprising a memory unit that stores data on buildings and social infrastructure having specific added value, wherein the plurality of simulation units include at least a road and building damage simulation unit that simulates the damage state of roads and buildings, and an infrastructure damage simulation unit that simulates the damage state of social infrastructure, and the road and building damage simulation unit and the infrastructure damage simulation unit each simulate the damage state for the buildings and social infrastructure having the specific added value stored in the memory unit, taking the specific added value into consideration. (Supplementary Note 11) A disaster assessment device comprising: a plurality of simulation units that, in response to the occurrence of a disaster, respectively simulate damage states caused by the disaster for a plurality of types of events; a data conversion unit that converts data indicating the damage states as simulation results of each of the plurality of simulation units into data indicating a common social value; a social value assessment unit that evaluates changes in the social value caused by the disaster based on the plurality of data converted by the data conversion units; and a transceiver unit that receives recovery plan information for the disaster, wherein the plurality of simulation units respectively simulate recovery states from the disaster for the plurality of types of events based on the recovery plan information, the data conversion unit converts data indicating the recovery states as simulation results of each of the plurality of simulation units into data indicating a common social value, and the social value assessment unit evaluates changes in the social value caused by the recovery from the disaster based on the plurality of data converted by the data conversion units. (Appendix 12) The disaster assessment device described in Appendix 11, wherein the transmission / reception unit receives actual recovery data indicating actual values ​​of the recovery state when the actual situation has become clear, and the actual recovery data received by the transmission / reception unit is input to each of the plurality of simulation units instead of data indicating the recovery state as a simulation result of the plurality of simulation units corresponding to the recovery state when the actual situation has become clear.(Supplementary Note 13) The disaster assessment device according to Supplementary Note 12, wherein the data conversion unit converts the recovery status data into data indicative of a common social value, and re-converts data indicative of the recovery state as new simulation results of the simulation unit to which the recovery status data has been input and other simulation units related to the simulation unit into data indicative of the common social value, and the social value assessment unit re-assesses a change in social value due to the recovery from the disaster based on the converted value of the recovery status data received by the transmitting / receiving unit and the data indicative of the common social value re-converted by the data conversion unit. (Supplementary Note 14) The disaster assessment device according to any one of Supplementary Notes 11 to 13, further comprising a countermeasure recommendation unit that recommends one or more countermeasures for the plurality of types of events based on the degree of increase in social value due to the recovery from the disaster assessed by the social value assessment unit. (Supplementary Note 15) The disaster assessment device according to Supplementary Note 14, wherein, when the social value assessment unit re-assessed a change in social value due to recovery from the disaster, the countermeasure recommendation unit updates the recommended one or more countermeasures based on the re-assessed change in social value and recommends the updated one or more countermeasures. (Supplementary Note 16) The disaster assessment device according to Supplementary Note 14, further comprising a happiness degree estimation unit that estimates a happiness degree of the disaster victims based on the one or more countermeasures, a change over time in the recovery state due to the one or more countermeasures, and a satisfaction level of each disaster victim. (Supplementary Note 17) The disaster assessment device according to Supplementary Note 15, further comprising a happiness degree estimation unit that estimates a happiness degree of the disaster victims based on the one or more countermeasures or the one or more updated countermeasures, the change over time in the recovery state due to the one or more countermeasures, and a satisfaction level of each disaster victim. (Supplementary Note 18) The disaster assessment device according to Supplementary Note 16, wherein the happiness level estimation unit estimates the happiness levels of the disaster victims using an AI model based on situational conditions predicted from each of the countermeasures, satisfaction level data obtained in disasters that have occurred in the past, and satisfaction level data obtained in the current disaster. (Supplementary Note 19) The disaster assessment device according to Supplementary Note 18, wherein the satisfaction level data is data obtained from a survey result of the disaster victims.(Supplementary Note 20) A disaster evaluation method comprising, in response to the occurrence of a disaster, performing simulations of damage states caused by the disaster for a plurality of types of events, respectively, converting data indicating the damage states as a result of the plurality of simulations into data indicating a common social value, evaluating a change in the social value caused by the disaster based on the converted plurality of data, and recommending one or more countermeasures for the plurality of types of events based on the evaluated degree of decline in social value caused by the disaster. (Supplementary Note 21) A disaster evaluation method comprising, in response to the occurrence of a disaster, performing simulations of damage states caused by the disaster for a plurality of types of events, respectively, converting data indicating the damage states as a result of the plurality of simulations into data indicating a common social value, evaluating a change in the social value caused by the disaster based on the converted plurality of data, receiving recovery plan information for the disaster, performing simulations of recovery states from the disaster for the plurality of types of events based on the recovery plan information, converting data indicating the recovery states as a result of the plurality of simulations into data indicating a common social value, and evaluating a change in the social value caused by the recovery from the disaster based on the converted plurality of data. (Supplementary Note 22) A program that causes a computer to execute the following processes: a process of simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of the disaster; a process of converting data indicating the damage state as the results of the multiple simulations into data indicating a common social value; a process of evaluating changes in the social value caused by the disaster based on the multiple converted data; and a process of recommending one or more countermeasures for the multiple types of events based on the evaluated degree of decline in social value caused by the disaster.(Supplementary Note 23) A program that causes a computer to execute the following processes: a process of simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of the disaster; a process of converting data indicating the damage state as the results of the multiple simulations into data indicating a common social value; a process of evaluating changes in the social value caused by the disaster based on the multiple converted data; a process of receiving recovery plan information for the disaster; a process of simulating the recovery state from the disaster for the multiple types of events based on the recovery plan information; a process of converting data indicating the recovery state as the results of the multiple simulations into data indicating a common social value; and a process of evaluating changes in the social value caused by the recovery from the disaster based on the multiple converted data.

[0134] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 10 that are dependent on Supplementary Notes 1 may also be dependent on Supplementary Notes 20 and 22 in the same dependency relationship as Supplementary Notes 2 to 10. Also, some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 12 to 19 that are dependent on Supplementary Notes 11 may also be dependent on Supplementary Notes 20 and 22 in the same dependency relationship as Supplementary Notes 12 to 19. Some or all of the elements described in any Supplementary Note may be applicable to various hardware, software, recording means for recording software, systems, and methods.

[0135] This application claims priority based on Japanese Patent Application No. 2024-44648, filed March 21, 2024, the disclosure of which is incorporated herein by reference in its entirety.

[0136] 100 Disaster assessment device 110 Control unit 120 Transmitting / receiving unit 130 Memory unit 140-14N Simulation unit 150 Data conversion unit 160 Social value assessment unit 170 Countermeasure recommendation unit 180 Happiness degree estimation unit 210 Government agency server 220-22N Each ministry and agency server 230 People flow server 240 Traffic-related server 300 Network 1010 Network interface 1020 Processor 1030 Memory

Claims

1. A disaster assessment device comprising: a plurality of simulation means for respectively simulating the damage state caused by a disaster for a plurality of types of events in response to the occurrence of a disaster; a data conversion means for converting data indicating the damage state as a simulation result of each of the plurality of simulation means into data indicating a common social value; a social value assessment means for assessing changes in the social value caused by the disaster based on the plurality of data converted by the data conversion means; and a countermeasure recommendation means for recommending one or more countermeasures for the plurality of types of events based on the degree of decline in social value caused by the disaster assessed by the social value assessment means.

2. The disaster assessment device of claim 1, wherein when the social value assessment means reassess the change in social value due to the disaster, the countermeasure recommendation means updates the one or more recommended countermeasures based on the reassessed change in social value and recommends the one or more updated countermeasures.

3. A disaster assessment device as described in claim 1, wherein each of the plurality of simulation means simulates the damage state for the event in accordance with the time series from the occurrence of the disaster, and each of the plurality of simulation means receives as input values ​​data indicating the damage state as the simulation result of other simulation means that have simulated the damage state for one or more events that occurred before the target event in the time series of the event.

4. A disaster assessment device as described in claim 3, further comprising a transmission / reception means for receiving actual damage data indicating the actual value of the damage state that has occurred due to the disaster and whose actual situation has become clear, and the damage state data received by the transmission / reception means is input to each of the plurality of simulation means instead of data indicating the damage state as a simulation result of the other simulation means.

5. The disaster assessment device described in claim 4, wherein the data conversion means converts the damage status data into data indicating a common social value, and reconverts the data indicating the damage state as a new simulation result of the simulation means to which the damage status data has been input and other simulation means related to the simulation means into data indicating the common social value, and the social value assessment means reassess the change in social value caused by the disaster based on the converted value of the damage status data received by the transmission / reception means and the data indicating the common social value reconverted by the data conversion means.

6. The disaster assessment device of claim 4, wherein the transmitting / receiving means receives disaster occurrence information indicating the scale and location of the disaster after the disaster occurs, and the plurality of simulation means each simulates the damage state for the plurality of types of events based on the disaster occurrence information received by the transmitting / receiving means.

7. The disaster assessment device according to claim 1, wherein, when the disaster is caused by an earthquake and subsequent tsunami, the damage caused by the disaster includes damage to buildings and facilities in flooded areas, damage to historical and social assets, damage to logistics and economic activities, and human damage.

8. A disaster assessment device as described in claim 7, further comprising a storage means for storing data on buildings and social infrastructure having specific added value, wherein the plurality of simulation means include at least a road and building damage simulation means for simulating the damage state of roads and buildings, and an infrastructure damage simulation means for simulating the damage state of social infrastructure, and the road and building damage simulation means and the infrastructure damage simulation means each simulate the damage state for the buildings and social infrastructure having the specific added value stored in the storage means, taking into account the specific added value.

9. A disaster assessment device comprising: a plurality of simulation means that, in response to the occurrence of a disaster, respectively simulate the damage state caused by the disaster for a plurality of types of events; a data conversion means that converts data indicating the damage state as a simulation result of each of the plurality of simulation means into data indicating a common social value; a social value assessment means that evaluates changes in the social value caused by the disaster based on the plurality of data converted by the data conversion means; and a transmission / reception means that receives recovery plan information for the disaster, wherein the plurality of simulation means respectively simulate the recovery state from the disaster for the plurality of types of events based on the recovery plan information, the data conversion means converts data indicating the recovery state as a simulation result of each of the plurality of simulation means into data indicating a common social value, and the social value assessment means evaluates changes in the social value caused by the recovery from the disaster based on the plurality of data converted by the data conversion means.

10. A disaster assessment device as described in claim 9, wherein the transmitting / receiving means receives actual recovery data indicating the actual value of the recovery state when the actual situation has become clear, and the actual recovery data received by the transmitting / receiving means is input to each of the plurality of simulation means instead of data indicating the recovery state as a simulation result of the plurality of simulation means corresponding to the recovery state when the actual situation has become clear.

11. The disaster assessment device described in claim 10, wherein the data conversion means converts the recovery status data into data indicating a common social value, and re-converts the data indicating the recovery state as a new simulation result of the simulation means to which the recovery status data has been input and other simulation means related to the simulation means into data indicating the common social value, and the social value assessment means re-assesses the change in social value due to recovery from the disaster based on the converted value of the recovery status data received by the transmission / reception means and the data indicating the common social value re-converted by the data conversion means.

12. A disaster assessment device as described in any one of claims 9 to 11, further comprising a countermeasure recommendation means for recommending one or more countermeasures for the multiple types of events based on the degree of increase in social value due to recovery from the disaster assessed by the social value assessment means.

13. The disaster assessment device described in claim 12, wherein, when the social value assessment means reassess the change in social value due to recovery from the disaster, the countermeasure recommendation means updates the one or more recommended countermeasures based on the reassessed change in social value and recommends the one or more updated countermeasures.

14. The disaster assessment device described in claim 12, further comprising a happiness level estimation means for estimating the happiness level of each disaster victim based on the one or more countermeasures, the change in the recovery status over time due to the one or more countermeasures, and the satisfaction level of each disaster victim.

15. The disaster assessment device described in claim 13, further comprising a happiness level estimation means for estimating the happiness level of each disaster victim based on the one or more countermeasures or the one or more updated countermeasures, changes in the recovery status over time due to the one or more countermeasures, and the satisfaction level of each disaster victim.

16. The disaster assessment device described in claim 14, wherein the happiness level estimation means estimates the happiness level of the disaster victims using an AI model based on situational conditions predicted from each of the countermeasures, satisfaction level data obtained in past disasters, and satisfaction level data obtained in the current disaster.

17. A disaster assessment method comprising: simulating the damage caused by a disaster for multiple types of events in response to the occurrence of a disaster; converting data indicating the damage resulting from the multiple simulations into data indicating a common social value; evaluating changes in social value caused by the disaster based on the multiple converted data; and recommending one or more countermeasures for the multiple types of events based on the assessed degree of decline in social value caused by the disaster.

18. A disaster assessment method comprising the steps of: in response to the occurrence of a disaster, simulating the damage state caused by the disaster for each of a plurality of types of events; converting data indicating the damage state as the results of the plurality of simulations into data indicating a common social value; evaluating changes in the social value caused by the disaster based on the converted plurality of data; receiving recovery plan information for the disaster; simulating the recovery state from the disaster for each of the plurality of types of events based on the recovery plan information; converting data indicating the recovery state as the results of the plurality of simulations into data indicating a common social value; and evaluating changes in the social value caused by recovery from the disaster based on the converted plurality of data.

19. A program that causes a computer to execute the following processes: a process of simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of a disaster; a process of converting data indicating the damage state as the results of multiple simulations into data indicating a common social value; a process of evaluating changes in social value caused by the disaster based on the multiple converted data; and a process of recommending one or more countermeasures for the multiple types of events based on the evaluated degree of decline in social value caused by the disaster.

20. A program that causes a computer to execute the following processes: a process of simulating the damage state caused by a disaster for multiple types of events in response to the occurrence of a disaster; a process of converting data indicating the damage state as the results of the multiple simulations into data indicating a common social value; a process of evaluating changes in the social value caused by the disaster based on the multiple converted data; a process of receiving recovery plan information for the disaster; a process of simulating the recovery state from the disaster for multiple types of events based on the recovery plan information; a process of converting data indicating the recovery state as the results of the multiple simulations into data indicating a common social value; and a process of evaluating changes in the social value caused by recovery from the disaster based on the multiple converted data.

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