A human habitat space resilience detection method

Abstract

The application discloses a human habitat space resilience detection method, and relates to the technical field of resilience detection. The method comprises the following steps: acquiring multiple different space data of a target human habitat city; processing the multiple different space data, and constructing a city space database according to the processed data; determining index values of multiple resilience indexes of the target human habitat city based on the city space database; and determining the space resilience of the target human habitat city based on the index values of the multiple resilience indexes. Through the combination calculation of different resilience indexes, the finally obtained space resilience can reflect the resilience evaluation results of different targets and different perspectives of the target human habitat city, so that the evaluation of the space resilience is more comprehensive.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban resilience detection, and particularly relates to a human settlement space resilience detection method. BACKGROUND

[0002] Resilience is a process of a system in a series of event actions and state changes, including preparation activities before disasters, emergency responses during disasters and emergency plan execution after disasters. In recent years, the concept of resilience has gradually combined with human settlement city development to form the concept of human settlement space resilience. Space resilience has an impact on the system of the region at multiple spatial and temporal scales, and is a branch system of the change of resilience in space. SUMMARY

[0003] Therefore, the present application aims to provide a human settlement space resilience detection method.

[0004] To achieve the above-mentioned purpose, the present application adopts the following technical scheme:

[0005] A human settlement space resilience detection method, the method comprising the following steps:

[0006] Obtaining a plurality of different space data of a target human settlement city;

[0007] Processing the plurality of different space data, and constructing a city space database based on the processed data;

[0008] Determining index values of a plurality of resilience indexes of the target human settlement city based on the city space database;

[0009] Determining the space resilience of the target human settlement city based on the index values of the plurality of resilience indexes.

[0010] In some embodiments of the present application, the obtaining of the plurality of different space data of the target human settlement city comprises:

[0011] Obtaining location interest point data of the target human settlement city, the location interest point data comprising name information, type information and location information of the location interest point;

[0012] The processing of the plurality of different space data comprises:

[0013] Obtaining, in the location interest point data, the location interest point data with the type information being first type information as fire-fighting facility point data, the first type information being fire-fighting related information;

[0014] Obtain, as emergency shelter facility point data, the location interest point data of which type information is second type information, the second type information representing a place suitable for emergency shelter in an earthquake;

[0015] The method further includes obtaining a plurality of different spatial data of the target human settlement city, including:

[0016] The method further includes obtaining medical facility data of the target human settlement city, the medical facility data including location information, name information, property information and level information of medical facilities;

[0017] The method further includes processing the plurality of different spatial data, including:

[0018] The method further includes determining the medical facility point data based on the medical facility data;

[0019] The method further includes constructing a city spatial database based on the processed data, including:

[0020] The method further includes constructing the city spatial database based on the fire facility point data, the medical facility point data and the emergency shelter facility point data.

[0021] In some embodiments of the present application, the method further includes determining index values of a plurality of resilience indexes of the target human settlement city based on the city spatial database, including:

[0022] The method further includes determining each street unit of the target human settlement city;

[0023] The method further includes determining, according to the fire facility point data, fire facility robustness, fire facility redundancy, fire facility diversity and fire facility rapidity of each street unit, the fire facility diversity including fire facility selection diversity and fire facility transfer diversity;

[0024] The method further includes determining, according to the medical facility point data, medical facility robustness, medical facility redundancy, medical facility diversity and medical facility rapidity of each street unit, the medical facility diversity including medical facility selection diversity and medical facility transfer diversity;

[0025] The method further includes determining, according to the emergency shelter facility point data, emergency shelter facility robustness, emergency shelter facility redundancy, emergency shelter facility diversity and emergency shelter facility rapidity of each street unit, the emergency shelter facility diversity including emergency shelter facility selection diversity and emergency shelter facility transfer diversity.

[0026] In some embodiments of the present application, the method further includes determining, according to the fire facility point data, fire facility robustness, fire facility redundancy, fire facility diversity and fire facility rapidity of each street unit, including:

[0027] determining the centrality of each of the medical facility points in each of the block units;

[0028] determining the medical facility robustness of each of the block units based on the centrality of each of the medical facility points in each of the block units;

[0029] determining the service area of each of the medical facility points;

[0030] determining the medical facility redundancy of each of the block units based on the number of the medical facility points in each of the block units whose service areas overlap;

[0031] determining the number of selectable facility points for each of the medical demand points in each of the block units, and determining the medical facility selection diversity of each of the block units;

[0032] determining the number of transferable facility points for each of the medical demand points in each of the block units within a preset range, and determining the medical facility transfer diversity of each of the block units;

[0033] determining the medical facility rapidity of each of the medical facility points based on the shortest travel time of each of the medical facility points to other medical facility points except the medical facility point itself;

[0034] determining the medical facility rapidity of each of the block units based on the medical facility rapidity of each of the medical facility points in each of the block units.

[0035] In some embodiments of the present application, the determination of the medical facility robustness, the medical facility redundancy, the medical facility diversity and the medical facility rapidity of each of the block units based on the medical facility point data comprises:

[0036] determining the centrality of each of the medical facility points in each of the block units;

[0037] determining the medical facility robustness of each of the block units based on the centrality of each of the medical facility points in each of the block units;

[0038] determining the service area of each of the medical facility points;

[0039] determining the medical facility redundancy of each of the block units based on the number of the medical facility points in each of the block units whose service areas overlap;

[0040] determining the number of selectable facility points for each of the medical demand points in each of the block units, and determining the medical facility selection diversity of each of the block units;

[0041] determining the number of transferable facility points for each of the medical demand points in each of the block units within a preset range, and determining the medical facility transfer diversity of each of the block units;

[0042] determine the medical facility rapidity of each of the medical facility points based on the shortest travel time of each of the medical facility points to other medical facility points other than the medical facility point;

[0043] determine the medical facility rapidity of each of the medical facility points based on the shortest travel time of each of the medical facility points to other medical facility points other than the medical facility point;

[0044] In some embodiments of the present application, the determination of the emergency shelter facility robustness, the emergency shelter facility redundancy, the emergency shelter facility diversity, and the emergency shelter facility rapidity of each of the block units according to the emergency shelter facility point data comprises:

[0045] determine the centrality of each of the emergency shelter facility points in each of the block units;

[0046] determine the emergency shelter facility robustness of each of the block units based on the centrality of each of the emergency shelter facility points in each of the block units;

[0047] determine the service area of each of the emergency shelter facility points;

[0048] determine the emergency shelter facility redundancy of each of the block units based on the number of the emergency shelter facility points in each of the block units whose service areas overlap;

[0049] determine the emergency shelter facility selection diversity of each of the block units based on the number of the facility points that can be selected by each of the emergency shelter demand points in each of the block units;

[0050] determine the emergency shelter facility transfer diversity of each of the block units based on the number of the facility points that can be transferred by each of the emergency shelter demand points in each of the block units within a preset range;

[0051] determine the emergency shelter facility rapidity of each of the emergency shelter facility points based on the shortest travel time of each of the emergency shelter facility points to other emergency shelter facility points other than the emergency shelter facility point;

[0052] determine the emergency shelter facility rapidity of each of the block units based on the emergency shelter facility rapidity of each of the emergency shelter facility points in each of the block units.

[0053] In some embodiments of the present application, the determination of the spatial resilience of the target human settlement city based on the index values of the plurality of resilience indicators comprises:

[0054] normalizing the fire facility robustness, the fire facility redundancy, the fire facility diversity and the fire facility rapidity of each of the block units;

[0055] determining the fire facility spatial resilience of each of the block units based on the normalized fire facility robustness, the fire facility redundancy, the fire facility diversity and the fire facility rapidity of each of the block units;

[0056] determining the medical facility spatial resilience of each of the block units based on the normalized medical facility robustness, the medical facility redundancy, the medical facility diversity and the medical facility rapidity of each of the block units;

[0057] determining the emergency shelter facility spatial resilience of each of the block units based on the normalized emergency shelter facility robustness, the emergency shelter facility redundancy, the emergency shelter facility diversity and the emergency shelter facility rapidity of each of the block units;

[0058] determining the spatial resilience of the target human settlement city based on the fire facility spatial resilience of each of the block units, the medical facility spatial resilience of each of the block units and the emergency shelter facility spatial resilience of each of the block units.

[0059] In some embodiments of the present application, the method further comprises the following steps:

[0060] obtaining city road traffic data of the target human settlement city, the city road traffic data comprising position information, length information, type information and road name of the road;

[0061] obtaining building data of the target human settlement city, the building data comprising position and size information of the building, the size information comprising length, width and height;

[0062] constructing a post-disaster scene based on the city road traffic data and the building data;

[0063] determining post-disaster spatial resilience of the target human settlement city in the post-disaster scene.

[0064] In some embodiments of the present application, the constructing a post-disaster scene based on the city road traffic data and the building data comprises:

[0065] determining buildings predicted to collapse in the building data based on the building data and a preset earthquake level;

[0066] determining an influence area of each predicted collapsed building after collapse;

[0067] determining an interrupted road in the urban road traffic data and an interruption point in the interrupted road based on each influence area, thereby updating the urban road traffic data;

[0068] updating the urban spatial database based on the updated urban road traffic data;

[0069] determining index values of a plurality of post-disaster resilience indexes of the target human settlement city based on the updated urban spatial database;

[0070] determining post-disaster spatial resilience of the target human settlement city based on the index values of the plurality of post-disaster resilience indexes.

[0071] In some embodiments of the present application, the method further comprises determining a fire-fighting facility point adjustment strategy, a medical facility point adjustment strategy, an emergency shelter facility point adjustment strategy, and / or a road planning adjustment strategy based on the post-disaster spatial resilience of the target human settlement city.

[0072] The human settlement spatial resilience detection method provided by the present application has the following beneficial effects:

[0073] According to the plurality of different spatial data of the target human settlement city, the urban spatial database is constructed, the index values of the plurality of resilience indexes of the target human settlement city are determined according to the urban spatial database, and finally the spatial resilience of the target human settlement city is determined. In this way, through the combination calculation of different resilience indexes, the spatial resilience finally obtained can reflect the resilience evaluation results of different targets and different perspectives of the target human settlement city, so that the evaluation of the spatial resilience is more comprehensive. BRIEF DESCRIPTION OF DRAWINGS

[0074] The above and other objects, features and advantages of the present application will become more apparent from the following description of embodiments of the present application with reference to the attached drawings.

[0075] Figure 1 Fig. 1 shows a flowchart of a human settlement spatial resilience detection method provided by an embodiment of the present application;

[0076] Figure 2 Fig. 2 shows a flowchart of determining index values of a plurality of resilience indexes in the human settlement spatial resilience detection method provided by the embodiment of the present application;

[0077] Figure 3 Fig. 3 shows a flowchart of determining robustness, redundancy, diversity and rapidity of various facilities in the human settlement spatial resilience detection method provided by the embodiment of the present application;

[0078] Figure 4A flowchart illustrating a process of determining the spatial resilience of a target human settlement city in the human settlement space resilience detection method provided by the embodiment of the present application is shown.

[0079] Figure 5 Another flowchart illustrating the human settlement space resilience detection method provided by the embodiment of the present application is shown.

[0080] Figure 6 A flowchart illustrating a process of constructing a post-disaster scenario in the human settlement space resilience detection method provided by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0081] The present application is described below based on examples, and those of ordinary skill in the art should understand that the drawings provided herein are for illustrative purposes only and are not necessarily drawn to scale.

[0082] Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is to say, in the sense of "including, but not limited to".

[0083] Resilience is a process of a system in a series of event actions and state changes, including pre-disaster preparation activities, emergency response during disaster, and emergency plan execution after disaster. In recent years, the concept of resilience has gradually combined with the development of human settlement cities, forming the concept of human settlement space resilience. Spatial resilience has an impact on the system of a region at multiple spatial and temporal scales, and is a branch system of spatial changes in resilience.

[0084] An example embodiment of the present disclosure provides a human settlement space resilience detection method, as shown in the figure, the method comprises the following steps: Figure 1

[0085] S100, obtaining a plurality of different spatial data of a target human settlement city.

[0086] The spatial data may, for example, include building data, road data, medical facilities data and other space resilience related data of the target human settlement city, and can be obtained from statistical data, survey data, remote sensing image data, city planning data, map data and the like.

[0087] S200, processing the plurality of different spatial data, and constructing a city space database based on the processed data.

[0088] ​The processing of the plurality of different spatial data may, for example, include target data extraction, noise data removal, invalid data removal, duplicate data merging, etc. After the processing of the plurality of different spatial data is completed, the processed data can be constructed into a city spatial database, so as to subsequently determine the spatial resilience of the target human settlement city according to the data in the city spatial database.

[0089] S300, determining the index values of the plurality of resilience indexes of the target human settlement city based on the city spatial database.

[0090] In this step, the index values of the plurality of different resilience indexes are determined based on the city spatial database. The resilience indexes may, for example, include robustness, redundancy, diversity, speed, adaptability, resilience, flexibility, innovation ability, etc. Different resilience indexes respectively represent the resilience of the city space in different aspects.

[0091] S400, determining the spatial resilience of the target human settlement city based on the index values of the plurality of resilience indexes.

[0092] The spatial resilience of the target human settlement city is determined according to the index values of the plurality of resilience indexes, so that the finally determined result can reflect the spatial resilience of the target human settlement city from multiple different angles.

[0093] In the human settlement space resilience detection method provided by the embodiment, the city spatial database is constructed according to the plurality of different spatial data of the target human settlement city, the index values of the plurality of resilience indexes of the target human settlement city are determined based on the city spatial database, and the spatial resilience of the target human settlement city is finally determined. In this way, through the combination calculation of different resilience indexes, the finally obtained spatial resilience can reflect the resilience evaluation result of the target human settlement city from different targets and different perspectives, so that the evaluation of the spatial resilience is more comprehensive.

[0094] In an embodiment, step S100 specifically includes:

[0095] The location interest point data of the target human settlement city is obtained, and the location interest point data includes name information, type information and location information of the location interest point.

[0096] The location interest point (POI, Point of Interest) can be selected according to requirements, and may, for example, include fire stations, emergency shelters, and emergency shelters may, for example, include schools, parks, squares and parking lots. The location interest point data can be obtained by crawling the navigation map data through a crawler tool.

[0097] Step S200 specifically includes:

[0098] In the location interest point data, location interest point data with type information as the first type information is obtained as fire facility point data, and the first type information is fire-related information.

[0099] For example, location interest point data with two characters of fire in the type information can be extracted as fire facility point data. In order to improve the accuracy of the extracted information, after the extraction is completed, useless data such as micro fire stations and fire offices can be removed. In order to avoid omission of fire facility points, planning data of the target human settlement city can also be obtained, and blocks of land represented by city land codes and used for fire land are supplemented.

[0100] Step S200 specifically further includes:

[0101] In the location interest point data, location interest point data with type information as the second type information is obtained as emergency shelter facility point data, and the second type information represents a place suitable for earthquake emergency shelter.

[0102] The second type information may, for example, represent a place such as a school, a park, a square, and a parking lot that can be used for earthquake emergency shelter. In order to improve the accuracy of the extracted information, after the extraction is completed, useless data such as underground parking lots and training schools can be removed. Similar to the fire facility point, the emergency shelter facility point can also be supplemented according to the planning data of the target human settlement city.

[0103] Step S100 specifically further includes:

[0104] Obtain medical facility data of the target human settlement city, and the medical facility data includes location information, name information, property information, and level information of the medical facility.

[0105] The data can also be obtained from navigation map data, and data supplement can be performed according to the planning data.

[0106] Step S200 specifically further includes:

[0107] Based on the medical facility data, determine medical facility point data.

[0108] In this embodiment, the medical facility data can be directly used as the medical facility point data, or the qualifications and scale of the medical institutions in the medical facility data can be evaluated to determine appropriate medical institutions as medical facility points.

[0109] As described above, according to a plurality of different spatial data, the fire-fighting facility point data, the medical facility point data and the emergency shelter facility point data are determined, and the three types of facility point data are constructed into the urban spatial database, which can comprehensively reflect the anti-seismic capability of the target human settlement city. Of course, other required data can also be added to the urban spatial database, such as urban road traffic data, building data, etc. Hereinafter, the determination process of the spatial resilience is specifically described by taking the fire-fighting facility point data, the medical facility point data and the emergency shelter facility point data as examples. Of course, it can be understood that different facility points and combinations of facility points can be selected according to specific requirements to determine different spatial resilience, and the determination processes are similar, which will not be described here.

[0110] As shown in FIG. 3, in an embodiment, the step S300 specifically includes the following steps: Figure 2

[0111] S310, determining each block unit of the target human settlement city.

[0112] In this step, the block unit of the target human settlement city can be determined according to the division of administrative regions, for example, each block unit belongs to a street. Thus, it is convenient for the final statistics of each resilience index of each block unit and subsequent policy control.

[0113] S320, determining the robustness, redundancy, diversity and rapidity of each type of facility of each block unit according to the urban spatial database, wherein the diversity includes selection diversity and transfer diversity.

[0114] Hereinafter, each resilience index described above is specifically described.

[0115] Robustness

[0116] The robustness reflects the resistance of the system to risks and the maintenance ability of the system to its own functions and states. The spatial robustness of the urban disaster prevention facility system is not only affected by the scale and density of the facility system network itself, but also affected by the interaction between different nodes in the network. In the actual operation of the city, there are many associations between the single nodes (fire stations, hospitals or emergency shelters) of the disaster prevention system, and the degree of association is affected by the spatial network, such as mutual scheduling and joint rescue between fire stations, cooperation and exchange between hospitals and patient transfer, resource allocation and transfer of emergency shelters, etc.

[0117] ​Robustness is more important than other resilience indicators in urban resilience, and is the primary guarantee for a city when it faces the impact of disasters. For a city system, a poor robustness city system often shows its vulnerability when it suffers from disaster impact. According to the network characteristics of the three types of urban disaster prevention facility subsystems, the degree centrality of the node is used to characterize the capacity of the disaster prevention facility system, which reflects its robustness.

[0118] For the degree centrality of the three types of urban disaster prevention facility subsystems (fire, medical, and emergency shelter), the location of the facility point in space is different, and the status of the facility point in the network of its subsystem is also different. The degree centrality of the facility point reflects the importance of the facility point in its system network. The facility point that is closer to other facility points and can serve more demand points is more important in space.

[0119] The formula for calculating the degree centrality is:

[0120] CD (n i ) = d (n i )

[0121] Where C D (n i ) is the degree centrality, and d(n i ) is the number of facility points directly connected to other facility points.

[0122] Where, directly connected to other facility points, for example, the distance between two facility points is less than a predetermined distance, or two facility points have a cooperative relationship, for example, in medical facility points, two medical facility points that can conduct consultations, referrals, and medical cooperation between each other are determined as directly connected medical facility points, in fire facility points, two fire facility points that can jointly cooperate with each other are determined as directly connected fire facility points, and in emergency shelter facility points, two emergency shelter facility points that can transfer emergency shelter populations between each other are determined as directly connected emergency shelter facility points.

[0123] According to the degree centrality of each facility point in the street unit, the robustness of each facility point can be determined.

[0124] Redundancy

[0125] In order to avoid the vulnerability brought by the number of facilities just meeting the demand, the city must reserve the redundancy in infrastructure construction, which can be replaced, used in parallel and self-repaired. The greater the redundancy, the stronger the resilience, that is, the overlap of some facilities in the system can make up for the vulnerability of the city. For the city's fire-fighting facility system, city's medical facility system and city's emergency shelter facility system, the spatial redundancy of the disaster prevention facility system is reflected in the multiple choices of facilities in a certain range around the demand point. The spatial redundancy is embodied by the overlap of the range formed by the service radius of each facility point in the unit.

[0126] The calculation formula of redundancy is:

[0127] R ed i , j = Nb ( r )

[0128] Wherein, Redi,j is the spatial redundancy of the service facility system i in the block unit j, Nb(r) is the number of overlaps of the service range of the service facility system i in the block unit j, that is, the number of facility points of the service facility system i in the block unit j. The service facility system may be a medical facility system, and the corresponding facility point is a medical facility point. It can also be a fire-fighting facility system or an emergency shelter facility system, and the corresponding facility point is a fire-fighting facility point or an emergency shelter facility point. The service range of the facility point can be a circular range with the facility point as the center and the service radius corresponding to the facility point as the radius. The service radius of the facility point is related to the size of the facility point, and the larger the size, the larger the corresponding service radius. The area range with the time length less than the corresponding preset time length to the destination can be determined as the service range of the facility point, wherein the preset time length of the facility point is related to the size of the facility point, and the larger the size, the longer the corresponding preset time length.

[0129] Diversity

[0130] The concept of diversity comes from the field of ecology. In an ecological system, the stronger the diversity of species and habitats, the stronger the resistance of the ecological system to disturbance. The construction of city disaster prevention facilities in a distributed, decentralized or small parallel manner makes the city disaster prevention facilities have stronger disaster response ability and truly rich resilience. At the same time, diversity also has a positive impact on the rapid response of the city disaster prevention system in the event of a disaster. In this application, diversity includes selection diversity and transfer diversity.

[0131] Selection diversity

[0132] The number of alternative facility points is selected by measuring the demand points (city buildings) to represent the diversity of the city disaster prevention facility subsystem. The selection diversity reflects the diversity of the demand points to the facility points within a certain range.

[0133] The calculation formula of the selection diversity is:

[0134] ;

[0135] Wherein, Cij is the selection diversity of the service facility system i in the block unit j, n is the number of demand points (city buildings) contained in the block unit j, and cij is the number of alternative facility points of the nth demand point (city building). The service facility system may be a medical facility system, and the corresponding facility point is a medical facility point. It can also be a fire facility system or an emergency shelter facility system, and the corresponding facility point is a fire facility point or an emergency shelter facility point.

[0136] Transfer diversity

[0137] In various emergency rescue actions in the city, in addition to the case of directly sending the demander to the nearest facility point, there is also the case of transferring to other facility points due to the damage of the nearest facility point or the rescue capacity of the nearest facility point has reached the upper limit.

[0138] The calculation formula of the transfer diversity is:

[0139] ;

[0140] Wherein, Tij is the transfer diversity of the service facility system i in the block unit j, n is the number of demand points (city buildings) contained in the block unit j, and tij is the number of alternative facility points that the nth demander (city building) can transfer within a certain range. The service facility system may be a medical facility system, and the corresponding facility point is a medical facility point. It can also be a fire facility system or an emergency shelter facility system, and the corresponding facility point is a fire facility point or an emergency shelter facility point.

[0141] Speed

[0142] Rapidity is the speed of recovery of the city to the service level before the disaster after the disaster-affected facilities are impacted by taking command and rescue actions. In general, the recovery speed of the city after the disaster is affected by the sufficiency of the preparation of the city before the disaster, and also affected by the convenience of the space of the rescue after the disaster. The rapidity of the behaviors involved in the post-disaster recovery, such as the arrival of rescue forces, the medical transfer of the wounded, and the evacuation transfer of the survivors, can be quantitatively expressed by time. After the disaster, the city road is damaged, and the rapidity index of the spatial resilience is affected. The shorter the time for accessibility, the stronger the rapidity.

[0143] The specific calculation method of the accessibility is not limited, and in an embodiment, a weighted average travel time model based on the traffic network is adopted as follows:

[0144] ;

[0145] Wherein, Ha is the average accessibility of a facility point, n is the number of facility point OD (origin-destination), a is the number of the starting point, b is the number of the end point, and dab is the time used for the shortest path from the a-th facility point to the b-th end point. The accessibility in this embodiment is to calculate the time from the demand point to the facility point. The shorter the time for accessibility, the stronger the rapidity, and the greater the loss rescued by the rescue.

[0146] The calculation methods of the robustness, the redundancy, the selection diversity, the transfer diversity and the rapidity have been introduced in the foregoing, and the calculation process of the resilience index of each type of facility point will be further described based on the foregoing.

[0147] As shown in Figure 3 , in an embodiment, step S320 specifically includes:

[0148] S321, determining the fire facility robustness, the fire facility redundancy, the fire facility diversity and the fire facility rapidity of each block unit according to the fire facility point data, and the fire facility diversity includes the fire facility selection diversity and the fire facility transfer diversity.

[0149] The fire facility robustness of each block unit is determined by the following method:

[0150] Determine the centrality of each fire facility point in each block unit;

[0151] Determine the fire facility robustness of each block unit based on the centrality of each fire facility point in each block unit.

[0152] The fire facility redundancy of each block unit is determined by the following method:

[0153] determining service areas of each fire facility point;

[0154] determining fire facility redundancy of each block unit based on the number of fire facility points with overlapping service areas in each block unit.

[0155] The fire facility diversity of each block unit is determined by the following way:

[0156] determining the number of facility points each fire demand point in each block unit can choose, to determine the fire facility selection diversity of each block unit;

[0157] determining the number of facility points each fire demand point in each block unit can transfer within a preset range, to determine the fire facility transfer diversity of each block unit.

[0158] The fire facility rapidity of each block unit is determined by the following way:

[0159] determining the fire facility rapidity of each fire facility point based on the shortest travel time of each fire facility point to other fire facility points except the current fire facility point;

[0160] determining the fire facility rapidity of each block unit based on the fire facility rapidity of each fire facility point in each block unit.

[0161] Step S320 further includes:

[0162] S322, determining the medical facility robustness, medical facility redundancy, medical facility diversity and medical facility rapidity of each block unit according to the medical facility point data, the medical facility diversity including medical facility selection diversity and medical facility transfer diversity.

[0163] The medical facility robustness of each block unit is determined by the following way:

[0164] determining the centrality of each medical facility point in each block unit;

[0165] determining the medical facility robustness of each block unit based on the centrality of each medical facility point in each block unit.

[0166] The medical facility redundancy of each block unit is determined by the following way:

[0167] determining service areas of each medical facility point;

[0168] determining the medical facility redundancy of each block unit based on the number of medical facility points with overlapping service areas in each block unit.

[0169] The medical facility diversity of each block unit is determined by the following way:

[0170] determining the number of facility points that can be selected by each medical demand point in each block unit, and determining the medical facility selection diversity of each block unit;

[0171] determining the number of facility points that can be transferred by each medical demand point in each block unit within a preset range, and determining the medical facility transfer diversity of each block unit.

[0172] The medical facility rapidity of each block unit is determined in the following manner:

[0173] determining the medical facility rapidity of each medical facility point based on the shortest travel time of each medical facility point to other medical facility points except the medical facility point itself;

[0174] determining the medical facility rapidity of each block unit based on the medical facility rapidity of each medical facility point in the block unit.

[0175] Step S320 further includes:

[0176] S323, determining the emergency shelter facility robustness, emergency shelter facility redundancy, emergency shelter facility diversity, and emergency shelter facility rapidity of each block unit according to the emergency shelter facility point data, the emergency shelter facility diversity including emergency shelter facility selection diversity and emergency shelter facility transfer diversity.

[0177] The emergency shelter facility robustness of each block unit is determined in the following manner:

[0178] determining the centrality of each emergency shelter facility point in each block unit;

[0179] determining the emergency shelter facility robustness of each block unit based on the centrality of each emergency shelter facility point in the block unit.

[0180] The emergency shelter facility redundancy of each block unit is determined in the following manner:

[0181] determining the service area of each emergency shelter facility point;

[0182] determining the emergency shelter facility redundancy of each block unit based on the number of emergency shelter facility points in the block unit whose service areas overlap.

[0183] The emergency shelter facility diversity of each block unit is determined in the following manner:

[0184] determining the number of facility points that can be selected by each emergency shelter demand point in each block unit, and determining the emergency shelter facility selection diversity of each block unit;

[0185] Determine the number of relocatable facilities within the preset range for each emergency shelter demand point in each block unit, and determine the diversity of emergency shelter facility relocation in each block unit.

[0186] The speed of emergency refuge facilities in each block unit is determined in the following way:

[0187] Based on the shortest travel time between each emergency shelter facility and other emergency shelter facilities, the speed of emergency shelter facilities at each facility is determined.

[0188] The speed of emergency shelter facilities in each block unit is determined based on the speed of emergency shelter facilities at each emergency shelter facility location within each block unit.

[0189] After determining the robustness, redundancy, diversity, and speed of various types of facilities in each block unit, these properties can be used as indicators of multiple resilience indicators. The spatial resilience of the target city can then be determined based on the values ​​of these multiple resilience indicators.

[0190] Because the various indicators of the three types of disaster prevention facilities mentioned above are measured in different dimensions and units, the calculated results vary greatly. In order to eliminate the influence of different units on the indicators and avoid the influence of a few indicators on the results being too great and thus covering the influence of other indicators, it is necessary to normalize the data. The "Min-Max normalization" method is used to map the results to the range of [0, 1], so that the indicators are at the same order of magnitude and analyzed in the same dimension, making the data comparable and suitable for comprehensive comparative evaluation.

[0191] The normalization conversion formula is:

[0192] ;

[0193] In the formula, xmax is the maximum value of the sample data, and xmin is the minimum value of the sample data.

[0194] After normalizing all indicator values, the spatial resilience of various types of facilities in each block unit can be determined based on the normalized data. The spatial resilience of a certain type of facility in each block unit is determined by the following formula:

[0195] ;

[0196] in, R j represents the spatial resilience of the j-th block unit. xij For the standardized score of the i-th indicator in the j-th block unit, wiLet be the weight of the i-th indicator.

[0197] The spatial resilience of various types of facilities in each block unit can be determined using the above formula. The weights of each indicator can be set according to the actual situation, or the entropy weight method can be used to determine the weights of each indicator. This ensures a more balanced value after multiplying each indicator with its corresponding weight, preventing some indicator values ​​from differing too much from others, which could lead to the final spatial resilience result failing to comprehensively reflect all indicators.

[0198] Furthermore, the weights of each indicator can be adjusted based on the city's own attributes. In one embodiment, the weight of the indicator most correlated with the preferred attributes of the target livable city is increased, while the weights of other indicators are decreased. For example, when the city's attributes include transportation convenience, the weight of the speed indicator, which is most correlated with transportation convenience, can be increased, while the weights of other indicators are decreased to ensure that the total weight is 1, thereby further improving the accuracy of the final spatial resilience value. When decreasing the weights of other indicators, in one embodiment, the weight added to a certain indicator can be evenly distributed among the other indicators. In another embodiment, the weights of indicators with moderate correlation to the preferred attributes of the target livable city can be decreased less, while the weights of indicators with poor correlation to the preferred attributes of the target livable city can be decreased more, thus making the spatial resilience value more consistent with the city's own attributes. When adjusting the weights of each indicator based on the city's own attributes, the amount of weight increase can be determined according to the attribute level. For example, the higher the attribute level, the higher the weight increase, and the lower the attribute level, the lower the corresponding weight increase.

[0199] After determining the spatial resilience of various types of facilities in each block unit, the spatial resilience of the target city can be calculated using the following formula:

[0200] ;

[0201] Where Si is the overall score of the resilience index, Wi is the weight of index i, and xij' is the index value after data standardization, which can be the mean value of index i for all block units.

[0202] like Figure 4 As shown, step S400 specifically includes:

[0203] S410, normalize the fire facility robustness, fire facility redundancy, fire facility diversity and fire facility rapidity of each block unit, the medical facility robustness, medical facility redundancy, medical facility diversity and medical facility rapidity of each block unit, the emergency shelter facility robustness, emergency shelter facility redundancy, emergency shelter facility diversity and emergency shelter facility rapidity of each block unit.

[0204] S421, determine the fire facility spatial resilience of each block unit based on the normalized fire facility robustness, fire facility redundancy, fire facility diversity and fire facility rapidity of each block unit.

[0205] S422, determine the medical facility spatial resilience of each block unit based on the normalized medical facility robustness, medical facility redundancy, medical facility diversity and medical facility rapidity of each block unit.

[0206] S423, determine the emergency shelter facility spatial resilience of each block unit based on the normalized emergency shelter facility robustness, emergency shelter facility redundancy, emergency shelter facility diversity and emergency shelter facility rapidity of each block unit.

[0207] S430, determine the spatial resilience of the target human settlement city based on the fire facility spatial resilience of each block unit, the medical facility spatial resilience of each block unit and the emergency shelter facility spatial resilience of each block unit.

[0208] The above embodiments introduce the method for determining the spatial resilience of human settlement before disaster (for example, before earthquake). The spatial resilience of human settlement after disaster is also an important index for evaluating the resilience of city. The following specifically introduces the method for constructing the post-disaster scenario of target human settlement city and detecting the spatial resilience of post-disaster scenario.

[0209] In an embodiment, as shown in FIG. 10, the human settlement spatial resilience checking method provided by the embodiment further includes the following steps: Figure 5

[0210] S10, obtain the city road traffic data of the target human settlement city, and the city road traffic data includes the position information, length information, type information and road name of the road.

[0211] The city road traffic data can be obtained through data sources such as map data and navigation software data.

[0212] S20, obtain the building data of the target human settlement city, and the building data includes the position and size information of the building, and the size information includes length, width and height.

[0213] ​The building data can be obtained through navigation software data, satellite image data and other data sources. After extracting building data from multiple data sources, redundant data and invalid data can be deleted.

[0214] Of course, it can be understood that the urban road traffic data and the building data can also be pre-stored in the urban space database.

[0215] S30, based on the urban road traffic data and the building data, constructing a post-disaster scene.

[0216] S40, determining the post-disaster space resilience of the target human settlement city in the post-disaster scene.

[0217] In this embodiment, according to the urban road traffic data and the building data, the post-disaster scene of the target human settlement city is constructed, so that the post-disaster space resilience of the target human settlement city can be predicted according to the constructed post-disaster scene, and effective planning strategies can be proposed for the urban construction planning of the target human settlement city according to the predicted post-disaster space resilience, so as to improve the post-disaster space resilience of the target human settlement city.

[0218] As shown in Figure 6 , in an embodiment, step S30 specifically includes:

[0219] S31, based on the building data and the preset earthquake level, determining the buildings predicted to collapse in the building data.

[0220] For example, whether each building in the target human settlement city will collapse under the preset earthquake level can be determined according to the preset configuration information. The preset configuration information is used to represent the corresponding relationship between the building data under the preset earthquake level and whether to collapse, for example, the corresponding relationship between the building height under the preset earthquake level and whether to collapse. The height of each building in the building data can be queried in the preset configuration information to determine whether it will collapse. The preset configuration information can be in the form of a table, a mapping, etc.

[0221] In addition, the prediction model pre-trained can also be used to predict whether each building in the target human settlement city will collapse under the preset earthquake level.

[0222] The preset earthquake level can be set according to the needs.

[0223] S32, determining the influence area of each building predicted to collapse after collapse.

[0224] In an embodiment, the influence area after the building collapses can be determined according to the length, width and height of the building, for example, the length or equivalent length of the building is L, the width or equivalent width of the building is B, and the height of the building is H. Different height ranges correspond to different influence coefficients k. The corresponding relationship between the height H and the influence coefficient k can be set according to the actual scene. The higher the height, the greater the value of the influence coefficient k. The length of the influence area after the building collapses is (1+2k)L, and the width of the influence area after the building collapses is (1+2k)B, wherein the length of each end in the length direction is increased by kL on the basis of the original building, and the width of each end in the width direction is increased by kB on the basis of the original building.

[0225] In another embodiment, the parameter predicts the influence area after the building collapses. For example, the parameters of the building can include construction methods, materials, spatial structures, terrain, geology, collapse direction, etc. These parameters are used as input data of the prediction model. The prediction model extracts shallow features and / or deep features from the input data and predicts the influence area after the building collapses.

[0226] For example, the influence area after the building collapses can be represented by coordinates, such as GPS coordinates. Alternatively, longitude and latitude can also be used.

[0227] S33, based on each influence area, determine the interrupted road in the urban road traffic data and the interruption point in the interrupted road, and update the urban road traffic data.

[0228] For example, the road in the urban road traffic can be represented by trajectory coordinates. Then, whether the road intersects with the influence area after the building collapses is determined according to the trajectory coordinates of the road and the influence area after the building collapses. If they intersect, the road is interrupted, and the intersection point is the interruption point of the road. Each interrupted road can include one or more interruption points. Then, the interruption state of the road and the interruption point of the interrupted road can be introduced into the urban road traffic data to update the urban road traffic data.

[0229] S34, based on the updated urban road traffic data, update the urban spatial database.

[0230] S35, based on the updated urban spatial database, determine the index values of the multiple post-disaster resilience indicators of the target human settlement city.

[0231] In this step, the index values of the multiple post-disaster resilience indicators of the target human settlement city can be determined according to the updated urban spatial database and the calculation method in the above embodiments.

[0232] For example, when calculating the degree centrality, due to the interruption of some roads, two facility points that originally have a direct connection relationship become without a direct connection relationship, thereby reducing the degree centrality of some facility points and affecting the robustness.

[0233] For example, when calculating the redundancy, due to the interruption of some roads, the service range of some facility points is affected, and then the redundancy is affected.

[0234] In S36, the post-disaster spatial resilience of the target human settlement city is determined based on the index values of the plurality of post-disaster resilience indexes.

[0235] In this embodiment, whether a building collapses in an earthquake disaster and the affected area after the collapse can be predicted, and then the interruption state of the road can be predicted, and the post-disaster city road traffic state is updated, so that the post-disaster state of the city can be more accurately predicted, which helps to more accurately calculate the post-disaster spatial resilience of the target human settlement city.

[0236] In some embodiments, the method can further include determining a fire facility point adjustment strategy, a medical facility point adjustment strategy, an emergency shelter facility point adjustment strategy, and / or a road planning adjustment strategy based on the post-disaster spatial resilience of the target human settlement city.

[0237] In this embodiment, the post-disaster spatial resilience of the target human settlement city can be used as reference data to adjust various facilities and planning of the city, which helps to improve the resilience and rationality of the planning of the city.

[0238] For example, when the difference between the post-disaster spatial resilience and the spatial resilience is greater than a preset threshold, it indicates that the post-disaster spatial resilience has decreased more, and the post-disaster spatial resilience of the target human settlement city is poor, then the facility type with the largest difference between the post-disaster and pre-disaster is determined in the spatial resilience of each type of facility of each block unit, and then a branch road is added to the road of the block unit where the facility type with the largest difference is located to facilitate avoiding the interruption point. The city road traffic data with the added branch road is updated to the city spatial database, if the difference between the post-disaster spatial resilience and the spatial resilience calculated after the update is less than or equal to the preset threshold, the added branch road is determined as the road planning adjustment strategy, if the difference between the post-disaster spatial resilience and the spatial resilience calculated after the update is still greater than the preset threshold, a facility point of the corresponding setting type is added in the block unit according to the facility type with the largest difference between the post-disaster and pre-disaster determined before, and the added facility point is updated to the city spatial database, if the difference between the post-disaster spatial resilience and the spatial resilience calculated after the update is less than or equal to the preset threshold, the added facility point is determined as the facility point adjustment strategy, if the difference between the post-disaster spatial resilience and the spatial resilience calculated after the update is still greater than the preset threshold, the facility type with the largest difference between the post-disaster and pre-disaster is determined again in the spatial resilience of each type of facility of each block unit, and the above steps are continued until the difference between the post-disaster spatial resilience and the spatial resilience calculated after the update is less than or equal to the preset threshold.

[0239] In addition, the division of the block unit in step S310 is usually performed according to an administrative region, and the subsequent space resilience calculation is performed in units of the block unit, and this division method may not be reasonable for the living space resilience, and therefore, when the difference between the post-disaster space resilience and the space resilience is greater than a preset threshold, the target human settlement city can be divided into regions based on the facility points, for example, the target human settlement city can be divided into regions such that the number of each type of facility point in each regional unit is the same, and it is assumed that each same type of setting in the regional unit has a direct connection relationship, on the basis of the regional division, the post-disaster space resilience and the space resilience are recalculated, if the difference between the recalculated post-disaster space resilience and the space resilience is less than the preset threshold, each block unit located in the same regional unit is taken as a disaster prevention associated block, an association suggestion is sent to the disaster prevention associated block, and it is suggested that each same type of facility point of the disaster prevention associated block establishes a direct connection relationship. For another example, when the target human settlement city is divided into regions, the target human settlement city can be divided into regions such that the difference between the total function scores of each type of facility point in each regional unit is less than a preset difference, the function score refers to the score of the functionality of the facility point, for example, for a medical facility point, the medical facility point can be scored according to the size, internal facilities, hospital level, etc. of the medical facility point, for a fire-fighting facility point, the fire-fighting facility point can be scored according to the size, internal facilities, etc. of the fire-fighting facility point, for an emergency shelter facility point, the emergency shelter facility point can be scored according to the area, number of escape exits, etc. of the emergency shelter facility point, after the regional division is completed, the difference between the total scores of the fire-fighting facility points in each regional unit is less than a first preset difference, the difference between the total scores of the medical facility points in each regional unit is less than a second preset difference, and the difference between the total scores of the emergency shelter facility points in each regional unit is less than a third preset difference, in this way, the division of the regions can be more reasonable.

[0240] Those skilled in the art will readily understand that the above preferred embodiments can be freely combined and superimposed without conflict.

[0241] The above description is only preferred embodiments of the present application and is not intended to limit the present application. Those skilled in the art can make various modifications and changes to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for detecting the resilience of a human habitat, characterized in that, The method comprises the following steps: Obtain multiple different spatial data of the target human settlement city; Process the multiple different spatial data, and construct a city spatial database based on the processed data; Determine the index values of multiple resilience indicators of the target human settlement city based on the city spatial database; Determine the spatial resilience of the target human settlement city based on the index values of the multiple resilience indicators; The method further comprises the following steps: Obtain city road traffic data of the target human settlement city, the city road traffic data comprising position information, length information, type information, and road name of the road; Obtain building data of the target human settlement city, the building data comprising position and size information of the building, the size information comprising length, width, and height; Determine buildings predicted to collapse in the building data based on the building data and a preset earthquake level; Determine the influence area after the collapse of each building predicted to collapse; Determine the interrupted road in the city road traffic data and the interruption point in the interrupted road based on each influence area, thereby updating the city road traffic data; Update the city spatial database based on the updated city road traffic data; Determine the index values of multiple post-disaster resilience indicators of the target human settlement city based on the updated city spatial database; Determine the post-disaster spatial resilience of the target human settlement city based on the index values of the multiple post-disaster resilience indicators; The multiple resilience indicators comprise robustness, redundancy, diversity, and rapidity of each block unit of the target human settlement city, the robustness is determined by the degree centrality of each facility point in the block unit, the calculation formula of the degree centrality of each facility point in the block unit is: C D (n i ) = d (n i ) wherein C D (n i ) is the degree centrality, d(n i ) is the number of directly connected facility points of a certain facility point within the block unit to other facility points. The calculation formula of the redundancy of the block unit is: R ed i,j = Nb ( r ) where Red i,j is the spatial redundancy of service facility system i in block unit j, and Nb(r) is the number of overlaps of service range of service facility system i in block unit j. The diversity comprises selection diversity and transfer diversity, the calculation formula of the selection diversity of the block unit is: ； where C ij is the selection diversity of a certain service facility system i in a block unit j, n is the number of demand points contained in the block unit j, c ij is the number of facility points of a certain type that the nth demand point can select. The calculation formula of the transfer diversity of the block unit is: ； where T ij is the transfer diversity of a service facility system i in a block unit j, n is the number of demand points contained in the block unit j, t ij is the number of facility points in a certain range that the nth demand point can transfer through the selectable facility points of a certain type. The rapidity is represented by average accessibility, the calculation formula of the average accessibility H of the block unit is: ； where H a is the average accessibility of a certain facility point, m is the number of facility points, a is the number of the starting point, b is the number of the end point, d ab is the time used for the shortest path from the a-th facility point to the b-th end point, b is not equal to a. 2.The human habitat resilience detection method of claim 1, wherein, The obtaining of the multiple different spatial data of the target human settlement city comprises obtaining location interest point data of the target human settlement city, the location interest point data comprising name information, type information, and position information of the location interest point; the processing of the multiple different spatial data comprises obtaining, in the location interest point data, the location interest point data with type information as first type information as fire facility point data, the first type information being fire-related information; obtaining, in the location interest point data, the location interest point data with type information as second type information as emergency shelter facility point data, the second type information representing that the place is suitable for emergency shelter in an earthquake; The obtaining of the multiple different spatial data of the target human settlement city comprises obtaining medical facility data of the target human settlement city, the medical facility data comprising position information, name information, property information, and level information of the medical facility; The processing of the plurality of different spatial data comprises: determining the medical facility point data based on the medical facility data; The constructing of the urban spatial database based on the processed data comprises: constructing the urban spatial database based on the fire-fighting facility point data, the medical facility point data, and the emergency shelter facility point data. 3.The human habitat resilience detection method of claim 2, wherein, Based on the urban spatial database, determining the index values of a plurality of resilience indicators of the target human settlement city comprises: determining each street unit of the target human settlement city; determining the fire-fighting facility robustness, the fire-fighting facility redundancy, the fire-fighting facility diversity, and the fire-fighting facility rapidity of each street unit according to the fire-fighting facility point data, wherein the fire-fighting facility diversity comprises fire-fighting facility selection diversity and fire-fighting facility transfer diversity; determining the medical facility robustness, the medical facility redundancy, the medical facility diversity, and the medical facility rapidity of each street unit according to the medical facility point data, wherein the medical facility diversity comprises medical facility selection diversity and medical facility transfer diversity; determining the emergency shelter facility robustness, the emergency shelter facility redundancy, the emergency shelter facility diversity, and the emergency shelter facility rapidity of each street unit according to the emergency shelter facility point data, wherein the emergency shelter facility diversity comprises emergency shelter facility selection diversity and emergency shelter facility transfer diversity. 4.The human habitat resilience detection method of claim 3, wherein, The determining of the fire-fighting facility robustness, the fire-fighting facility redundancy, the fire-fighting facility diversity, and the fire-fighting facility rapidity of each street unit according to the fire-fighting facility point data comprises: determining the centrality of each fire-fighting facility point in each street unit; determining the fire-fighting facility robustness of each street unit based on the centrality of each fire-fighting facility point in the street unit; determining the service area of each fire-fighting facility point; determining the fire-fighting facility redundancy of each street unit based on the number of fire-fighting facility points with overlapping service areas in the street unit; determining the fire-fighting facility selection diversity of each street unit by determining the number of facility points selectable by each fire demand point in the street unit; determining the fire-fighting facility transfer diversity of each street unit by determining the number of facility points transferable by each fire demand point within a preset range in the street unit; determining the fire-fighting facility rapidity of each fire-fighting facility point based on the shortest travel time of the fire-fighting facility point to each fire-fighting facility point other than the fire-fighting facility point itself; determining the fire-fighting facility rapidity of each street unit based on the fire-fighting facility rapidity of each fire-fighting facility point in the street unit. 5.The human habitat resilience detection method of claim 3, wherein, The determining of the medical facility robustness, the medical facility redundancy, the medical facility diversity, and the medical facility rapidity of each street unit according to the medical facility point data comprises: determining the centrality of each medical facility point in each street unit; determining the medical facility robustness of each street unit based on the centrality of each medical facility point in the street unit; determining the service area of each medical facility point; determine the medical facility redundancy of each of the block units based on the number of the medical facility points in each of the block units that have overlapping service areas; determine the medical facility selection diversity of each of the block units based on the number of the facility points that each of the medical demand points in each of the block units can select; determine the medical facility transfer diversity of each of the block units based on the number of the facility points that each of the medical demand points in each of the block units can transfer within a preset range; determine the medical facility rapidity of each of the medical facility points based on the shortest travel time of each of the medical facility points to other medical facility points except the current medical facility point; determine the medical facility rapidity of each of the block units based on the medical facility rapidity of each of the medical facility points in each of the block units. 6.The human habitat resilience detection method of claim 3, wherein, The determination of the emergency shelter facility robustness, the emergency shelter facility redundancy, the emergency shelter facility diversity, and the emergency shelter facility rapidity of each of the block units according to the emergency shelter facility point data comprises: determine the centrality of each of the emergency shelter facility points in each of the block units; determine the emergency shelter facility robustness of each of the block units based on the centrality of each of the emergency shelter facility points in each of the block units; determine the service area of each of the emergency shelter facility points; determine the emergency shelter facility redundancy of each of the block units based on the number of the emergency shelter facility points in each of the block units that have overlapping service areas; determine the emergency shelter facility selection diversity of each of the block units based on the number of the facility points that each of the emergency shelter demand points in each of the block units can select; determine the emergency shelter facility transfer diversity of each of the block units based on the number of the facility points that each of the emergency shelter demand points in each of the block units can transfer within a preset range; determine the emergency shelter facility rapidity of each of the emergency shelter facility points based on the shortest travel time of each of the emergency shelter facility points to other emergency shelter facility points except the current emergency shelter facility point; determine the emergency shelter facility rapidity of each of the block units based on the emergency shelter facility rapidity of each of the emergency shelter facility points in each of the block units. 7.The human habitat resilience detection method of claim 3, wherein, The determination of the spatial resilience of the target human settlement city based on the index values of the plurality of resilience indexes comprises: normalization processing of the fire facility robustness, the fire facility redundancy, the fire facility diversity, and the fire facility rapidity of each of the block units, the medical facility robustness, the medical facility redundancy, the medical facility diversity, and the medical facility rapidity of each of the block units, and the emergency shelter facility robustness, the emergency shelter facility redundancy, the emergency shelter facility diversity, and the emergency shelter facility rapidity of each of the block units; determine the fire facility spatial resilience of each of the block units based on the normalized fire facility robustness, the fire facility redundancy, the fire facility diversity, and the fire facility rapidity of each of the block units; determine the medical facility space resilience of each of the block units based on the normalized medical facility robustness, the normalized medical facility redundancy, the normalized medical facility diversity, and the normalized medical facility rapidity of each of the block units; determine the emergency shelter facility space resilience of each of the block units based on the normalized emergency shelter facility robustness, the normalized emergency shelter facility redundancy, the normalized emergency shelter facility diversity, and the normalized emergency shelter facility rapidity of each of the block units; determine the space resilience of the target human settlement city based on the fire facility space resilience of each of the block units, the medical facility space resilience of each of the block units, and the emergency shelter facility space resilience of each of the block units. 8.The human habitat resilience detection method of claim 1, wherein, The method further comprises: determining a fire facility point adjustment strategy, a medical facility point adjustment strategy, an emergency shelter facility point adjustment strategy, and / or a road planning adjustment strategy based on the post-disaster space resilience of the target human settlement city.

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