Route analysis device

Abstract

To provide a route analysis device that evaluates routes in a specified area based on a user's lifestyle information and information about routes in the specified area. [Solution] The route analysis device 2500 includes a route analysis information output means 2101 that outputs route analysis information 2307 indicating the analysis results of the specified route based on route information 2301 regarding a specified route included in a specified area and specified lifestyle information 2303 including at least information related to people's lives, taking into consideration the relationship between the route information 2301 and the specified lifestyle information 2303.

Description

[Technical field]

[0001] The present invention relates to a route analysis device that outputs route analysis information. [Background technology]

[0002] A system has been proposed that analyzes the correlation between potential transportation routes and their introduction effects by searching a wide design space (Patent Document 1). Also, a system has been proposed that analyzes and evaluates route bus operations based on data extracted from actual customer movement trajectories (Patent Document 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2019-046021 [Patent Document 2] Patent No. 5852721 Summary of the Invention [Problem to be solved by the invention]

[0004] However, no mechanism has been proposed to evaluate routes in a given area based on users' lifestyle information.

[0005] The present invention has been made to solve the problems described above, and its object is to provide a route analysis device that evaluates routes in a specified area based on a user's lifestyle information and information about the routes in the specified area. [Means for solving the problem]

[0006] In order to achieve the above-mentioned objective, the route analysis device of the present invention is equipped with a route analysis information output means that outputs route analysis information indicating the analysis results of the specified route based on route information regarding a specified route included in a specified area and specified lifestyle information including at least information related to people's lives, taking into consideration the relationship between the route information and the specified lifestyle information. Effect of the Invention

[0007] According to the present invention, it is possible to provide a route analysis device that evaluates routes in a specified area based on lifestyle information of a user and information related to routes in the specified area. [Brief description of the drawings]

[0008] [Figure 1] FIG. 2 is a functional block diagram showing an overview of a route analysis device. [Diagram 2] FIG. 4 is a diagram showing a flow of processing of a route analysis device. [Diagram 3] This is a diagram showing routes and the population around the routes. [Figure 4] FIG. 13 is a diagram showing the cumulative route elevation climb. [Diagram 5] FIG. 1 is a diagram showing the population of a route area. [Figure 6] FIG. 1 is a diagram showing the elderly population in the route area. [Figure 7] This is a diagram showing the population in 500m mesh. [Figure 8] This is a diagram showing the population in 62.5m mesh. [Figure 9] This shows the commuter population distribution on a 62.5m mesh. [Figure 10] This figure shows the flow of people within 150 m of a bus stop. [Figure 11] This is a graph showing the number of people commuting to work in a 62.5m mesh around a bus stop. [Figure 12] FIG. 13 is a diagram showing the livability scores along bus routes. [Figure 13] FIG. 2 is a diagram showing the layout of towns along the route. [Figure 14] FIG. [Figure 15] FIG. 1 is a diagram showing an overview of a people flow distribution estimation algorithm. [Figure 16] FIG. 13 is a diagram illustrating an example of an output of a people flow distribution estimation algorithm. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, a route analysis device 2500 according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing an outline of the route analysis device 2500. The route analysis device 2500 includes a calculation device 2100 and a storage device 2300. The calculation device 2100 includes a route analysis information output means 2101 and a map output means 2103. The storage device 2300 stores route information 2301, lifestyle information 2303, demographic information 2305, and route analysis information 2307. The route analysis device 2500 may be configured as a server.

[0010] The route analysis device 2500 of this embodiment includes a route analysis information output means 2101 that outputs route analysis information 2307 indicating an analysis result of the specified route based on route information 2301 regarding a specified route included in a specified area and specified lifestyle information 2303 including at least information related to people's lives, taking into consideration the relationship between the route information 2301 and the specified lifestyle information 2303.

[0011] A prescribed route included in a prescribed region refers to, for example, a route related to roads, railways, buses (for example, each system of Osaka City Bus), airports, etc. The route may be a land route, an air route, or a water route. Route information refers to, for example, route location information, transportation (railway, bus, etc.) timetable information, road width information, distance and elevation difference between bus stops, etc. Prescribed life information refers to, for example, life information by region, age and sex, and 15-minute unit. The relationship between route information and prescribed life information refers to, for example, (1) the walking distance of a 70-year-old resident is narrower than that of a 20-year-old resident, so the judgment of whether or not they can walk to a bus stop differs, and the population along the route differs depending on the life information during times other than commuting and school commuting, and (2) fuel efficiency differs depending on the elevation difference between bus stops, and the "operation cost" differs. When calculating the operation cost, an analysis of GHG (Green House Gas) emissions related to travel can also be performed. Route analysis information refers to, for example, individual analyses that take into account differences in the walking distance from bus stops for people in their 20s and people in their 70s.

[0012] The route analysis device 2500 of this embodiment outputs route analysis information by taking into consideration route information, lifestyle information, and the relationship between them. Therefore, it is possible to devise a transportation facility development plan or a development plan for the area along the route based on the route analysis information 2307 that reflects the lifestyle information 2303.

[0013] (Estimated population along the line) The route analysis information output means 2101 can estimate the population along a specified route based on the specified lifestyle information 2303 and output route analysis information 2307. By estimating the population along a route based on the lifestyle information 2303 and outputting the route analysis information 2307, more accurate route analysis information can be output. For example, the walking distance of residents in their 70s is narrower than that of residents in their 20s. Therefore, residents in their 20s and residents in their 70s judge whether they can walk to a bus stop differently. The route analysis information output means 2101 can accurately estimate the population along a route for each age group and reflect it in the route analysis.

[0014] (Estimated route operating costs) The route analysis information output means 2101 can estimate the operating cost of a given route based on the route information 2301 and output route analysis information 2307. By estimating the operating cost based on the route information 2301, for example, it is possible to estimate the difference in "operating cost" such as fuel consumption based on the difference in altitude between bus stops and reflect it in the route analysis. This makes it possible to further carry out an analysis of GHG emissions related to travel.

[0015] (Output in mesh units) The route analysis information output means 2101 can aggregate route information 2301 and predetermined life information 2303 for each specific area (for example, 62.5 m mesh) and output route analysis information 2307. By outputting route analysis information 2307 for each specific area, for example, it is possible to estimate accurate route analysis information 2307 for each area (62.5 m mesh) in which a person can move in one minute. Therefore, even if the formats of route information 2301 and predetermined life information 2303 are not unified, route analysis can be performed in a unified format.

[0016] (Analysis by time period (morning / evening and daytime) (analysis of changes in getting on and off depending on the purpose of commuting to work / school, shopping, hospital, etc.)) The route analysis information output means 2101 can further output route analysis information 2307 based on predetermined demographic information 2305 including at least information on the number of people present in a predetermined area at a predetermined time. A predetermined time (a time) is, for example, in units of 1 hour. A predetermined area (a region) is, for example, in units of 500 m mesh. Demographic information is, for example, DoCoMo's mobile spatial statistics information. By outputting the route analysis information 2307 based on the predetermined demographic information 2305, detailed route analysis can be performed by time period, purpose, etc.

[0017] (Map output) The route analysis device 2500 may further include a map output means 2103 that outputs the route analysis information 2307 on a map in association with a location. By including the map output means 2103, the route analysis information can be easily understood by associating it with a location on the map.

[0018] (Time series analysis) The route analysis information output means 2101 outputs route analysis information 2307 at multiple times based on predetermined demographic information 2305 at multiple predetermined times included in a predetermined period. By outputting route analysis information 2307 at multiple times, it is possible to perform a time series analysis for a predetermined period.

[0019] (Past / future simulation) The route analysis information output means 2101 can output route analysis information 2307 based on predetermined route information 2301 set in the past or future. This makes it possible to simulate route analysis information 2307 in the past or future.

[0020] (Processing flow) An overview of the processing of the route analysis device 2500 will be described with reference to FIG. (S301) S301 is a step of acquiring route information 2301. The route information 2301 is acquired from a map data DB, and information related to route maps and timetables of each transportation facility. In S301, the route information 2301 can be changed or new information can be input. For example, the layout of an existing route can be changed, or new stations or stops can be established.

[0021] (S302) S302 is a step of acquiring lifestyle information 2303. The lifestyle information 2303 can be acquired from the Basic Survey on Social Life DB.

[0022] (S303) S303 is a step of acquiring demographic information 2305. The demographic information 2305 can be acquired from mobile spatial statistical information or the like.

[0023] (S304) S304 is a step for creating route analysis information 2307 based on the information acquired up to S303.

[0024] (S305) S305 is a step of outputting the created route analysis information 2307. The output of the route analysis information 2307 can be performed in various forms, including output of route analysis information 2307 for a specific area (such as a 62.5 m mesh), output of route analysis information 2307 at multiple times, and output of route analysis information 2307 based on past or future route information.

[0025] (S306) The created route analysis information 2307 can be output as a map. S306 is a step of outputting the route analysis information 2307 onto a map. The process flow ends when the route analysis information 2307 is output in S305 and S306.

[0026] (Example of route analysis) An example of route analysis using the route analysis device 2500 will be described with reference to Figs. 3 to 14. (Bus stops and surrounding population) Figure 3 is a diagram showing routes and the population around the route. Bus route L1 shown in Figure 3 is the subject of analysis in the following explanation. The circles included in bus route L1 indicate bus stops. The numbers inside the circles indicate the bus stop numbers.

[0027] Bus stops can be classified according to whether or not transfers are possible. Bus stop 1 and bus stop 19 are bus stops where transfers to trains and buses are possible. Bus stop 2, bus stop 7, bus stops 10 to 18, and bus stop 20 are bus stops where transfers to other buses are possible. Bus stop 3 is a bus stop where transfers to trains are possible. Bus stops 4 to 6, and bus stops 8 to 9 are bus stops where there is no transferable transportation. Generally, bus stops where transfers are possible have more passengers getting on and off. Also, generally, among bus stops where transfers are possible, bus stops where transfers to trains have more passengers getting on and off than bus stops where transfers to buses are possible.

[0028] In addition, as shown in the three graphs indicated by the arrow G1, it is preferable to grasp the number of households within a certain range from each bus stop, the total population, the gender ratio, and the age-specific population within each gender for each bus stop. Arrow G1 shows an example of the population for one bus stop.

[0029] (Cumulative route elevation climb) FIG. 4 is a diagram showing the cumulative route elevation climb. As shown in FIG. 4, the route does not only pass through flat land. The land through which the route passes also has slopes. On an uphill road, the fuel consumption rate is lower than on flat land. Therefore, the travel cost per unit distance increases. When performing route analysis, it is preferable to understand the change in elevation of the land through which the route passes.

[0030] (Population of route area) Figure 5 shows the population distribution in the route area. When conducting route analysis, it is preferable to understand the population distribution around the route, as this affects the number of passengers getting on and off. In addition, when understanding the population distribution, it is also preferable to understand the ease of access to the bus stop, such as the distance from the bus stop and how easy it is to walk to the bus stop. This is because the proportion of people living in the area who use the bus stop will differ depending on the ease of access to the bus stop.

[0031] (Elderly population in the route area) FIG. 6 is a diagram showing the distribution of the elderly population in a route area. When grasping the population of a route area, it is important to grasp, for example, the elderly population. This is because the bus usage rate among the elderly is higher than that among young people. In addition, the bus usage rate is higher among high school and university students than, for example, junior high school students. In this way, when grasping the population of a route area, a more accurate route analysis can be performed by grasping the population with a higher bus usage rate, such as the elderly population.

[0032] (Mesh population) The size of each area (mesh size) when grasping the population of the line area will be explained. FIG. 7 is a diagram showing the population of a 500m mesh. FIG. 8 is a diagram showing the population of a 62.5m mesh. As shown in FIG. 7, in the 500m mesh, it is not possible to determine whether there are more people on the north or south side of a large station (Osaka Station ST). The only information that can be obtained from the 500m mesh is how many people are in a 500m square. In contrast, as shown in FIG. 8, in the 62.5m mesh, it is possible to determine that there are many people on the east side and south direction of Osaka Station ST. In this way, by grasping the population in the 62.5m mesh area instead of the 500m mesh, a more accurate line analysis can be performed.

[0033] (Mesh commuter population distribution) Figure 9 shows the commuter population distribution in a 62.5m mesh. By visualizing how many people commute to work in each area based on the estimated number of people moving about, this can be used to evaluate the location of transfer locations and their convenience. Examples of calculating classified mesh population distribution instead of total population are not limited to commuter population. It is possible to calculate population distribution in various categories, such as school-going population and daytime shopping population. This allows for more accurate route analysis.

[0034] (People flow within 150m of the bus stop) Figure 10 shows the flow of people within 150 m of a bus stop. For route analysis, in addition to the population distribution of people belonging to a specific category shown in Figure 9, it is also useful to visualize the flow of people within a specific distance from a bus stop. Information on the flow of people within a specific distance from a bus stop is particularly useful when considering the consolidation, closure, or establishment of a new bus stop.

[0035] (Graph of the number of people commuting around a bus stop in a 62.5m mesh) Figure 11 is a graph showing the number of "commuters" around a bus stop in a 62.5m mesh. The graph in Figure 11 shows the number of people around the bus stop for 24 hours from 12:00 on one day to 12:00 on the next day. From Figure 11, it is possible to determine at what time of day there are many "commuters" around the bus stop. In the example shown in Figure 11, it can be seen that there are "commuters" around the bus stop from around 8:00 in the morning to around 10:00 at night. It can also be seen that the number of "commuters" drops at around 12:00 noon between 8:00 in the morning and around 10:00 at night. By referring to data on the change in the number of people over time, such as that shown in Figure 11, it is possible to consider the number of services by time in route analysis.

[0036] (Surrounding area of ​​bus route) 12 to 14 are diagrams showing the conditions around the bus route L1. FIG. 12 shows the livability scores along the bus route. FIG. 13 shows the city layout along the route. FIG. 14 shows the bus route elevation. Data obtained by superimposing the livability shown in FIG. 12 or the city layout shown in FIG. 13 on the bus route L1 to visualize the livability is useful information when, for example, changing the route and changing the location of the bus stop in route analysis. Also, data obtained by superimposing the land elevation shown in FIG. 14 on the bus route L1 to visualize the livability is useful information when, for example, changing the route with lower fuel costs and changing the location of the bus stop in route analysis to consider the impact on bus users.

[0037] (People flow distribution estimation algorithm) An overview of the people flow distribution estimation algorithm will be described with reference to Fig. 15. Fig. 15 is a diagram showing an overview of the people flow distribution estimation algorithm. (S200) In S200, the arithmetic device 2100 acquires spatial statistical data via a network. To acquire the spatial statistical data, it is possible to use "Mobile Spatial Statistics (registered trademark)" provided by NTT DoCoMo. The spatial statistical data is, for example, data on the number of people by age and sex in a predetermined time unit (for example, 1 hour) within a mesh of a predetermined width (for example, 500 m square).

[0038] (S210) In S210, for a "prescribed area," based on spatial statistical data, people (whose age and gender are obtained from the spatial statistical data) who are in a specific area (for example, the Umeda area of ​​Osaka) during a specific time period (for example, a specific hour) are classified into states (behavioral classification information) such as work and movement (for example, commuting) for more detailed time periods (for example, 15 minutes) within this specific time period by referring to the Basic Survey of Social Life and Leisure Activities database, and the number of people in each classification (attributes of age and gender) is estimated.

[0039] (S220) In S220, based on the estimated number of people (age and gender attributes) for each behavioral category, the number of people working (age and gender attributes) by occupation type for every 15 minutes in the above specific area is estimated, for example, based on the Ministry of Internal Affairs and Communications Labor Force Survey database.

[0040] (S230, S240) In S230, the estimated number of employees (age and gender attributes) by job type for every 15 minutes is expanded (for example, proportionally apportioned) to each building (facility) based on the total floor area of ​​the facilities and buildings on the map and the area allocated to the job type of each facility and building, and aggregated data of the number of people in a mesh (for example, 62.5 m mesh) smaller than the unit mesh of the spatial statistical data is estimated. The chart output means or the like may output this as a chart showing the ratio by number of people (output A). Furthermore, the map output means 2103 may output this on a map by associating the ratio by number of people with the location (output B). FIG. 16(a) shows an example of output A. FIG. 16(b) shows an example of output B.

[0041] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope that can achieve the object of the present invention are included in the present invention.

[0042] Also, for example, the above-mentioned series of processes can be executed by hardware or software. In other words, the above-mentioned functional configuration is merely an example and is not particularly limited. That is, it is sufficient that the information processing system is provided with a function capable of executing the above-mentioned series of processes as a whole, and the type of functional block to be used to realize this function is not particularly limited. In addition, the location of the functional block and the database is not particularly limited and may be arbitrary. For example, at least a part of the functional block and the database required for executing various processes may be transferred to a user terminal or the like. Conversely, the functional block and the database of the user terminal may be transferred to a server or the like. In addition, one functional block may be configured by a single piece of hardware, a single piece of software, or a combination thereof.

[0043] When a series of processes is executed by software, a program constituting the software is installed in a computer or the like from a network or a recording medium. The computer may be a computer built into dedicated hardware. The computer may also be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0044] A recording medium containing such a program may be composed not only of a removable medium (not shown) that is distributed separately from the device main body in order to provide the program to a user, etc., but also of a recording medium that is provided to a user, etc. in a state where it is pre-installed in the device main body.

[0045] In this specification, the steps describing the program recorded on the recording medium include not only processes performed in chronological order, but also processes that are not necessarily performed in chronological order but are performed in parallel or individually. In addition, in this specification, the term "system" refers to an overall device composed of multiple devices, multiple means, etc.

[0046] The embodiments disclosed herein are merely examples of configurations for specifically implementing the present invention, and do not limit the technical scope of the present invention. The technical scope of the present invention is indicated by the claims, not by the description of the embodiments, and is intended to include modifications within the literal scope of the claims and the scope of equivalent meanings.

[0047] (1) route information for a given route included in a given area; Based on predetermined life information including at least information related to a person's life, A route analysis device comprising a route analysis information output means for outputting route analysis information indicating an analysis result of the specified route, taking into consideration a relationship between the route information and the specified lifestyle information. (2) The route analysis device according to (1), wherein the route analysis information output means estimates the population along the specified route based on the specified lifestyle information and outputs the route analysis information. (3) The route analysis device according to (1) or (2), wherein the route analysis information output means estimates the operating costs of the specified route based on the route information and outputs the route analysis information. (4) A route analysis device described in any one of (1) to (3), wherein the route analysis information output means aggregates the route information and the specified lifestyle information for each specific area and outputs the route analysis information. (5) A route analysis device described in any one of (1) to (4), wherein the route analysis information output means further outputs the route analysis information based on specified demographic information including at least information on the number of people located in the specified area at a specified time. (6) The route analysis device according to any one of (1) to (5), further comprising a map output means for outputting the route analysis information on a map in association with a location. (7) A route analysis device described in any one of (1) to (6), wherein the route analysis information output means outputs the route analysis information at the multiple specified times based on the specified demographic information at the multiple specified times included in a specified period. (8) A route analysis device according to any one of (1) to (7), wherein the route analysis information output means outputs the route analysis information based on predetermined route information set in the past or future. [Explanation of symbols]

[0048] 2101 Route analysis information output means 2301 Route Information 2303 Lifestyle Information 2307 Route analysis information 2500 Route analysis device

Claims

1. A route analysis device for outputting route analysis information indicating an analysis result of a specified route, comprising: The area to be analyzed is the analysis area; A storage device is provided, The storage device includes: When a predetermined area divided into meshes is defined as an area mesh, predetermined demographic information including information on the number of people present in each of a plurality of predetermined first area meshes in a time series of a series of first time periods for the analysis target area; Route information regarding a predetermined route included in a predetermined area; and lifestyle information indicating a classification of human behavior for each second time period shorter than the first time period for the analysis target area; The system further includes a calculation device that evaluates at least people flow information on the route to be analyzed, The computing device includes: a route analysis information output means for outputting route analysis information indicating an analysis result of the predetermined route, Based on the demographic information and the lifestyle information, a number of people for each classification of human behavior present in the first mesh area included in the analysis target area is estimated for each of the second time periods; Based on the estimation result and the area of ​​the facility corresponding to the classification of the human behavior within the first mesh area, the estimated number of people is distributed to the facility, thereby estimating aggregate data for each second mesh area that is finer than the first mesh area; Estimating the population along the line by age and time period based on the line information and the lifestyle information; Reflecting the estimated population in the analysis of the route, The route analysis information output means outputs route information based on aggregated data for each of the second area meshes in the specific area at a predetermined time specified by the second time period, which is a route analysis device.

2. The route analysis device according to claim 1 , wherein the route analysis information output means estimates an operating cost of the predetermined route based on the route information and outputs the route analysis information.

3. The route analysis device according to claim 1 , wherein the route analysis information output means outputs the route analysis information by collating the route information and the predetermined lifestyle information for each specific area.

4. 2. The route analysis device according to claim 1, wherein the route analysis information output means further outputs the route analysis information based on predetermined demographic information including at least information on the number of people present in the predetermined area at a predetermined time.

5. The route analysis device according to claim 1 , further comprising a map output means for outputting the route analysis information on a map in association with a location.

6. 2. The route analysis device according to claim 1, wherein the route analysis information output means outputs the route analysis information at a plurality of times based on predetermined demographic information at a plurality of predetermined times included in a predetermined period.

7. The route analysis device according to claim 1 , wherein the route analysis information output means outputs the route analysis information based on past or future route information.

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