Pension real estate project site selection method based on public transportation and population spatial and temporal distribution

Abstract

The invention discloses an old-age care real estate project site selection method based on public transport and spatial and temporal population distribution, and relates to the technical field of urban planning. According to the old-age care real estate project site selection method based on the public transportation and the spatial and temporal population distribution, data are processed, a comprehensive evaluation model is established to score and sort various geographic position projects in a region, and at the moment, the processed data are introduced into the comprehensive evaluation model, so that the site selection of the old-age care real estate project is realized. According to the method, public traffic conditions, population distribution conditions and geographic information conditions corresponding to various geographic positions are evaluated, then various evaluation conditions of each geographic position are combined to calculate a corresponding score, data analysis in a region is realized, score calculation is realized through combination of various evaluation factors, and the data analysis accuracy is improved. A scientific and reasonable site selection method is provided, the fault tolerance rate is achieved, and more optimized site selection operation is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning, and in particular to a site selection method for a pension real estate project based on public transportation and population temporal and spatial distribution. Background Art

[0002] With the aging of the population, the demand for elderly care real estate projects is growing. Site selection is one of the key factors for the success of elderly care real estate projects, which directly affects the project's market competitiveness, operating costs and residents' satisfaction.

[0003] The reference patent name is: A site selection method for elderly care service facilities in a complete residential community (patent publication number: CN116957876A, patent publication date: 2023-10-27). The site selection method includes: determining the scope and boundaries of the complete residential community S to be studied, and obtaining information and data on existing elderly service facilities and candidate elderly service facilities JN; determining the number of communities NS, community numbers IS and community area MS contained in the complete residential community S; determining the weighting coefficients of each community in the complete residential community based on multidimensional elements; determining the weighting coefficients of existing elderly service facilities and candidate elderly service facilities based on multidimensional elements; determining the travel distance r; through minimum impedance traffic accessibility analysis, using ARCGIS software to form a travel buffer zone for the selected elderly facility service point J1, and finally determining the optimal site selection point for the elderly care facility.

[0004] Based on the description in the above-mentioned documents, existing elderly care real estate projects often only consider single factors during the site selection process, such as the convenience of transportation, the number of subway or bus stations, population density, population age, and surrounding supporting facilities. There is a lack of comprehensive consideration, resulting in large limitations in the final site selection, and failure to achieve a specific analysis of the importance of multiple factors. To this end, the present invention provides a site selection method for elderly care real estate projects based on public transportation and population temporal and spatial distribution. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a site selection method for elderly care real estate projects based on public transportation and temporal and spatial distribution of the population, which solves the problem that in the process of site selection for existing elderly care real estate projects, only a single factor is often considered, such as the convenience of transportation, the number of subway or bus stations, population density, the aging of the population, and the supporting facilities required in the surrounding areas. The method lacks comprehensive consideration, resulting in large limitations in the final site selection and failure to achieve a specific analysis of the importance of multiple factors.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for selecting a site for a retirement real estate project based on public transportation and temporal and spatial distribution of population, specifically comprising the following steps: A1. Collect information on geographical location projects that can be bid in the set area, and simultaneously collect public transportation network data, population distribution data and geographical information data around the corresponding geographical location, and store the collected data; A2. Process the data and establish a comprehensive evaluation model to achieve scoring and ranking of various geographical location items in the region. At this time, the processed data is introduced into the comprehensive evaluation model to evaluate the public transportation conditions, population distribution and geographical information conditions corresponding to each geographical location, and then the evaluation conditions of each geographical location are combined to calculate the corresponding score; A3. Combined with the scale of the project and the budget constraints, combined with the scoring order of the projects corresponding to the geographical location, the required area is selected as the best location for the retirement real estate project, and the processed data is presented in the form of charts and text through a visual interface.

[0007] Preferably, the data collected in A1 are specifically: Public transportation network data: including bus route information, subway line information, location information and number of bus stations and subway stations around projects in different geographical locations; Population distribution data: including population size and age structure information around projects in different geographical locations; Geographic information data: including terrain, hospitals, parks and shopping malls around projects in different geographical locations.

[0008] Preferably, the operation of processing the data in A2 is: a21. Extracting the evaluation information type content corresponding to the public transportation network data, population distribution data and geographic information data required in the subsequent step; a22, and according to the extracted evaluation information type, matching the corresponding evaluation information type is realized in the collected data, and then the data content under the corresponding evaluation information type is extracted; a23. Divide and summarize the extracted contents into a public transportation network dataset labeled X, a population distribution dataset labeled Y, and a geographic information dataset labeled Z.

[0009] Preferably, the operation of A2 to implement scoring and ranking of various geographical location items in the region is: The public transportation network dataset X, population distribution dataset Y and geographic information dataset Z are introduced into the comprehensive evaluation model, and the individual evaluation of each data is completed first. Specifically: B1. Public transportation situation assessment b11. With the selected geographical location as the center, the system covers outward in a circular shape, and sets a multi-level coverage range to determine the location information and number of bus stops and subway stations; b12. Compare the number of targets under each level of coverage for projects in different geographical locations, and then implement the public transportation situation scoring operation according to the corresponding weight ratio under the multi-level coverage; B2. Population distribution assessment b21. With the selected geographical location as the center, the map is spread outward in a circular shape, and multiple levels of coverage are set to determine the population distribution; b22. Compare the number of targets at each level of coverage for projects in different geographical locations, and then compare the age of the population within the multi-level coverage. Combine the number of people and age and implement the population distribution scoring operation according to the corresponding weight ratio under the multi-level coverage; B3. Geographic Information Situation Assessment b31. With the selected geographical location as the center, the system will cover outward in a circular shape, and set multiple levels of coverage to determine the location and number of hospitals, parks and shopping malls; b32. A comparison is made based on the weight ratios among hospitals, parks and shopping malls and whether the required supporting facilities are available at each level of coverage, and then the geographic information situation scoring operation is implemented based on the corresponding weight ratios under the multi-level coverage.

[0010] Preferably, the expression for evaluating the public transportation situation is: ; Among them, F X It represents the score for public transportation situation assessment, m1 represents the weight ratio within the first-level coverage under the public transportation situation assessment operation, G1 represents the score corresponding to the ranking of the number of targets within the first-level coverage, and the highest score is the number of corresponding geographical location items, m2 represents the weight ratio within the second-level coverage, G2 represents the score corresponding to the ranking of the number of targets within the second-level coverage, m3 represents the weight ratio within the third-level coverage, G3 represents the score corresponding to the ranking of the number of targets within the third-level coverage.

[0011] Preferably, the expression for evaluating the population distribution is: ; Among them, F YIt represents the score of population distribution assessment, n1 represents the weight ratio within the first-level coverage under the population distribution assessment operation, H1 represents the score corresponding to the ranking of the target number of population within the first-level coverage, L1 represents the score corresponding to the ranking of the target number of age within the first-level coverage, and by analogy, n2 represents the weight ratio within the second-level coverage under the population distribution assessment operation, H2 represents the score corresponding to the ranking of the target number of population within the second-level coverage, L2 represents the score corresponding to the ranking of the target number of age within the second-level coverage, n3 represents the weight ratio within the third-level coverage under the population distribution assessment operation, H3 represents the score corresponding to the ranking of the target number of population within the third-level coverage, and L3 represents the score corresponding to the ranking of the target number of age within the third-level coverage.

[0012] Preferably, the expression for evaluating the geographic information situation is: ; Among them, F Z represents the score of geographic information situation assessment, q1, q2 and q3 represent the weight ratios within the first, second and third level coverage under the geographic information situation assessment operation, U1, U2 and U3 represent the scores corresponding to the ranking of the total scores within the first, second and third level coverage, and U1=R1×p1+S1×p2+T1×p3, U2=R2×p1+S2×p2+T2×p3, U3=R3×p1+S3×p2+T3×p3, R1, R2 and R3 represent the scores corresponding to the ranking of the number of hospital targets within the first, second and third level coverage, S1, S2 and S3 represent the scores corresponding to the ranking of the number of park targets within the first, second and third level coverage, T1, T2 and T3 represent the scores corresponding to the ranking of the number of shopping mall targets within the first, second and third level coverage, and p1, p2 and p3 represent the weight ratios among hospitals, parks and shopping malls within the same coverage.

[0013] Preferably, the operation of combining the evaluation conditions of each geographical location to calculate the corresponding score in A2 is: C1. Select a geographical location and combine the public transportation situation assessment score, population distribution assessment score and geographical information assessment score of this geographical location; C2. Calculate the score of the geographical location here according to the weight ratio of different types of data, so as to realize the score calculation of each geographical location item; C3. Then, the priority ranking operation of each geographical location project is implemented according to the score.

[0014] Preferably, the expression for calculating the corresponding score by combining the evaluation conditions of each geographical location is: ; Among them, F （X+Y+Z） It represents the combined score of each evaluation condition. v1, v2 and v3 represent the weight ratio of the public transportation condition evaluation score, population distribution condition evaluation score and geographic information condition evaluation score respectively.

[0015] Preferably, the operation of selecting the required area as the best location for the elderly care real estate project in A3 in combination with the project scale and budget constraints is: a31. The set budget extreme value is used to compare the price of each geographical location item after sorting with the set budget extreme value in sequence, and the geographical location items exceeding the budget extreme value are removed; a32. Set the required project scale, compare the project scale of the geographical location processed by a31 with the set required project scale in turn, and remove the geographical location projects that are smaller than the set required project scale; a33. Among the screened geographical location projects, the geographical location project with the highest score will be selected as the site for the retirement real estate project.

[0016] The present invention provides a method for selecting a site for a retirement real estate project based on public transportation and temporal and spatial distribution of population. Compared with the prior art, it has the following beneficial effects: (1) The site selection method for elderly care real estate projects based on public transportation and population temporal and spatial distribution processes data to establish a comprehensive evaluation model for scoring and ranking various geographical location projects in the region. At this time, the processed data is introduced into the comprehensive evaluation model to evaluate the public transportation conditions, population distribution conditions and geographical information conditions corresponding to each geographical location. Then, the various evaluation conditions of each geographical location are combined to calculate the corresponding score, thereby realizing data analysis in the region. By combining various evaluation factors to calculate the score, a scientific and reasonable site selection method is provided, which has a fault tolerance rate and realizes a more optimized site selection operation.

[0017] (2) The site selection method for elderly care real estate projects based on public transportation and population spatiotemporal distribution, by scoring and ranking various geographical location projects in the region, completes the individual evaluation operation of each data, and then combines the individually evaluated data with a set weight ratio to form a score calculation for a single geographical location project, and evaluates the geographical location project according to the ranking of the scores, thereby more effectively evaluating the required site selection of elderly care real estate projects, and considering the market competitiveness of the project, the required operating costs, and the satisfaction of subsequent residents in advance.

[0018] (3) This method of selecting the location of elderly care real estate projects based on public transportation and population temporal and spatial distribution combines the scale of the project with the budget limit to remove geographical location projects that exceed the budget limit and geographical location projects that are smaller than the required project scale. The geographical location projects with the highest scores are selected as the locations of elderly care real estate projects. This method not only realizes the site selection operation quickly, but also completes the screening of advantages and disadvantages in advance, so that the selected address is more in line with the required requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is an operational flow chart of the method for selecting a site for a senior real estate project of the present invention; Figure 2 A logical flow chart of the site selection operation of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1-Figure 2 , the present invention provides two technical solutions: Embodiment 1: A method for selecting a site for a senior care real estate project based on public transportation and population temporal and spatial distribution, specifically comprising the following steps: A1. Collect information on geographical location projects that can be bid in the set area, and simultaneously collect public transportation network data, population distribution data and geographical information data around the corresponding geographical location, and store the collected data; A2. Process the data and establish a comprehensive evaluation model to achieve scoring and ranking of various geographical location items in the region. At this time, the processed data is introduced into the comprehensive evaluation model to evaluate the public transportation conditions, population distribution and geographical information conditions corresponding to each geographical location, and then the evaluation conditions of each geographical location are combined to calculate the corresponding score; A3. Combined with the scale of the project and the budget constraints, combined with the scoring order of the projects corresponding to the geographical location, the required area is selected as the best location for the retirement real estate project, and the processed data is presented in the form of charts and text through a visual interface.

[0022] Among them, by processing the data, a comprehensive evaluation model is established to score and rank the various geographical location items in the region. At this time, the processed data is introduced into the comprehensive evaluation model, and the public transportation conditions, population distribution and geographical information corresponding to each geographical location are evaluated. Then, the various evaluation conditions of each geographical location are combined to calculate the corresponding score, so as to realize data analysis in the region. By combining various evaluation factors to calculate the score, a scientific and reasonable site selection method is provided, and it has a fault tolerance rate, so as to achieve a more optimized site selection operation.

[0023] In the embodiment of the present invention, the data collected in A1 is specifically: Public transportation network data: including bus route information, subway line information, location information and number of bus stations and subway stations around projects in different geographical locations; Population distribution data: including population size and age structure information around projects in different geographical locations; Geographic information data: including terrain, hospitals, parks and shopping malls around projects in different geographical locations.

[0024] In the embodiment of the present invention, the operation of processing the data in A2 is: a21. Extracting the evaluation information type content corresponding to the public transportation network data, population distribution data and geographic information data required in the subsequent step; a22, and according to the extracted evaluation information type, matching the corresponding evaluation information type is realized in the collected data, and then the data content under the corresponding evaluation information type is extracted; a23. Divide and summarize the extracted contents into a public transportation network dataset labeled X, a population distribution dataset labeled Y, and a geographic information dataset labeled Z.

[0025] In the embodiment of the present invention, the operation of A2 to implement the scoring and sorting of the geographical location items in the region is: The public transportation network dataset X, population distribution dataset Y and geographic information dataset Z are introduced into the comprehensive evaluation model, and the individual evaluation of each data is completed first. Specifically: B1. Public transportation situation assessment b11. With the selected geographical location as the center, the system covers outward in a circular shape, and sets a multi-level coverage range to determine the location information and number of bus stops and subway stations; b12. Compare the number of targets under each level of coverage for projects in different geographical locations, and then implement the public transportation situation scoring operation according to the corresponding weight ratio under the multi-level coverage; B2. Population distribution assessment b21. With the selected geographical location as the center, the map is spread outward in a circular shape, and multiple levels of coverage are set to determine the population distribution; b22. Compare the number of targets at each level of coverage for projects in different geographical locations, and then compare the age of the population within the multi-level coverage. Combine the number of people and age and implement the population distribution scoring operation according to the corresponding weight ratio under the multi-level coverage; B3. Geographic Information Situation Assessment b31. With the selected geographical location as the center, the system will cover outward in a circular shape, and set multiple levels of coverage to determine the location and number of hospitals, parks and shopping malls; b32. A comparison is made based on the weight ratios among hospitals, parks and shopping malls and whether the required supporting facilities are available at each level of coverage, and then the geographic information situation scoring operation is implemented based on the corresponding weight ratios under the multi-level coverage.

[0026] Among them, by scoring and ranking various geographical location projects in the area, the individual evaluation operations of each important data are completed, and then the separately evaluated data are combined with the set weight ratio to form a score calculation for a single geographical location project, and the geographical location project is evaluated by sorting according to the scores. In this way, the required site selection of elderly care real estate projects can be more effectively evaluated, and the market competitiveness of the project, the required operating costs, and the satisfaction of subsequent residents can be considered in advance.

[0027] In the embodiment of the present invention, the expression for evaluating the public transportation situation is: ; Among them, F X It represents the score for public transportation situation assessment, m1 represents the weight ratio within the first-level coverage under the public transportation situation assessment operation, G1 represents the score corresponding to the ranking of the number of targets within the first-level coverage, and the highest score is the number of corresponding geographical location items, m2 represents the weight ratio within the second-level coverage, G2 represents the score corresponding to the ranking of the number of targets within the second-level coverage, m3 represents the weight ratio within the third-level coverage, G3 represents the score corresponding to the ranking of the number of targets within the third-level coverage.

[0028] For example, there are a total of 10 geographical locations for this assessment, and the public transportation conditions of the 10 locations are assessed in turn. The first, second and third level coverage areas are set to be 3 km, 6 km and 9 km in radius respectively, and the target individuals in the second level coverage area do not include the target individuals in the first level coverage area. Similarly, the target individuals in the third level coverage area do not include the target individuals in the first and second level coverage areas. The weight ratios corresponding to the first, second and third level coverage areas are respectively m1=0.6, m2=0.3 and m3=0.1. The specific results are shown in Table 1: Table 1 Evaluation score table

[0029] To sum up, for the public transportation situation assessment, the eighth geographical location project currently has the highest score, and the following population distribution assessment and geographic information situation assessment operations are similar to the public transportation situation assessment, and the scores of each geographical location project are combined with multiple factors, and the final score is calculated according to the corresponding weight ratio.

[0030] In the embodiment of the present invention, the expression for evaluating the population distribution is: ; Among them, F Y It represents the score of population distribution assessment, n1 represents the weight ratio within the first-level coverage under the population distribution assessment operation, H1 represents the score corresponding to the ranking of the target number of population within the first-level coverage, L1 represents the score corresponding to the ranking of the target number of age within the first-level coverage, and by analogy, n2 represents the weight ratio within the second-level coverage under the population distribution assessment operation, H2 represents the score corresponding to the ranking of the target number of population within the second-level coverage, L2 represents the score corresponding to the ranking of the target number of age within the second-level coverage, n3 represents the weight ratio within the third-level coverage under the population distribution assessment operation, H3 represents the score corresponding to the ranking of the target number of population within the third-level coverage, and L3 represents the score corresponding to the ranking of the target number of age within the third-level coverage.

[0031] In the embodiment of the present invention, the expression for evaluating the geographic information situation is: ; Among them, F Zrepresents the score of geographic information situation assessment, q1, q2 and q3 represent the weight ratios within the first, second and third level coverage under the geographic information situation assessment operation, U1, U2 and U3 represent the scores corresponding to the ranking of the total scores within the first, second and third level coverage, and U1=R1×p1+S1×p2+T1×p3, U2=R2×p1+S2×p2+T2×p3, U3=R3×p1+S3×p2+T3×p3, R1, R2 and R3 represent the scores corresponding to the ranking of the number of hospital targets within the first, second and third level coverage, S1, S2 and S3 represent the scores corresponding to the ranking of the number of park targets within the first, second and third level coverage, T1, T2 and T3 represent the scores corresponding to the ranking of the number of shopping mall targets within the first, second and third level coverage, and p1, p2 and p3 represent the weight ratios among hospitals, parks and shopping malls within the same coverage.

[0032] In the embodiment of the present invention, the operation of combining the evaluation conditions of each geographical location and calculating the corresponding score in A2 is: C1. Select a geographical location and combine the public transportation situation assessment score, population distribution assessment score and geographical information assessment score of this geographical location; C2. Calculate the score of the geographical location here according to the weight ratio of different types of data, so as to realize the score calculation of each geographical location item; C3. Then, the priority ranking operation of each geographical location project is implemented according to the score.

[0033] In the embodiment of the present invention, the expression for calculating the corresponding score in combination with the evaluation conditions of each geographical location is: ; Among them, F （X+Y+Z） It represents the combined score of each evaluation condition. v1, v2 and v3 represent the weight ratio of the public transportation condition evaluation score, population distribution condition evaluation score and geographic information condition evaluation score respectively.

[0034] In the embodiment of the present invention, the operation of selecting the required area as the best location for the elderly care real estate project in A3 in combination with the project scale and budget constraints is: a31. The set budget extreme value is used to compare the price of each geographical location item after sorting with the set budget extreme value in sequence, and the geographical location items exceeding the budget extreme value are removed; a32. Set the required project scale, compare the project scale of the geographical location processed by a31 with the set required project scale in turn, and remove the geographical location projects that are smaller than the set required project scale; a33. Among the screened geographical location projects, the geographical location project with the highest score will be selected as the site for the retirement real estate project.

[0035] Among them, by combining the scale of the project and the budget limit, the geographical location projects that exceed the budget limit and the geographical location projects that are smaller than the required project scale are removed, and the geographical location projects with the highest scores are retained and selected as the site for the retirement real estate project. Not only can the site selection operation be realized quickly, but the screening of advantages and disadvantages is also completed in advance, so that the selected address is more in line with the required requirements.

[0036] Embodiment 2: Compared with Embodiment 1, the present invention further adds a comparative experiment, specifically by applying the existing elderly care real estate project site selection method and the elderly care real estate project site selection method based on public transportation and population spatiotemporal distribution of the present invention to multiple identical areas for synchronous simulation, and the optimal address of the same area is actually known, but the computer has never known it before the simulation operation. By comparing the time of the site selection completed during the operation and the accuracy of the results, the specific results are shown in Table 2: Table 2 Comparison results

[0037] In summary, the site selection method for elderly care real estate projects based on public transportation and population temporal and spatial distribution of the present invention can complete the site selection in a shorter time, and the final determined address has a higher matching degree with the known optimal address, so it can be better applied in practice.

[0038] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0039] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0040] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A site selection method for elderly care real estate projects based on public transportation and population temporal and spatial distribution, characterized by: The specific steps include: A1. Collect information on geographical location projects that can be bid in the set area, and simultaneously collect public transportation network data, population distribution data and geographical information data around the corresponding geographical location, and store the collected data; A2. Process the data and establish a comprehensive evaluation model to achieve scoring and ranking of various geographical location items in the region. At this time, the processed data is introduced into the comprehensive evaluation model to evaluate the public transportation conditions, population distribution and geographical information conditions corresponding to each geographical location, and then the evaluation conditions of each geographical location are combined to calculate the corresponding score; A3. Combined with the scale of the project and the budget constraints, combined with the scoring order of the projects corresponding to the geographical location, the required area is selected as the best location for the retirement real estate project, and the processed data is presented in the form of charts and text through a visual interface.

2. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 1, characterized in that: The data collected in A1 are specifically: Public transportation network data: including bus route information, subway line information, location information and number of bus stations and subway stations around projects in different geographical locations; Population distribution data: including population size and age structure information around projects in different geographical locations; Geographic information data: including terrain, hospitals, parks and shopping malls around projects in different geographical locations.

3. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 1, characterized in that: The operations for processing the data in A2 are: a21. Extracting the evaluation information type content corresponding to the public transportation network data, population distribution data and geographic information data required in the subsequent step; a22, and according to the extracted evaluation information type, matching the corresponding evaluation information type is realized in the collected data, and then the data content under the corresponding evaluation information type is extracted; a23. Divide and summarize the extracted contents into a public transportation network dataset labeled X, a population distribution dataset labeled Y, and a geographic information dataset labeled Z.

4. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 3 is characterized by: The operation of A2 to implement the scoring and sorting of the geographical location items in the region is: The public transportation network dataset X, population distribution dataset Y and geographic information dataset Z are introduced into the comprehensive evaluation model, and the individual evaluation of each data is completed first. Specifically: B1. Public transportation situation assessment b11. With the selected geographical location as the center, the system covers outward in a circular shape, and sets a multi-level coverage range to determine the location information and number of bus stops and subway stations; b12. Compare the number of targets under each level of coverage for projects in different geographical locations, and then implement the public transportation situation scoring operation according to the corresponding weight ratio under the multi-level coverage; B2. Population distribution assessment b21. With the selected geographical location as the center, the map is spread outward in a circular shape, and multiple levels of coverage are set to determine the population distribution; b22. Compare the number of targets at each level of coverage for projects in different geographical locations, and then compare the age of the population within the multi-level coverage. Combine the number of people and age and implement the population distribution scoring operation according to the corresponding weight ratio under the multi-level coverage; B3. Geographic Information Situation Assessment b31. With the selected geographical location as the center, the system will cover outward in a circular shape, and set multiple levels of coverage to determine the location and number of hospitals, parks and shopping malls; b32. A comparison is made based on the weight ratios among hospitals, parks and shopping malls and whether the required supporting facilities are available at each level of coverage, and then the geographic information situation scoring operation is implemented based on the corresponding weight ratios under the multi-level coverage.

5. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 4 is characterized by: The expression for evaluating the public transportation situation is: ； Among them, F X It represents the score for public transportation situation assessment, m1 represents the weight ratio within the first-level coverage under the public transportation situation assessment operation, G1 represents the score corresponding to the ranking of the number of targets within the first-level coverage, and the highest score is the number of corresponding geographical location items, m2 represents the weight ratio within the second-level coverage, G2 represents the score corresponding to the ranking of the number of targets within the second-level coverage, m3 represents the weight ratio within the third-level coverage, G3 represents the score corresponding to the ranking of the number of targets within the third-level coverage.

6. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 5 is characterized by: The expression for evaluating the population distribution is: ； Among them, F Y It represents the score of population distribution assessment, n1 represents the weight ratio within the first-level coverage under the population distribution assessment operation, H1 represents the score corresponding to the ranking of the target number of population within the first-level coverage, L1 represents the score corresponding to the ranking of the target number of age within the first-level coverage, and by analogy, n2 represents the weight ratio within the second-level coverage under the population distribution assessment operation, H2 represents the score corresponding to the ranking of the target number of population within the second-level coverage, L2 represents the score corresponding to the ranking of the target number of age within the second-level coverage, n3 represents the weight ratio within the third-level coverage under the population distribution assessment operation, H3 represents the score corresponding to the ranking of the target number of population within the third-level coverage, and L3 represents the score corresponding to the ranking of the target number of age within the third-level coverage.

7. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 6, characterized in that: The expression for evaluating the geographic information situation is: ； Among them, F Z represents the score of geographic information situation assessment, q1, q2 and q3 represent the weight ratios within the first, second and third level coverage under the geographic information situation assessment operation, U1, U2 and U3 represent the scores corresponding to the ranking of the total scores within the first, second and third level coverage, and U1=R1×p1+S1×p2+T1×p3, U2=R2×p1+S2×p2+T2×p3, U3=R3×p1+S3×p2+T3×p3, R1, R2 and R3 represent the scores corresponding to the ranking of the number of hospital targets within the first, second and third level coverage, S1, S2 and S3 represent the scores corresponding to the ranking of the number of park targets within the first, second and third level coverage, T1, T2 and T3 represent the scores corresponding to the ranking of the number of shopping mall targets within the first, second and third level coverage, and p1, p2 and p3 represent the weight ratios among hospitals, parks and shopping malls within the same coverage.

8. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 1 is characterized by: The operation of combining the evaluation conditions of each geographical location and calculating the corresponding score in A2 is: C1. Select a geographical location and combine the public transportation situation assessment score, population distribution assessment score and geographical information assessment score of this geographical location; C2. Calculate the score of the geographical location here according to the weight ratio of different types of data, so as to realize the score calculation of each geographical location item; C3. Then, the priority ranking operation of each geographical location project is implemented according to the score.

9. The method for selecting a site for a senior care real estate project based on public transportation and temporal and spatial distribution of population according to claim 7, characterized in that: The expression for calculating the corresponding score based on the evaluation conditions of each geographical location is as follows: ； Among them, F （X+Y+Z） It represents the combined score of each evaluation condition. v1, v2 and v3 represent the weight ratio of the public transportation condition evaluation score, population distribution condition evaluation score and geographic information condition evaluation score respectively.

10. The method for selecting a site for a senior care real estate project based on public transportation and population temporal and spatial distribution according to claim 1, characterized in that: The operation of selecting the desired area as the best location for the elderly care real estate project in A3 based on the project scale and budget constraints is: a31. The set budget extreme value is used to compare the price of each geographical location item after sorting with the set budget extreme value in sequence, and the geographical location items exceeding the budget extreme value are removed; a32. Set the required project scale, compare the project scale of the geographical location processed by a31 with the set required project scale in turn, and remove the geographical location projects that are smaller than the set required project scale; a33. Among the screened geographical location projects, the geographical location project with the highest score will be selected as the site for the retirement real estate project.

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