Railway station site selection method and device, electronic equipment and storage medium

Abstract

The invention provides a railway station site selection method and device, electronic equipment and a storage medium, and relates to the technical field of geographic information. The method comprises the following steps: acquiring a plurality of initial candidate sites and a plurality of site selection evaluation indexes; generating a constraint condition graph layer according to the constraint condition data of each preset constraint condition, and generating a candidate site graph layer according to the site data of each initial candidate site; performing overlay analysis on the constraint condition layer and the candidate site layer, screening to obtain a plurality of candidate sites, and adding the plurality of candidate sites to a candidate site set; and determining an evaluation result of each candidate site in the candidate site set under each site selection evaluation index according to the evaluation strategy of each site selection evaluation index, and determining a target site according to the evaluation result of each candidate site under each site selection evaluation index. Through precise site selection, quantitative evaluation and decision support, the problem that the prior art is difficult to meet the requirements of railway site selection work under the background of high-quality development is effectively solved.

Description

Technical Field

[0001] The present application relates to the field of geographic information technology, and in particular to a railway station site selection method, device, electronic equipment and storage medium. Background Art

[0002] Railways are key infrastructure for the national economy. The site selection of railway stations not only affects the operational efficiency of the railway system, but also has a profound impact on the economic development, spatial layout and social welfare of cities along the line. Therefore, scientific and reasonable site selection technology is of great significance to promoting regional integration and promoting high-quality economic development.

[0003] At present, the site selection of railway stations mainly relies on traditional qualitative judgment and mathematical calculations, focusing on the engineering and technical conditions of the station itself, such as geological stability, construction difficulty, line direction, etc., and evaluating the feasibility of the site selection through a series of engineering standards. However, the above traditional methods often ignore the complexity and diversity of site selection, especially the degree of coordination with the planning and construction of the city where the station is located, the development potential of the surrounding areas of the station, and other factors, which leads to unreasonable planning and design of railway stations, and the development and construction fails to achieve the expected results, making it difficult to meet the needs of railway station site selection in the context of high-quality development. Summary of the invention

[0004] The purpose of this application is to provide a railway site selection method, device, electronic device and storage medium to address the shortcomings of the above-mentioned prior art, so as to solve the problem that the prior art is difficult to meet the needs of railway site selection work in the context of high-quality development.

[0005] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0006] In a first aspect, the embodiments of the present application provide a method for meeting the requirements of railway site selection work under the background of high-quality development, the method comprising:

[0007] Obtain multiple initial candidate sites and multiple site selection evaluation indicators;

[0008] Generate a constraint layer according to the constraint data of each preset constraint, and generate a candidate site layer according to the site data of each of the initial candidate sites, wherein the preset constraint includes: range restriction conditions and site setting environment conditions, the candidate site layer includes geographical location information of each of the initial candidate sites, and the constraint layer includes a buffer layer of each of the preset constraint;

[0009] Performing an overlay analysis on the constraint condition layer and the candidate site layer, screening out multiple candidate sites from the multiple initial candidate sites, and adding the multiple candidate sites to a candidate site set;

[0010] According to the evaluation strategy of each of the site selection evaluation indicators, the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators are determined, and according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators, the target site is determined.

[0011] As a possible implementation, the multiple site selection evaluation indicators include multiple main evaluation indicators and multiple secondary evaluation indicators;

[0012] Determining the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators according to the evaluation strategy of each of the site selection evaluation indicators, and determining the target site according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators, includes:

[0013] Determine the evaluation results of each candidate site in the candidate site set under each of the main evaluation indicators according to the evaluation strategy of each of the main evaluation indicators, and determine the main evaluation results of each of the candidate sites according to the evaluation results of each of the candidate sites under each of the main evaluation indicators;

[0014] If the difference between the main evaluation results of the candidate sites is greater than a preset value, the candidate site with the highest main evaluation result is selected as the target site;

[0015] Otherwise, according to the evaluation strategy of each secondary evaluation indicator, the evaluation result of each candidate site under each secondary evaluation indicator is determined, and according to the evaluation result of each candidate site under each secondary evaluation indicator, the secondary evaluation result of each candidate site is determined, and according to the secondary evaluation result and the primary evaluation result of each candidate site, the target site is determined.

[0016] As a possible implementation, after determining the evaluation result of each candidate site in the candidate site set under each site selection evaluation indicator according to the evaluation strategy of each site selection evaluation indicator, the method further includes:

[0017] Performing positive processing and standardization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain the processed evaluation results of each candidate site under each site selection evaluation index;

[0018] The indicator weight of each of the site selection evaluation indicators is determined according to the processed evaluation results of each of the candidate sites under each of the site selection evaluation indicators.

[0019] As a possible implementation manner, the evaluation results of each candidate site under each site selection evaluation index are subjected to positive processing and standardization processing to obtain the processed evaluation results of each candidate site under each site selection evaluation index, including:

[0020] According to the meaning of each of the site selection evaluation indicators, the multiple site selection evaluation indicators are divided into positive evaluation indicators and negative evaluation indicators;

[0021] Performing positive processing on the evaluation results of each candidate site under the positive evaluation index according to the positive strategy corresponding to the positive evaluation index, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation index according to the positive strategy corresponding to the reverse evaluation index, to obtain the positive processing results of each candidate site under each site selection evaluation index;

[0022] The forward processing results of each candidate site under each site selection evaluation index are dimensionlessly processed to obtain the processed evaluation results of each candidate site under each site selection evaluation index.

[0023] As a possible implementation manner, determining the indicator weight of each of the site selection evaluation indicators according to the processed evaluation results of each of the candidate sites under each of the site selection evaluation indicators includes:

[0024] Determine the evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and the processed evaluation results of each candidate site under each site selection evaluation index;

[0025] The indicator weight of each of the site selection evaluation indicators is determined according to the number of the candidate sites in the candidate site set and the evaluation indicator entropy value of each of the candidate sites.

[0026] As a possible implementation manner, determining the main evaluation result of each candidate site according to the evaluation result of each candidate site under each main evaluation indicator includes:

[0027] The main evaluation result of each candidate site is determined according to the indicator weight of each main evaluation indicator and the processed evaluation result of each candidate site under each main evaluation indicator.

[0028] As a possible implementation, determining the main evaluation result of each candidate site according to the indicator weight of each main evaluation indicator and the processed evaluation result of each candidate site under each main evaluation indicator includes:

[0029] Generate a weighted decision matrix corresponding to each of the candidate sites according to the indicator weights of each of the main evaluation indicators and the processed evaluation results of each of the candidate sites under each of the main evaluation indicators;

[0030] Determine the maximum and minimum values ​​of the weighted decision matrix corresponding to each of the candidate sites;

[0031] Determine the first Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the maximum value of the weighted decision matrix, and determine the second Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the minimum value of the weighted decision matrix;

[0032] The relative proximity of each of the candidate sites is determined according to the first Euclidean distance and the second Euclidean distance corresponding to each of the candidate sites, and the relative proximity of each of the candidate sites is used as a main evaluation result of each of the candidate sites.

[0033] In a second aspect, an embodiment of the present application provides a railway station site selection device, the device comprising:

[0034] An acquisition module, used to acquire multiple initial candidate sites and multiple site selection evaluation indicators;

[0035] A generation module, used to generate a constraint condition layer according to the constraint condition data of each preset constraint condition, and to generate a candidate site layer according to the site data of each of the initial candidate sites, wherein the preset constraint condition includes: range restriction condition and site setting environment condition, the candidate site layer includes the geographical location information of each of the initial candidate sites, and the constraint condition layer includes a buffer layer of each of the preset constraint conditions;

[0036] A screening module, used for superimposing and analyzing the constraint condition layer and the candidate site layer, screening out multiple candidate sites from the multiple initial candidate sites, and adding the multiple candidate sites to a candidate site set;

[0037] The determination module is used to determine the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators according to the evaluation strategy of each of the site selection evaluation indicators, and determine the target site according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators.

[0038] As a possible implementation, the multiple site selection evaluation indicators include multiple main evaluation indicators and multiple secondary evaluation indicators; the determination module is specifically used to:

[0039] Determine the evaluation results of each candidate site in the candidate site set under each of the main evaluation indicators according to the evaluation strategy of each of the main evaluation indicators, and determine the main evaluation results of each of the candidate sites according to the evaluation results of each of the candidate sites under each of the main evaluation indicators;

[0040] If the difference between the main evaluation results of the candidate sites is greater than a preset value, the candidate site with the highest main evaluation result is selected as the target site;

[0041] Otherwise, according to the evaluation strategy of each secondary evaluation indicator, the evaluation result of each candidate site under each secondary evaluation indicator is determined, and according to the evaluation result of each candidate site under each secondary evaluation indicator, the secondary evaluation result of each candidate site is determined, and according to the secondary evaluation result and the primary evaluation result of each candidate site, the target site is determined.

[0042] As a possible implementation manner, the determining module is further used to:

[0043] Performing positive processing and standardization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain the processed evaluation results of each candidate site under each site selection evaluation index;

[0044] The indicator weight of each of the site selection evaluation indicators is determined according to the processed evaluation results of each of the candidate sites under each of the site selection evaluation indicators.

[0045] As a possible implementation manner, the determining module is further used to:

[0046] According to the meaning of each of the site selection evaluation indicators, the multiple site selection evaluation indicators are divided into positive evaluation indicators and negative evaluation indicators;

[0047] Performing positive processing on the evaluation results of each candidate site under the positive evaluation index according to the positive strategy corresponding to the positive evaluation index, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation index according to the positive strategy corresponding to the reverse evaluation index, to obtain the positive processing results of each candidate site under each site selection evaluation index;

[0048] The forward processing results of each candidate site under each site selection evaluation index are dimensionlessly processed to obtain the processed evaluation results of each candidate site under each site selection evaluation index.

[0049] As a possible implementation manner, the determining module is further used to:

[0050] Determine the evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and the processed evaluation results of each candidate site under each site selection evaluation index;

[0051] The indicator weight of each of the site selection evaluation indicators is determined according to the number of the candidate sites in the candidate site set and the evaluation indicator entropy value of each of the candidate sites.

[0052] As a possible implementation manner, the determining module is further used to:

[0053] The main evaluation result of each candidate site is determined according to the indicator weight of each main evaluation indicator and the processed evaluation result of each candidate site under each main evaluation indicator.

[0054] As a possible implementation manner, the determining module is further used to:

[0055] Generate a weighted decision matrix corresponding to each of the candidate sites according to the indicator weights of each of the main evaluation indicators and the processed evaluation results of each of the candidate sites under each of the main evaluation indicators;

[0056] Determine the maximum and minimum values ​​of the weighted decision matrix corresponding to each of the candidate sites;

[0057] Determine the first Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the maximum value of the weighted decision matrix, and determine the second Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the minimum value of the weighted decision matrix;

[0058] The relative proximity of each of the candidate sites is determined according to the first Euclidean distance and the second Euclidean distance corresponding to each of the candidate sites, and the relative proximity of each of the candidate sites is used as a main evaluation result of each of the candidate sites.

[0059] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the railway site selection method as described in any one of the first aspects above.

[0060] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the railway site selection method as described in any one of the first aspects above are executed.

[0061] According to the railway site selection method, device, electronic device and storage medium of the embodiment of the present application, multiple initial candidate sites and multiple site selection evaluation indicators are obtained; a constraint condition layer is generated according to the constraint condition data of each preset constraint condition, and a candidate site layer is generated according to the site data of each initial candidate site; the constraint condition layer and the candidate site layer are superimposed and analyzed, multiple candidate sites are screened from multiple initial candidate sites, and multiple candidate sites are added to the candidate site set; according to the evaluation strategy of each site selection evaluation indicator, the evaluation results of each candidate site in the candidate site set under each site selection evaluation indicator are determined, and the target site is determined according to the evaluation results of each candidate site under each site selection evaluation indicator. According to the embodiment of the present application, based on multiple site selection evaluation indicators to reflect the advantages and disadvantages of railway site selection, multiple initial candidate sites are used as multi-source candidate sites, and a constraint condition layer is generated using preset constraints to provide clear boundaries and restrictions for site selection, and a candidate site layer is generated according to the site data of each initial candidate site, and then the candidate site layer is superimposed with the constraint condition layer, and the candidate sites that meet the constraints are screened out to generate a candidate site set. Furthermore, according to the evaluation strategy of each site selection evaluation index, each candidate site in the candidate site set obtained by the preliminary screening is quantitatively evaluated to obtain the evaluation results of each candidate site under each site selection evaluation index, and then the evaluation results of each candidate site under all site selection evaluation indicators are comprehensively considered to determine the final target site. Based on this, this application effectively solves the problem that the existing technology is difficult to meet the needs of railway site selection work under the background of high-quality development by comprehensively considering multiple factors, using geographic information technology to achieve precise site selection, and conducting quantitative evaluation and decision support. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0063] Figure 1 A schematic diagram of a process flow of a railway station site selection method provided in an embodiment of the present application is shown;

[0064] Figure 2 A schematic diagram of a process for determining a target site provided in an embodiment of the present application is shown;

[0065] Figure 3 A schematic diagram of a process for processing evaluation results provided in an embodiment of the present application is shown;

[0066] Figure 4 A schematic diagram of a flow chart of a method for determining an indicator weight provided in an embodiment of the present application is shown;

[0067] Figure 5 A schematic diagram showing a flow chart of a method for determining a main evaluation result of a candidate site provided in an embodiment of the present application;

[0068] Figure 6 A schematic diagram of the structure of a railway station site selection device provided in an embodiment of the present application is shown;

[0069] Figure 7 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0070] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.

[0071] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0072] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared thereafter, but does not exclude the addition of other features.

[0073] Figure 1 The following is a flow chart of a method for selecting a railway station site provided in an embodiment of the present application. Figure 1As shown in FIG. 1 , the method is applied to a Geographic Information System (GIS) analysis platform and specifically includes the following steps:

[0074] S101. Obtain multiple initial candidate sites and multiple site selection evaluation indicators.

[0075] Optionally, the site selection evaluation index is a standard for evaluating the quality of each initial candidate site, including multiple main evaluation indicators and multiple secondary evaluation indicators.

[0076] For example, the main evaluation indicators are shown in Table 1 below, and the secondary evaluation indicators are shown in Table 2 below:

[0077] Table 1 Main evaluation indicators

[0078] Table 2 Secondary evaluation indicators

[0079]

[0080] S102: Generate a constraint layer according to constraint data of each preset constraint, and generate a candidate site layer according to site data of each initial candidate site.

[0081] Optionally, the preset constraint conditions include: range restriction conditions and station setting environment conditions. Exemplarily, the preset constraint conditions are shown in Table 3 below:

[0082] Table 3 Constraints

[0083]

[0084] Optionally, the candidate site layer includes the geographic location information of each initial candidate site, and the constraint layer includes a buffer layer of each preset constraint. Exemplarily, the candidate site layer converts the geographic location information (such as longitude and latitude) of each initial candidate site into a point or area on a map, and the preset condition layer is a buffer layer generated according to the preset constraint. The buffer is a spatial area around the constraint, which is used to indicate that the site selection in the area will be restricted.

[0085] Optionally, in the GIS analysis platform, a new geographic database is created to store and manage all data related to site selection. On this basis, the constraint data affecting site selection is imported into the geographic database, a buffer is established for each constraint, and a layer containing all constraints is generated based on the established buffer, i.e., the constraint layer mentioned above, for subsequent overlay analysis.

[0086] S103, overlay analysis is performed on the constraint condition layer and the candidate site layer, multiple candidate sites are obtained from the multiple initial candidate sites, and the multiple candidate sites are added to the candidate site set.

[0087] Optionally, the constraint layer and the candidate site layer are superimposed together, and spatial analysis such as intersection and inclusion is used to determine which candidate sites meet all the constraints. For example, the location of each initial candidate site is compared with the preset condition layer to determine which initial candidate sites are located within the constraint or intersect with it, and the result of the superposition analysis is obtained. Then, based on the result of the superposition analysis, it is determined which initial candidate sites intersect with the constraint layer. For the intersecting initial candidate sites, they will be deemed not to meet the site selection requirements and will be removed from the candidate site list. Based on this, sites that do not meet any preset constraint conditions are screened out, and sites that meet all preset constraints are left as candidate sites for further evaluation, and a set of candidate sites is obtained.

[0088] S104: Determine the evaluation results of each candidate site in the candidate site set under each site selection evaluation indicator according to the evaluation strategy of each site selection evaluation indicator, and determine the target site according to the evaluation results of each candidate site under each site selection evaluation indicator.

[0089] Optionally, the evaluation strategy of the site selection evaluation index can be a quantitative scoring standard or a qualitative evaluation method. According to the evaluation strategy of each site selection evaluation index, each candidate site in the candidate site set is scored under each site selection evaluation index, and the score of each candidate site under each site selection evaluation index is integrated to obtain the evaluation results of each candidate site under each site selection evaluation index, and then the optimal site is selected as the target site according to the evaluation results of each candidate site under each site selection evaluation index.

[0090] Based on this, according to a railway site selection method provided in an embodiment of the present application, a plurality of site selection evaluation indicators are used to reflect the pros and cons of railway site selection, and a plurality of initial candidate sites are used as multi-source candidate sites, and a constraint condition layer is generated using preset constraints to provide clear boundaries and restrictions for site selection, and a candidate site layer is generated based on the site data of each initial candidate site, and then the candidate site layer is superimposed with the constraint condition layer, and the candidate sites that meet the constraints are screened out to generate a candidate site set. Further, according to the evaluation strategy of each site selection evaluation indicator, each candidate site in the candidate site set obtained by the preliminary screening is quantitatively evaluated to obtain the evaluation results of each candidate site under each site selection evaluation indicator, and then the evaluation results of each candidate site under all site selection evaluation indicators are comprehensively considered to determine the final target site. Based on this, the present application effectively solves the problem that the existing technology is difficult to meet the needs of railway site selection work under the background of high-quality development by comprehensively considering multiple factors, using GIS technology to achieve precise site selection, and conducting quantitative evaluation and decision support.

[0091] Figure 2 The following is a flow chart of a method for determining a target site according to an embodiment of the present application. Figure 2 As shown, the above step S104 specifically includes the following steps:

[0092] S201. Determine the evaluation results of each candidate site in the candidate site set under each main evaluation indicator according to the evaluation strategy of each main evaluation indicator, and determine the main evaluation result of each candidate site according to the evaluation results of each candidate site under each main evaluation indicator.

[0093] Exemplarily, in combination with the main evaluation indicators shown in Table 1 above, for the indicator layer of urban location, the corresponding evaluation strategy is to calculate the Euclidean distance from the candidate site to the city center and the average Euclidean distance to the key urban platforms around the site, and determine the evaluation results of the two main evaluation indicators of "distance from the city center" and "distance from the key urban platforms" based on the above Euclidean distance and average Euclidean distance. Specifically, the above Euclidean distance is calculated according to the following formula (1), and the above average Euclidean distance is calculated according to the following formula (2):

[0094]

[0095] Among them, d i represents the Euclidean distance from the candidate site to the city center, represents the average Euclidean distance from the candidate site to the key platforms in the surrounding cities. represents the horizontal coordinate of candidate site i, represents the ordinate of candidate site i, t x Represents the horizontal coordinate of the target central city, ty Indicates the vertical coordinate of the target central city, represents the horizontal coordinate of the jth key platform in the surrounding cities, Represents the ordinate of the jth key platform in the surrounding cities.

[0096] For example, for the indicator layer of urban location, the evaluation strategy corresponding to the indicator factor "degree of urban development coordination" is to analyze the urban spatial structure through national land space planning, and to score and calculate the degree of coordination with the urban service center, the degree of coordination with the urban development axis, and the degree of coordination with the urban functional area, and obtain a score value, which is used to reflect the degree of urban development coordination. The evaluation strategy corresponding to the indicator factor "population service scale" is to calculate based on population data, for example, through the demographic yearbook and Baidu Map Smart Eye population data.

[0097] For example, for the indicator layer of planning conditions, the scoring strategy corresponding to the indicator factors "three zones and three lines", "current land use rights", "national land space master plan" and "control detailed plan" is to calculate the indicators according to the Delphi method, for example, through GIS spatial calculation indicators, to obtain detailed spatial information about a specific area, and then calculate it through the Delphi method, a structured prediction method.

[0098] For example, for the main evaluation indicator of "external road traffic convenience" under the traffic condition indicator layer, the corresponding evaluation strategy is determined based on the average time of road traffic connection from the candidate station to the geometric center of the surrounding area, as shown in the following formula (3):

[0099]

[0100] in, represents the average time of road traffic connection from the candidate station to the geometric center of the surrounding area, represents the road traffic connection time from the i-th candidate site to the geometric center of the j-th surrounding area, and q represents the number of surrounding areas of the candidate site.

[0101] For example, for the main evaluation indicator of "internal road traffic convenience" under the traffic condition indicator layer, the corresponding evaluation strategy is based on the reachable range of the candidate station within a preset time (for example, half an hour), taking the intersection area of ​​the reachable range and the central city range, and calculating the coverage with the central city range, as shown in the following formula (4):

[0102]

[0103] Among them, f i Indicates the coverage of the candidate site’s reachable range within a preset time (e.g. half an hour) and the central city range. represents the coverage area that can be reached by candidate site i in half an hour, and A represents the coverage area of ​​the central city.

[0104] For example, for the main evaluation indicator under the indicator layer of engineering cost, the corresponding evaluation strategy can be determined based on the estimated engineering cost information of the candidate site, and the estimated engineering cost information includes line construction cost, station construction cost and demolition cost.

[0105] In summary, based on the evaluation strategies of the main evaluation indicators, the parameter values ​​corresponding to the evaluation strategies are obtained, such as the Euclidean distance, the average Euclidean distance, the degree of planning coordination, the average time of road traffic connection from the candidate site to the geometric center of the surrounding area, the coverage of the reachable range of the candidate site within a preset time (for example, half an hour) and the central city range, and the above-mentioned parameter values ​​are used as the evaluation results under the main evaluation indicators. The evaluation results of the candidate sites under the main indicators are combined, such as direct addition or weighted accumulation according to preset weights, to obtain the main evaluation results of each candidate site. The main evaluation results of each candidate site can be reflected as a specific score value.

[0106] S202: If the difference between the main evaluation results of the candidate sites is greater than a preset value, the candidate site with the highest main evaluation result is selected as the target site.

[0107] Exemplarily, a difference greater than a preset value means that when comparing the main evaluation results of each candidate site, the main evaluation result takes a specific score value as an example. If the difference between the highest score and the second highest score (or the score of other candidate sites) exceeds a preset standard or threshold (i.e., a preset value, such as 10), then it is considered that the differences between the candidate sites are significant, and the candidate site with the highest evaluation result is obviously better than other candidate sites, and the candidate site with the highest score can be selected as the target site, that is, the candidate site with the highest score can be selected as the final site selection object.

[0108] S203. If the difference between the main evaluation results of each candidate site is less than or equal to a preset value, then the evaluation results of each candidate site under each secondary evaluation indicator are determined according to the evaluation strategy of each secondary evaluation indicator, and the secondary evaluation results of each candidate site are determined according to the evaluation results of each candidate site under each secondary evaluation indicator, and the target site is determined according to the secondary evaluation results and the main evaluation results of each candidate site.

[0109] Optionally, when the difference between the main evaluation results of each candidate site is less than or equal to a preset value, it means that the performance of these candidate sites on the main evaluation indicators is relatively close, and no site has a significant advantage in the main evaluation indicators. Therefore, it is necessary to introduce more evaluation dimensions to make a more detailed comparison. On this basis, this application introduces secondary evaluation indicators. For each candidate site, the evaluation results of each candidate site under each secondary evaluation indicator are calculated according to the evaluation strategy of each secondary evaluation indicator, and the evaluation results under each secondary evaluation indicator are summarized to obtain a comprehensive secondary evaluation result, which can be a comprehensive score.

[0110] Optionally, based on the secondary evaluation results of each candidate site, the target site is determined according to the secondary evaluation results and the primary evaluation results of each candidate site, for example, the secondary evaluation results and the primary evaluation results of each candidate site are directly added to obtain a comprehensive evaluation result, or the secondary evaluation results and the primary evaluation results are weighted and comprehensively evaluated to obtain a comprehensive evaluation result, and then the comprehensive evaluation result is used to screen out the target site from multiple candidate sites.

[0111] Exemplarily, in combination with the secondary evaluation indicators shown in Table 2 above, for the secondary evaluation indicators under the indicator layer of development resources, the corresponding evaluation strategy is to determine the land scale information of each candidate site, including the scale of incremental construction land and the scale of transformation land. Specifically, with a preset distance of 2 kilometers, a 2-kilometer buffer zone is established for the candidate site, and a candidate site buffer zone layer is generated. In the GIS analysis platform, the buffer zone layer is intersected with the construction map layer and the transformation map layer to obtain the land scale information of each candidate site. For the secondary evaluation indicators under the indicator layer of land market potential, the corresponding evaluation strategy is to establish a 5-kilometer buffer zone for the candidate site, generate a buffer zone layer for the candidate site, and count the land market value within the buffer zone. For the secondary evaluation indicators under the indicator layer of industrial resources, the corresponding evaluation strategy is to establish a 5-kilometer buffer zone for the candidate site, generate a buffer zone layer for the candidate site, and count the number of enterprises in the buffer zone and the proportion of types of scientific and technological innovation enterprises. For the secondary evaluation indicators under the indicator layer of travel vitality, the corresponding evaluation strategy is to establish a 10-kilometer buffer zone for the candidate site, generate a buffer zone layer for the candidate site, and count the number of tourist attractions and the scale of population travel within the buffer zone, that is, the thermal value. For the secondary evaluation indicators under the indicator layer of supporting services, the corresponding evaluation strategy is to conduct a kernel density analysis of the public services and commercial services in the urban area of ​​the candidate site in the GIS analysis platform, generate a public service density layer and a commercial service density layer, and calculate the density of public service facilities and commercial service facilities within 5 kilometers around the candidate site.

[0112] In summary, based on the evaluation strategies of each secondary evaluation indicator, the parameter values ​​corresponding to each evaluation strategy are obtained, such as land scale information, land market value, number of enterprises, proportion of science and technology innovation enterprise types, number of tourist attractions, population travel heat value, public service facility density and commercial service facility density, and the above parameter values ​​are used as the evaluation results under each secondary evaluation indicator. The evaluation results of the candidate sites under each secondary indicator are combined, such as direct addition or weighted accumulation according to preset weights, to obtain the secondary evaluation results of each candidate site. The secondary evaluation results of each candidate site can also be reflected as a specific score value.

[0113] Based on this, by effectively determining whether the evaluation results of each candidate site under the main evaluation indicators have significant differences, if the difference is significant, the candidate site with the highest evaluation result can be directly selected as the target site. If the difference is not significant and the target site cannot be directly determined, the secondary evaluation indicators are introduced for further evaluation. By determining the evaluation results of each candidate site under the secondary evaluation indicators, the secondary evaluation results of each candidate site are obtained. By combining the main evaluation results and the secondary evaluation results, a comprehensive evaluation result is obtained, and then the comprehensive evaluation results of each candidate site are used to determine the target site from multiple candidate sites, thereby improving the scientificity and accuracy of site decision-making.

[0114] As a possible implementation, after the above step S104 determines the evaluation results of each candidate site in the candidate site set under each site selection evaluation indicator according to the evaluation strategy of each site selection evaluation indicator, the method further includes:

[0115] The evaluation results of each candidate site under each site selection evaluation index are positively processed and standardized to obtain the processed evaluation results of each candidate site under each site selection evaluation index; according to the processed evaluation results of each candidate site under each site selection evaluation index, the indicator weight of each site selection evaluation index is determined.

[0116] Optionally, the positive processing refers to unifying the scores of all site selection evaluation indicators into positive indicators. Site selection evaluation indicators usually include positive evaluation indicators and negative evaluation indicators. The positive evaluation indicator means that the larger the value, the better the performance of the candidate site on the indicator. The negative evaluation indicator is the opposite. The negative evaluation indicator means that the smaller the value, the better the performance of the candidate site on the indicator. The positive processing is to unify all site selection evaluation indicators into positive evaluation indicators, that is, to ensure that the increase in the value of all site selection evaluation indicators indicates that the performance of the candidate site on the indicator has improved.

[0117] Optionally, standardization refers to converting the scores of each candidate site under each site selection evaluation index to the same dimension. Since the dimensions and value ranges of each site selection evaluation index may be different, it is unfair to directly compare and evaluate the performance of each candidate site on each site selection evaluation index. Standardization eliminates the dimension differences between the site selection evaluation indicators and converts the evaluation results corresponding to each site selection evaluation index to the same scale.

[0118] Figure 3 The following is a flow chart of a method for processing evaluation results provided in an embodiment of the present application. Figure 3 As shown, the above steps perform positive processing and standardization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain the processed evaluation results of each candidate site under each site selection evaluation index, which specifically includes the following steps:

[0119] S301. According to the meaning of each site selection evaluation indicator, multiple site selection evaluation indicators are divided into positive evaluation indicators and negative evaluation indicators.

[0120] For example, a positive evaluation index refers to an index whose larger value indicates a better evaluation result, which usually reflects favorable conditions or advantages of site selection. A negative evaluation index refers to an index whose smaller value indicates a better evaluation result, which usually reflects unfavorable conditions or disadvantages of site selection.

[0121] For example, in combination with the main evaluation indicators shown in Table 1 and the secondary evaluation indicators shown in Table 2, the indicator meanings of each site selection evaluation indicator are the indicator interpretations of each evaluation indicator recorded in Table 1 and Table 2. Taking the main evaluation indicator of "convenience of external road traffic" under the indicator level of traffic conditions in Table 1 as an example, the indicator meaning of this main evaluation indicator is "road traffic connection time between the station and the high-speed railway stations in surrounding districts and counties". It can be understood that the higher the traffic convenience, the better the traffic conditions of the station, so the higher the score corresponding to the main evaluation indicator of "convenience of external road traffic", the more convenient the traffic, so the main evaluation indicator of "convenience of external road traffic" can be used as a positive evaluation indicator.

[0122] S302. Perform positive processing on the evaluation results of each candidate site under the positive evaluation index according to the positive processing strategy corresponding to the positive evaluation index, and perform positive processing on the evaluation results of each candidate site under the reverse evaluation index according to the positive processing strategy corresponding to the reverse evaluation index, so as to obtain the positive processing results of each candidate site under each site selection evaluation index.

[0123] For example, the positive evaluation index corresponds to the positive strategy as shown in the following formula (5):

[0124]

[0125] Among them, x ij_a represents the positive processing results of each candidate site under each positive evaluation index, x ija It represents the evaluation results of each candidate site under each positive evaluation index. represents the maximum value of the jth positive evaluation index, Represents the minimum value of the jth positive evaluation indicator.

[0126] For example, the positive strategy corresponding to the reverse evaluation index is shown in the following formula (6):

[0127]

[0128] Among them, x ij_b represents the forward processing results of each candidate site under each reverse evaluation index, x ijb It represents the evaluation results of each candidate site under each reverse evaluation index, represents the maximum value of the jth inverse evaluation index, Represents the minimum value of the j-th inverse evaluation index.

[0129] For example, the above formula (5) and formula (6) are used to perform positive processing on the evaluation results under the positive evaluation index and the negative evaluation index respectively, and the positive processing results x of each candidate site under each positive evaluation index are synthesized. ij_a , and the forward processing results x of each candidate site under each reverse evaluation index ij_b , we can get the positive processing results x′ of each candidate site under each site selection evaluation index ii .

[0130] S303 , dimensionlessly process the forward processing results of each candidate site under each site selection evaluation index to obtain the processed evaluation results of each candidate site under each site selection evaluation index.

[0131] For example, the weight method can be used to perform dimensionless processing on the forward processing results of each candidate site under each site selection evaluation index, as shown in the following formula (7):

[0132]

[0133] Among them, y ji represents the evaluation result of the i-th candidate site under the j-th site selection evaluation index, x′ jj It represents the positive processing result of each candidate site under each site selection evaluation index, and m represents the number of candidate sites in the candidate site set.

[0134] Based on this, by positively and standardizedly processing the evaluation results of each candidate site under each site selection evaluation index, the problems of dimensional differences and inconsistent indicator directions can be eliminated. On this basis, by determining the weight of each indicator through appropriate methods, the importance of each factor in site selection decision can be comprehensively considered, so as to make a more scientific and reasonable decision.

[0135] Figure 4 The following is a flow chart of a method for determining an indicator weight provided in an embodiment of the present application. Figure 4 As shown, the above steps determine the indicator weight of each site selection evaluation indicator according to the processed evaluation results of each candidate site under each site selection evaluation indicator, and specifically include the following steps:

[0136] S401. Determine the evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and the processed evaluation results of each candidate site under each site selection evaluation index.

[0137] For example, the evaluation index entropy value of each candidate site can be determined based on the following formula (8):

[0138]

[0139] Among them, e j represents the entropy value of the evaluation index of each candidate site, y ij It represents the evaluation result of the i-th candidate site under the j-th site selection evaluation index after processing, and m represents the number of candidate sites in the candidate site set.

[0140] S402: Determine the index weight of each site selection evaluation index according to the number of candidate sites in the candidate site set and the evaluation index entropy value of each candidate site.

[0141] For example, the weight of each site selection evaluation index can be determined based on the following formula (9):

[0142]

[0143] Among them, w j represents the weight of each site selection evaluation index, j = 1, 2, 3, ..., n, n represents the number of site selection evaluation indicators, e j It represents the entropy value of the evaluation index of each candidate site, and m represents the number of candidate sites in the candidate site set.

[0144] As a possible implementation method, on the basis of determining the indicator weights of each site selection evaluation indicator, the above steps determine the main evaluation results of each candidate site according to the evaluation results of each candidate site under each main evaluation indicator, including:

[0145] The main evaluation results of each candidate site are determined based on the indicator weights of each main evaluation indicator and the post-processing evaluation results of each candidate site under each main evaluation indicator.

[0146] Optionally, Figure 5 The flowchart of the method for determining the main evaluation results of a candidate site provided in an embodiment of the present application is shown. Figure 5 As shown, the method specifically comprises the following steps:

[0147] S501 , generating a weighted decision matrix corresponding to each candidate site according to the indicator weights of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator.

[0148] For example, the weighted decision matrix is ​​shown in the following formula (10):

[0149] Z=w j *y ij (10)

[0150] Where Z represents the weighted decision matrix, w j Represents the weight of each site selection evaluation index, y ij It represents the evaluation result of the i-th candidate site after processing under the ,th site selection evaluation index.

[0151] S502: Determine the maximum and minimum values ​​of the weighted decision matrix corresponding to each candidate site.

[0152] For example, in combination with the weighted decision matrix shown in the above formula (10), the weighted decision matrix can be a two-dimensional array, in which the rows represent the indicator weights of each site selection evaluation indicator, and the columns represent the evaluation results of the candidate site after processing under each site selection evaluation indicator. On this basis, the maximum value max(z ij ) and the minimum value min(z ij ), and the maximum value of each column in the weighted decision matrix is ​​max(z ij ) and the minimum value min(z ij ) as the maximum and minimum values ​​of the weighted decision matrix.

[0153] S503. Determine the first Euclidean distance corresponding to each candidate site based on the matrix data of the weighted decision matrix corresponding to each candidate site and the maximum value of the weighted decision matrix, and determine the second Euclidean distance corresponding to each candidate site based on the matrix data of the weighted decision matrix corresponding to each candidate site and the minimum value of the weighted decision matrix.

[0154] For example, the maximum value of the weighted decision matrix is ​​taken as the positive ideal solution Right now And the minimum value of the weighted decision matrix is ​​taken as the negative ideal solution Right now On this basis, the Euclidean distances between each candidate site and the positive ideal solution and the negative ideal solution are calculated respectively, and the first Euclidean distance and the second Euclidean distance are obtained.

[0155] Exemplarily, the first Euclidean distance is determined according to the following formula (11):

[0156]

[0157] in, represents the Euclidean distance between each candidate site and the positive ideal solution, that is, the first Euclidean distance corresponding to each candidate site. represents the positive ideal solution, that is, the maximum value of the weighted decision matrix, z ij Represents each data in the weighted decision matrix.

[0158] Exemplarily, the first Euclidean distance is determined according to the following formula (12):

[0159]

[0160] in, represents the Euclidean distance between each candidate site and the negative ideal solution, that is, the second Euclidean distance corresponding to each candidate site. represents the negative ideal solution, that is, the minimum value of the weighted decision matrix, z ij Represents each data in the weighted decision matrix.

[0161] S504: Determine the relative proximity of each candidate site according to the first Euclidean distance and the second Euclidean distance corresponding to each candidate site, and use the relative proximity of each candidate site as a main evaluation result of each candidate site.

[0162] For example, the relative proximity of each candidate site can be determined based on the following formula (13):

[0163]

[0164] Among them, Qi represents the relative proximity of each candidate site, represents the Euclidean distance between each candidate site and the positive ideal solution, that is, the first Euclidean distance corresponding to each candidate site. It represents the Euclidean distance between each candidate site and the negative ideal solution, that is, the second Euclidean distance corresponding to each candidate site.

[0165] Based on this, the relative proximity of each candidate site is calculated according to the distance as the main evaluation result of each candidate site. The main evaluation results of each candidate site can be further ranked to determine the priority of each candidate site.

[0166] Correspondingly, the secondary evaluation results of each candidate site are determined according to the evaluation results of each candidate site under each secondary evaluation indicator. The secondary evaluation results are also determined according to the indicator weights of each secondary evaluation indicator and the processed evaluation results of each candidate site under each secondary evaluation indicator. The specific processing process is the same as the processing process of the above-mentioned main evaluation indicators, which will not be repeated here.

[0167] Based on this, the embodiment of the present application aims at the problem of railway station site selection and, in combination with regional characteristics, constructs a scientific evaluation strategy that includes multiple factors, multiple levels and characteristics, effectively solving key technical problems such as preliminary identification, comprehensive evaluation and optimal selection of railway station site selection, aiming to reduce the construction cost of railway stations and support the comprehensive development of land around the stations, so as to give full play to the advantages of railway stations and better promote the integrated development of stations and cities.

[0168] Based on the same inventive concept, a railway site selection device corresponding to the railway site selection method is also provided in the embodiment of the present application. Since the principle of solving the problem by the railway site selection device in the embodiment of the present application is similar to the above-mentioned railway site selection method in the embodiment of the present application, the implementation of the railway site selection device can refer to the implementation of the railway site selection method, and the repeated parts will not be repeated.

[0169] Reference Figure 6 As shown, it is a schematic diagram of the structure of a railway site selection device provided in an embodiment of the present application, and the railway site selection device 600 includes: an acquisition module 601, a generation module 602, a screening module 603, and a determination module 604, wherein:

[0170] An acquisition module 601 is used to acquire a plurality of initial candidate sites and a plurality of site selection evaluation indicators;

[0171] A generation module 602 is used to generate a constraint layer according to constraint data of each preset constraint, and to generate a candidate site layer according to site data of each initial candidate site, wherein the preset constraint includes: range restriction and site setting environment conditions, the candidate site layer includes geographical location information of each initial candidate site, and the constraint layer includes a buffer layer of each preset constraint;

[0172] A screening module 603 is used to perform superposition analysis on the constraint condition layer and the candidate site layer, screen multiple candidate sites from multiple initial candidate sites, and add the multiple candidate sites to the candidate site set;

[0173] The determination module 604 is used to determine the evaluation results of each candidate site in the candidate site set under each site selection evaluation indicator according to the evaluation strategy of each site selection evaluation indicator, and determine the target site according to the evaluation results of each candidate site under each site selection evaluation indicator.

[0174] Based on this, according to the railway site selection device of the embodiment of the present application, the advantages and disadvantages of railway site selection are reflected based on multiple site selection evaluation indicators, and multiple initial candidate sites are used as multi-source candidate sites. The constraint condition layer is generated by using preset constraints to provide clear boundaries and restrictions for site selection, and the candidate site layer is generated according to the site data of each initial candidate site, and then the candidate site layer is superimposed with the constraint condition layer to screen out candidate sites that meet the constraints and generate a candidate site set. Further, according to the evaluation strategy of each site selection evaluation indicator, each candidate site in the candidate site set obtained by the preliminary screening is quantitatively evaluated to obtain the evaluation results of each candidate site under each site selection evaluation indicator, and then the evaluation results of each candidate site under all site selection evaluation indicators are comprehensively considered to determine the final target site. Based on this, the present application effectively solves the problem that it is difficult to meet the needs of railway site selection work under the background of high-quality development in the prior art by comprehensively considering multiple factors, using GIS technology to achieve precise site selection, and conducting quantitative evaluation and decision support.

[0175] In a possible implementation manner, the multiple site selection evaluation indicators include multiple primary evaluation indicators and multiple secondary evaluation indicators; the above-mentioned determination module 604 is specifically used to:

[0176] According to the evaluation strategy of each main evaluation index, the evaluation result of each candidate site in the candidate site set under each main evaluation index is determined, and according to the evaluation result of each candidate site under each main evaluation index, the main evaluation result of each candidate site is determined;

[0177] If the difference between the main evaluation results of the candidate sites is greater than the preset value, the candidate site with the highest main evaluation result is selected as the target site;

[0178] Otherwise, according to the evaluation strategy of each secondary evaluation indicator, the evaluation results of each candidate site under each secondary evaluation indicator are determined, and according to the evaluation results of each candidate site under each secondary evaluation indicator, the secondary evaluation results of each candidate site are determined, and according to the secondary evaluation results and the primary evaluation results of each candidate site, the target site is determined.

[0179] In a possible implementation manner, the determination module 604 is further configured to:

[0180] The evaluation results of each candidate site under the site selection evaluation index are processed positively and standardized to obtain the processed evaluation results of each candidate site under each site selection evaluation index;

[0181] According to the post-processing evaluation results of each candidate site under each site selection evaluation index, the indicator weight of each site selection evaluation index is determined.

[0182] In a possible implementation manner, the determination module 604 is further configured to:

[0183] According to the meaning of each site selection evaluation index, multiple site selection evaluation indicators are divided into positive evaluation indicators and negative evaluation indicators;

[0184] The evaluation results of each candidate site under the positive evaluation index are positively processed according to the positive evaluation index corresponding positive evaluation index strategy, and the evaluation results of each candidate site under the reverse evaluation index are positively processed according to the positive evaluation index corresponding positive evaluation index strategy, so as to obtain the positive processing results of each candidate site under each site selection evaluation index;

[0185] The forward processing results of each candidate site under each site selection evaluation index are dimensionlessly processed to obtain the processed evaluation results of each candidate site under each site selection evaluation index.

[0186] In a possible implementation manner, the determination module 604 is further configured to:

[0187] According to the number of candidate sites in the candidate site set and the evaluation results of each candidate site after processing under each site selection evaluation index, the evaluation index entropy value of each candidate site is determined;

[0188] According to the number of candidate sites in the candidate site set and the entropy value of the evaluation index of each candidate site, the index weight of each site selection evaluation index is determined.

[0189] In a possible implementation manner, the determination module 604 is further configured to:

[0190] The main evaluation results of each candidate site are determined based on the indicator weights of each main evaluation indicator and the post-processing evaluation results of each candidate site under each main evaluation indicator.

[0191] In a possible implementation manner, the determination module 604 is further configured to:

[0192] According to the indicator weights of each major evaluation indicator and the evaluation results of each candidate site after processing under each major evaluation indicator, a weighted decision matrix corresponding to each candidate site is generated;

[0193] Determine the maximum and minimum values ​​of the weighted decision matrix corresponding to each candidate site;

[0194] Determine the first Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the maximum value of the weighted decision matrix, and determine the second Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the minimum value of the weighted decision matrix;

[0195] The relative proximity of each candidate site is determined according to the first Euclidean distance and the second Euclidean distance corresponding to each candidate site, and the relative proximity of each candidate site is used as the main evaluation result of each candidate site.

[0196] For descriptions of the processing flow of each module in the device and the interaction flow between each module, reference may be made to the relevant descriptions in the above method embodiment, which will not be described in detail here.

[0197] The present application embodiment also provides an electronic device 700, such as Figure 7 As shown, it is a schematic diagram of the structure of an electronic device 700 provided in an embodiment of the present application, including: a processor 701, a memory 702, and optionally, a bus 703. The memory 702 stores machine-readable instructions executable by the processor 701. When the electronic device 700 is running, the processor 701 communicates with the memory 702 through the bus 703. When the machine-readable instructions are executed by the processor 701, the method steps in the railway site selection method described in any one of the above items are executed.

[0198] An embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method steps in the railway site selection method as described in any one of the above items are executed.

[0199] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the method embodiment, and will not be repeated in this application. In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0200] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or part of the technical solution that contributes to the prior art or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Mem ory), disk or optical disk and other media that can store program code.

[0201] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for selecting a railway station site, characterized in that: include: Obtain multiple initial candidate sites and multiple site selection evaluation indicators; Generate a constraint layer according to the constraint data of each preset constraint, and generate a candidate site layer according to the site data of each of the initial candidate sites, wherein the preset constraint includes: range restriction conditions and site setting environment conditions, the candidate site layer includes geographical location information of each of the initial candidate sites, and the constraint layer includes a buffer layer of each of the preset constraint; Performing an overlay analysis on the constraint condition layer and the candidate site layer, screening out multiple candidate sites from the multiple initial candidate sites, and adding the multiple candidate sites to a candidate site set; According to the evaluation strategy of each of the site selection evaluation indicators, the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators are determined, and according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators, the target site is determined.

2. The method according to claim 1, characterized in that The multiple site selection evaluation indicators include multiple main evaluation indicators and multiple secondary evaluation indicators; Determining the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators according to the evaluation strategy of each of the site selection evaluation indicators, and determining the target site according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators, includes: Determine the evaluation results of each candidate site in the candidate site set under each of the main evaluation indicators according to the evaluation strategy of each of the main evaluation indicators, and determine the main evaluation results of each of the candidate sites according to the evaluation results of each of the candidate sites under each of the main evaluation indicators; If the difference between the main evaluation results of the candidate sites is greater than a preset value, the candidate site with the highest main evaluation result is selected as the target site; Otherwise, according to the evaluation strategy of each secondary evaluation indicator, the evaluation result of each candidate site under each secondary evaluation indicator is determined, and according to the evaluation result of each candidate site under each secondary evaluation indicator, the secondary evaluation result of each candidate site is determined, and according to the secondary evaluation result and the primary evaluation result of each candidate site, the target site is determined.

3. The method according to claim 1, characterized in that After determining the evaluation result of each candidate site in the candidate site set under each site selection evaluation indicator according to the evaluation strategy of each site selection evaluation indicator, the method further includes: Performing positive processing and standardization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain the processed evaluation results of each candidate site under each site selection evaluation index; The indicator weight of each of the site selection evaluation indicators is determined according to the processed evaluation results of each of the candidate sites under each of the site selection evaluation indicators.

4. The method according to claim 3, characterized in that The evaluation results of each candidate site under each site selection evaluation index are subjected to positive processing and standardization processing to obtain the processed evaluation results of each candidate site under each site selection evaluation index, including: According to the meaning of each of the site selection evaluation indicators, the multiple site selection evaluation indicators are divided into positive evaluation indicators and negative evaluation indicators; Performing positive processing on the evaluation results of each candidate site under the positive evaluation index according to the positive strategy corresponding to the positive evaluation index, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation index according to the positive strategy corresponding to the reverse evaluation index, to obtain the positive processing results of each candidate site under each site selection evaluation index; The forward processing results of each candidate site under each site selection evaluation index are dimensionlessly processed to obtain the processed evaluation results of each candidate site under each site selection evaluation index.

5. The method according to claim 3, characterized in that: Determining the indicator weight of each of the site selection evaluation indicators according to the processed evaluation results of each of the candidate sites under each of the site selection evaluation indicators includes: Determine the evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and the processed evaluation results of each candidate site under each site selection evaluation index; The indicator weight of each of the site selection evaluation indicators is determined according to the number of the candidate sites in the candidate site set and the evaluation indicator entropy value of each of the candidate sites.

6. The method according to claim 2, characterized in that Determining the main evaluation result of each candidate site according to the evaluation result of each candidate site under each main evaluation indicator includes: The main evaluation result of each candidate site is determined according to the indicator weight of each main evaluation indicator and the processed evaluation result of each candidate site under each main evaluation indicator.

7. The method according to claim 6, characterized in that Determining the main evaluation results of each candidate site according to the indicator weights of each main evaluation indicator and the evaluation results of each candidate site after processing under each main evaluation indicator includes: Generate a weighted decision matrix corresponding to each of the candidate sites according to the indicator weights of each of the main evaluation indicators and the processed evaluation results of each of the candidate sites under each of the main evaluation indicators; Determine the maximum and minimum values ​​of the weighted decision matrix corresponding to each of the candidate sites; Determine the first Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the maximum value of the weighted decision matrix, and determine the second Euclidean distance corresponding to each candidate site according to the matrix data of the weighted decision matrix corresponding to each candidate site and the minimum value of the weighted decision matrix; The relative proximity of each of the candidate sites is determined according to the first Euclidean distance and the second Euclidean distance corresponding to each of the candidate sites, and the relative proximity of each of the candidate sites is used as a main evaluation result of each of the candidate sites.

8. A railway station site selection device, characterized in that: include: An acquisition module, used to acquire multiple initial candidate sites and multiple site selection evaluation indicators; A generation module, used to generate a constraint condition layer according to the constraint condition data of each preset constraint condition, and to generate a candidate site layer according to the site data of each of the initial candidate sites, wherein the preset constraint condition includes: range restriction condition and site setting environment condition, the candidate site layer includes the geographical location information of each of the initial candidate sites, and the constraint condition layer includes a buffer layer of each of the preset constraint conditions; A screening module, used for performing superposition analysis on the constraint condition layer and the candidate site layer, screening out multiple candidate sites from the multiple initial candidate sites, and adding the multiple candidate sites to a candidate site set; The determination module is used to determine the evaluation results of each candidate site in the candidate site set under each of the site selection evaluation indicators according to the evaluation strategy of each of the site selection evaluation indicators, and determine the target site according to the evaluation results of each of the candidate sites under each of the site selection evaluation indicators.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor executes the machine-readable instructions to perform the steps of the railway site selection method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the railway station site selection method as claimed in any one of claims 1 to 7 are executed.

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