A railway site selection method and device, electronic equipment and storage medium

Abstract

The application provides a railway site selection method and device, electronic equipment and storage medium, and relates to the technical field of geographic information. The method comprises the following steps: obtaining a plurality of initial candidate sites and a plurality of site selection evaluation indexes; generating a constraint condition layer according to constraint condition data of each preset constraint condition, and generating a candidate site layer according to site data of each initial candidate site; performing superposition analysis on the constraint condition layer and the candidate site layer, screening a plurality of candidate sites, and adding the plurality of candidate sites to a candidate site set; determining evaluation results of each candidate site in the candidate site set under each site selection evaluation index according to an evaluation strategy of each site selection evaluation index, and determining a target site according to the evaluation results of each candidate site under each site selection evaluation index. The application effectively solves the problem that the prior art cannot meet the demand of railway site selection work under the background of high-quality development by precise site selection, quantitative evaluation and decision support.

Description

Technical Field

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

[0002] Railways are critical infrastructure for the national economy. The site selection of railway stations not only affects the operational efficiency of the railway system but also profoundly impacts the economic development, spatial layout, and social well-being of cities along the lines. Therefore, scientific and rational site selection techniques are crucial for promoting regional integration and driving high-quality economic development.

[0003] Currently, railway station site selection relies primarily on traditional qualitative judgment and mathematical calculations, focusing on the station's own engineering and technical conditions, such as geological stability, construction difficulty, and line alignment, and assessing the feasibility of the site through a series of engineering standards. However, these traditional methods often overlook the complexity and diversity of site selection, particularly factors such as the degree of coordination with the planning and construction of the city where the site is located and the development potential of the surrounding area. This can lead to irrational planning and design of railway stations, failure to achieve the expected development and construction results, and difficulty in meeting 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 station site selection method, device, electronic device and storage medium to address the deficiencies in the above-mentioned existing technologies, so as to solve the problem that the existing technologies are difficult to meet the needs of railway station site selection work in the context of high-quality development.

[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of the present application are 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 in the context of high-quality development, the method comprising:

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

[0008] Generating a constraint layer based on constraint data of each preset constraint, and generating a candidate site layer based on site data of each initial candidate site, wherein the preset constraint comprises: range restriction and site setting environment conditions, the candidate site layer comprises geographic location information of each initial candidate site, and the constraint layer comprises a buffer layer of each preset constraint;

[0009] Performing an overlay analysis on the constraint condition layer and the candidate site layer, screening to obtain 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 site selection evaluation index, the evaluation result of each candidate site in the candidate site set under each site selection evaluation index is determined, and the target site is determined according to the evaluation result of each candidate site under each site selection evaluation index.

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

[0012] Determining, based on the evaluation strategy of each of the site selection evaluation indicators, an evaluation result of each candidate site in the candidate site set under each of the site selection evaluation indicators, and determining a target site based on the evaluation result of each of the candidate sites under each of the site selection evaluation indicators, includes:

[0013] Determining, according to the evaluation strategy of each of the main evaluation indicators, an evaluation result of each candidate site in the candidate site set under each of the main evaluation indicators, and determining, according to the evaluation result of each candidate site under each of the main evaluation indicators, a main evaluation result of each candidate site;

[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 of the secondary evaluation indicators, the evaluation results of each of the candidate sites under each of the secondary evaluation indicators are determined, and according to the evaluation results of each of the candidate sites under each of the secondary evaluation indicators, the secondary evaluation results of each of the candidate sites are determined, and according to the secondary evaluation results and primary evaluation results of each of the candidate sites, 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 normalization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain a processed evaluation result 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 indicator are subjected to positive processing and normalization processing to obtain the processed evaluation results of each candidate site under each site selection evaluation indicator, 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 indicator according to the positive evaluation strategy corresponding to the positive evaluation indicator, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation indicator according to the positive evaluation strategy corresponding to the reverse evaluation indicator, to obtain the positive processing results of each candidate site under each site selection evaluation indicator;

[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, determining 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 includes:

[0024] Determining an evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and a processed evaluation result of each candidate site under each site selection evaluation index;

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

[0026] As a possible implementation, 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 results of each candidate site based on the indicator weights of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator includes:

[0029] Generating a weighted decision matrix corresponding to each candidate site according to the indicator weight of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator;

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

[0031] Determining a first Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a maximum value of the weighted decision matrix, and determining a second Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a minimum value of the weighted decision matrix;

[0032] 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 a main evaluation result of each candidate site.

[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 obtain multiple initial candidate sites and multiple site selection evaluation indicators;

[0035] a generation module, configured to generate a constraint layer based on constraint data of each preset constraint, and generate a candidate site layer based on site data of each initial candidate site, wherein the preset constraint comprises: a range restriction and a site setting environment, the candidate site layer comprises geographic location information of each initial candidate site, and the constraint layer comprises a buffer layer for each preset constraint;

[0036] a screening module, configured to perform an overlay analysis on the constraint condition layer and the candidate site layer, screen the plurality of initial candidate sites to obtain a plurality of candidate sites, and add the plurality of 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 candidate site under each of the site selection evaluation indicators.

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

[0039] Determining, according to the evaluation strategy of each of the main evaluation indicators, an evaluation result of each candidate site in the candidate site set under each of the main evaluation indicators, and determining, according to the evaluation result of each candidate site under each of the main evaluation indicators, a main evaluation result of each candidate site;

[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 of the secondary evaluation indicators, the evaluation results of each of the candidate sites under each of the secondary evaluation indicators are determined, and according to the evaluation results of each of the candidate sites under each of the secondary evaluation indicators, the secondary evaluation results of each of the candidate sites are determined, and according to the secondary evaluation results and primary evaluation results of each of the candidate sites, the target site is determined.

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

[0043] Performing positive processing and normalization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain a processed evaluation result 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 configured 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 indicator according to the positive evaluation strategy corresponding to the positive evaluation indicator, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation indicator according to the positive evaluation strategy corresponding to the reverse evaluation indicator, to obtain the positive processing results of each candidate site under each site selection evaluation indicator;

[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 configured to:

[0050] Determining an evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and a processed evaluation result of each candidate site under each site selection evaluation index;

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

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

[0055] Generating a weighted decision matrix corresponding to each candidate site according to the indicator weight of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator;

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

[0057] Determining a first Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a maximum value of the weighted decision matrix, and determining a second Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a minimum value of the weighted decision matrix;

[0058] 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 a main evaluation result of each candidate site.

[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. When the electronic device is running, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to perform the steps of the railway station 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 having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the railway station site selection method as described in any one of the above-mentioned first aspects 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 layer is generated based on the constraint data of each preset constraint condition, and a candidate site layer is generated based on the site data of each initial candidate site; the constraint layer and the candidate site layer are superimposed and analyzed, multiple candidate sites are screened from the multiple initial candidate sites, and the 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 based on the evaluation results of each candidate site under each site selection evaluation indicator. According to the embodiment of the present application, the quality of railway site selection is reflected based on multiple site selection evaluation indicators, and multiple initial candidate sites are used as multi-source candidate sites. The constraint layer is generated using the preset constraint conditions to provide clear boundaries and restrictions for site selection, and the 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 layer to screen out candidate sites that meet the constraints and 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 in the context 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 following is a brief introduction to the drawings required for use in the embodiments. 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 relevant drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 A schematic diagram of a process for selecting a railway station site according to an embodiment of the present application is shown;

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

[0065] Figure 3 A schematic diagram showing a flow chart of an evaluation result processing method provided in an embodiment of the present application is shown;

[0066] Figure 4 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 structural diagram 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] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions 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 illustration 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 to scale. The flowcharts used in this application illustrate the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps without logical context can be reversed or implemented simultaneously. In addition, those skilled in the art, under the guidance of the contents of this application, can add one or more other operations to the flowchart, 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 of the embodiments. The components of the embodiments of the present application generally 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 claimed application, but merely represents 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 are within 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 figure shows a flow chart of a railway station site selection method provided by an embodiment of the present application. Figure 1As shown in FIG, the method is applied to the Geographic Information System (GIS) analysis platform and specifically includes the following steps:

[0074] S101. Acquire 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 primary evaluation indexes and multiple secondary evaluation indexes.

[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 the constraint data of each preset constraint, and generate a candidate site layer according to the site data of each initial candidate site.

[0081] Optionally, the preset constraints include: range restriction conditions and station setting environment conditions. For example, the preset constraints 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 for each preset constraint. For example, the candidate site layer converts the geographic location information (e.g., longitude and latitude) of each initial candidate site into points or areas on a map, and the preset condition layer is a buffer layer generated based on the preset constraint conditions. The buffer zone is a spatial region surrounding the constraint conditions, indicating that site selection within this region will be restricted.

[0085] Optionally, create a new geodatabase within the GIS analysis platform to store and manage all site selection-related data. Import the constraints affecting site selection into the geodatabase, establish buffer zones for each constraint, and generate a layer containing all constraints based on these buffer zones. This layer, referred to as the constraint layer, is then used 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 to not meet the site selection requirements and will be removed from the candidate site list. Based on this, sites that do not meet any of the preset constraints are screened out, and sites that meet all the preset constraints are left as candidate sites for further evaluation, resulting in a set of candidate sites.

[0088] S104 , determining 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 determining 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 based on 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. A constraint 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. The candidate site layer is then superimposed with the constraint layer to screen out candidate sites that meet the constraints and generate a candidate site set. Furthermore, 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 FIG2 shows a flow chart of a target site determination method provided by 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] For example, 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 under 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 key platforms in the surrounding cities. represents the horizontal coordinate of candidate site i, represents the vertical coordinate 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 vertical coordinate of the jth key platform in the surrounding city.

[0096] For example, for the urban location indicator layer, the evaluation strategy for the indicator factor "Degree of Urban Development Coordination" involves analyzing the urban spatial structure based on national land space planning, scoring each of the three dimensions: coordination with urban service centers, coordination with urban development axes, and coordination with urban functional areas. This score is then used to reflect the degree of urban development coordination. The evaluation strategy for the indicator factor "Population Service Scale" involves calculating population data, such as demographic yearbooks and Baidu Maps' 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, detailed spatial information about a specific area is obtained, and then calculated through the structured prediction method of the Delphi method.

[0098] For example, for the main evaluation indicator of "external road traffic convenience" under the traffic conditions 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 conditions 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). The intersection area of ​​the reachable range and the central city range is taken to calculate 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 area. 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 connections from the candidate site to the geometric center of the surrounding area, the coverage of the reachable range of the candidate site within the 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 (that is, a preset value, such as 10), then it is considered that the difference between the candidate sites is significant, and the candidate site with the highest evaluation result is obviously better than other candidate sites. 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 the preset value, 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 on 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] For example, in combination with the secondary evaluation indicators shown in Table 2 above, for the secondary evaluation indicators under the development resources indicator layer, the corresponding evaluation strategy is to determine the land scale information of each candidate site, including the incremental construction land scale and the transformation land scale. Specifically, with a preset distance of 2 kilometers, a 2-kilometer buffer zone is established for the candidate site, and a candidate site buffer layer is generated. In the GIS analysis platform, the buffer 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 land market potential indicator layer, the corresponding evaluation strategy is to establish a 5-kilometer buffer zone for the candidate site, generate a buffer layer for the candidate site, and calculate the land market value within the buffer zone. For the secondary evaluation indicators under the industrial resources indicator layer, the corresponding evaluation strategy is to establish a 5-kilometer buffer zone for the candidate site, generate a buffer layer for the candidate site, and calculate the number of enterprises and the proportion of science and technology innovation enterprise types within the buffer zone. For the secondary evaluation indicator under the travel vitality indicator layer, the corresponding evaluation strategy is to establish a 10-kilometer buffer zone for candidate sites, generate a buffer zone layer for the candidate sites, and count the number of tourist attractions and population travel volume within the buffer zone, which is also known as the thermal value. For the secondary evaluation indicator under the supporting services indicator layer, the corresponding evaluation strategy is to conduct a kernel density analysis of public and commercial services in the urban area of ​​the candidate sites in the GIS analysis platform, generate public service density layers and commercial service density layers, and calculate the density of public service facilities and commercial service facilities within 5 kilometers of the candidate sites.

[0112] In summary, based on the evaluation strategy 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 differences are significant, the candidate site with the highest evaluation result can be directly selected as the target site. If the differences are not significant and the target site cannot be directly determined, 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 determining 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 in step S104, the method further includes:

[0115] The evaluation results of each candidate site under each site selection evaluation index are forward 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, forward processing refers to unifying the scores of all site selection evaluation indicators into positive indicators. Site selection evaluation indicators generally include positive evaluation indicators and negative evaluation indicators. Positive evaluation indicators mean that the larger the value, the better the candidate site performs on the indicator. Negative evaluation indicators are the opposite, meaning that the smaller the value, the better the candidate site performs on the indicator. Forward processing is to unify all site selection evaluation indicators into positive evaluation indicators, that is, to ensure that an increase in the value of all site selection evaluation indicators indicates an improvement in the candidate site's performance on the indicator.

[0117] Optionally, standardization involves converting the scores of each candidate site under each site selection evaluation metric to the same scale. Because the scales and value ranges of each site selection evaluation metric may differ, directly comparing and evaluating the performance of each candidate site on each metric is unfair. Standardization eliminates these dimensional differences and converts the corresponding evaluation results to the same scale.

[0118] Figure 3 The following is a flow chart showing a method for processing evaluation results provided by an embodiment of the present application. Figure 3 As shown, the above steps perform positive processing and normalization 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. Divide the multiple site selection evaluation indicators into positive evaluation indicators and negative evaluation indicators according to the meaning of each site selection evaluation indicator.

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

[0121] For example, combining the main evaluation indicators shown in Table 1 and the secondary evaluation indicators shown in Table 2, the meaning of each site selection evaluation indicator is the same as the interpretation of each evaluation indicator recorded in Tables 1 and 2. Taking the main evaluation indicator of "external road traffic convenience" under the indicator level of traffic conditions in Table 1 as an example, the meaning of this main evaluation indicator is "road traffic connection time between the station and the surrounding district and county high-speed rail stations." It can be understood that the higher the traffic convenience, the better the traffic conditions of the station. Therefore, the higher the score corresponding to the main evaluation indicator of "external road traffic convenience", the more convenient the traffic. Therefore, the main evaluation indicator of "external road traffic convenience" 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 evaluation index corresponding positive evaluation index strategy, and perform positive processing on the evaluation results of each candidate site under the reverse evaluation index according to the positive evaluation index corresponding positive evaluation index strategy, and 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 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 Indicates 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 index.

[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 Indicates 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 reverse 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 forward processing results x′ of each candidate site under each site selection evaluation index ii .

[0130] S303 : Perform dimensionless processing on 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 normalizing and standardizing the evaluation results of each candidate site under each site selection evaluation indicator, we can eliminate the problems of dimensional differences and inconsistent indicator directions. On this basis, by using appropriate methods to determine the weights of each indicator, we can comprehensively consider the importance of each factor in site selection, thereby making more scientific and reasonable decisions.

[0135] Figure 4 The following is a flow chart showing a method for determining an indicator weight provided by an embodiment of the present application. Figure 4 As shown, the above steps determine the indicator weight of each site selection evaluation indicator based on 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 Indicates 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 indicator weight of each site selection evaluation indicator according to the number of candidate sites in the candidate site set and the evaluation indicator entropy value of each candidate site.

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

[0142]

[0143] Among them, w j Indicates 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, based on determining the indicator weights of each site selection evaluation indicator, the above steps determine the main evaluation results of each candidate site based on 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 by an embodiment of the present application is shown. Figure 5 As shown, the method specifically includes the following steps:

[0147] S501 : Generate a weighted decision matrix corresponding to each candidate site based on 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] Among them, Z represents the weighted decision matrix, w j Indicates 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 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 mentioned above are obtained.

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

[0156]

[0157] in, It 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, 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. 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 based on 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, It 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 based on the evaluation results of each candidate site under each secondary evaluation indicator. They are also determined based on 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, and 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 FIG. 6 is a schematic diagram of a railway site selection device according to an embodiment of the present application. 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 configured to generate a constraint layer based on the constraint data of each preset constraint, and to generate a candidate site layer based on the site data of each initial candidate site, wherein the preset constraint includes: range restriction and site setting environment conditions; the candidate site layer includes the geographic location information of each initial candidate site; and the constraint layer includes a buffer layer for each preset constraint.

[0172] A screening module 603 is configured to perform an overlay analysis on the constraint condition layer and the candidate site layer, screen multiple candidate sites from the 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 pros and cons 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. A constraint 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. Then, the candidate site layer is superimposed with the constraint layer to screen out candidate sites that meet the constraints and generate a candidate site set. Furthermore, 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.

[0175] In one possible implementation, the multiple site selection evaluation indicators include multiple primary evaluation indicators and multiple secondary evaluation indicators; the determination module 604 is specifically configured to:

[0176] 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 results of each candidate site according to the evaluation results of each candidate site under each main evaluation indicator;

[0177] If the difference between the main evaluation results of each candidate site is greater than the preset value, the candidate site with the highest main evaluation result will be 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 primary evaluation results of each candidate site, the target site is determined.

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

[0187] Determine the entropy value of the evaluation index of each candidate site 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;

[0188] The indicator weight of each site selection evaluation indicator is determined according to the number of candidate sites in the candidate site set and the evaluation indicator entropy value of each candidate site.

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

[0192] Based on the indicator weights of each major evaluation indicator and the evaluation results of each candidate site 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 can be made to the relevant descriptions in the above method embodiment, which will not be described in detail here.

[0197] The embodiment of the present application further provides an electronic device 700, such as Figure 7 As shown, a schematic diagram of the structure of an electronic device 700 provided in an embodiment of the present application includes: 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 via the bus 703. When the machine-readable instructions are executed by the processor 701, the method steps of the railway site selection method as described in any of the above items are performed.

[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 station site selection method as described above are executed.

[0199] Those skilled in the art can clearly understand that, for the convenience and brevity 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 the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling 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 various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

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

Claims

1. A railway station site selection method, characterized in that: include: Acquire multiple initial candidate sites and multiple site selection evaluation indicators, wherein the multiple site selection evaluation indicators include multiple primary evaluation indicators and multiple secondary evaluation indicators; Generating a constraint layer based on constraint data of each preset constraint, and generating a candidate site layer based on site data of each initial candidate site, wherein the preset constraint comprises: range restriction and site setting environment conditions, the candidate site layer comprises geographic location information of each initial candidate site, and the constraint layer comprises a buffer layer of each preset constraint; Performing an overlay analysis on the constraint condition layer and the candidate site layer, screening to obtain multiple candidate sites from the multiple initial candidate sites, and adding the multiple candidate sites to a candidate site set; Determining, according to the evaluation strategy of each of the main evaluation indicators, an evaluation result of each candidate site in the candidate site set under each of the main evaluation indicators, and determining, according to the evaluation result of each candidate site under each of the main evaluation indicators, a main evaluation result of each candidate site; If the difference between the primary evaluation results of the candidate sites is greater than a preset value, the candidate site with the highest primary evaluation result is selected as the target site; otherwise, the evaluation results of the candidate sites under the secondary evaluation indicators are determined according to the evaluation strategies of the secondary evaluation indicators, and the secondary evaluation results of the candidate sites are determined according to the evaluation results of the candidate sites under the secondary evaluation indicators, and the target site is determined according to the secondary evaluation results and the primary evaluation results of the candidate sites; The overlay analysis of 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 includes: overlaying the constraint condition layer and the candidate site layer, determining candidate sites that meet all constraint conditions through spatial analysis, comparing the position of each initial candidate site with the preset condition layer, determining initial candidate sites that are located within the constraint conditions and intersect with the preset condition layer, obtaining an overlay analysis result, determining the initial candidate sites that intersect with the constraint condition layer based on the overlay analysis result, and removing the intersecting initial candidate sites from the candidate site list, screening out sites that do not meet any preset constraint conditions, retaining sites that meet all preset constraints as candidate sites, and obtaining a candidate site set.

2. The method according to claim 1, characterized in that After determining 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, the method further includes: Performing positive processing and normalization processing on the evaluation results of each candidate site under each site selection evaluation index to obtain a processed evaluation result 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.

3. The method according to claim 2, characterized in that The positive processing and normalization processing of the evaluation results of each candidate site under each site selection evaluation index are performed 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 indicator according to the positive evaluation strategy corresponding to the positive evaluation indicator, and performing positive processing on the evaluation results of each candidate site under the reverse evaluation indicator according to the positive evaluation strategy corresponding to the reverse evaluation indicator, to obtain the positive processing results of each candidate site under each site selection evaluation indicator; 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.

4. The method according to claim 2, 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: Determining an evaluation index entropy value of each candidate site according to the number of candidate sites in the candidate site set and a processed evaluation result of each candidate site under each site selection evaluation index; The indicator weight of each site selection evaluation indicator is determined according to the number of the candidate sites in the candidate site set and the evaluation indicator entropy value of each candidate site.

5. The method according to claim 1, wherein 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.

6. The method according to claim 5, characterized in that Determining the main evaluation results of each candidate site based on the indicator weights of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator includes: Generating a weighted decision matrix corresponding to each candidate site according to the indicator weight of each main evaluation indicator and the processed evaluation results of each candidate site under each main evaluation indicator; Determining the maximum and minimum values ​​of the weighted decision matrix corresponding to each of the candidate sites; Determining a first Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a maximum value of the weighted decision matrix, and determining a second Euclidean distance corresponding to each candidate site based on matrix data of a weighted decision matrix corresponding to each candidate site and a minimum value of the weighted decision matrix; 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 a main evaluation result of each candidate site.

7. A railway station site selection device, characterized in that: include: An acquisition module, configured to acquire a plurality of initial candidate sites and a plurality of site selection evaluation indicators, wherein the plurality of site selection evaluation indicators include a plurality of primary evaluation indicators and a plurality of secondary evaluation indicators; a generation module, configured to generate a constraint layer based on constraint data of each preset constraint, and generate a candidate site layer based on site data of each initial candidate site, wherein the preset constraint comprises: a range restriction and a site setting environment, the candidate site layer comprises geographic location information of each initial candidate site, and the constraint layer comprises a buffer layer for each preset constraint; a screening module, configured to perform an overlay analysis on the constraint condition layer and the candidate site layer, screen the plurality of initial candidate sites to obtain a plurality of candidate sites, and add the plurality of candidate sites to a candidate site set; a determination module, configured to determine, based on the evaluation strategy of each primary evaluation indicator, an evaluation result of each candidate site in the candidate site set under each primary evaluation indicator, and determine, based on the evaluation result of each candidate site under each primary evaluation indicator, a primary evaluation result of each candidate site; if the difference between the primary evaluation results of each candidate site is greater than a preset value, select the candidate site with the highest primary evaluation result as the target site; otherwise, determine, based on the evaluation strategy of each secondary evaluation indicator, an evaluation result of each candidate site under each secondary evaluation indicator, and determine, based on the evaluation result of each candidate site under each secondary evaluation indicator, a secondary evaluation result of each candidate site, and determine the target site based on the secondary evaluation results and the primary evaluation results of each candidate site; The screening module is specifically configured to overlay the constraint condition layer and the candidate site layer, determine candidate sites that meet all constraint conditions through spatial analysis, compare the location of each initial candidate site with the preset condition layer, determine initial candidate sites that are located within the constraint conditions and intersect with the preset condition layer, obtain an overlay analysis result, determine the initial candidate sites that intersect with the constraint condition layer based on the overlay analysis result, remove the intersecting initial candidate sites from the candidate site list, screen out sites that do not meet any preset constraint conditions, retain sites that meet all preset constraint conditions as candidate sites, and obtain a candidate site set.

8. 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 station site selection method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the railway station site selection method according to any one of claims 1 to 6.

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