Subway station domain comprehensive development time sequence determination method based on land potential

By adopting a comprehensive development timing determination method based on land potential, and utilizing multi-dimensional indicators and dynamic correction algorithms, the resource mismatch problem caused by subjective decision-making in subway station area development is solved, and scientific resource allocation and development priority sorting are achieved.

CN120706798APending Publication Date: 2025-09-26SUZHOU PLANNING & DESIGN RES INST CO LTD
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Patent Information

Application Number
CN202510826407.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-19
Publication Date
2025-09-26

AI Technical Summary

Technical Problem

The comprehensive development of existing subway station areas relies on subjective judgment, leading to resource mismatch risks and irreversibility, and lacks quantitative basis and scientific decision-making support.

Method used

A comprehensive development timing determination method based on land potential uses indicators such as transportation network accessibility, site comprehensive energy level, and land development difficulty, combined with the AHP evaluation model and dynamic correction algorithm to calculate the comprehensive score and determine the development priority.

Benefits of technology

Provide quantitative basis, reduce the limitations of subjective decision-making, optimize resource allocation, support scientific decision-making, and ensure the rationality and effectiveness of development schedule.

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Abstract

The invention relates to a subway station domain comprehensive development time sequence determination method based on land potential, and belongs to the field of subway station domain comprehensive development decision, and the method comprises the steps: receiving an evaluation instruction provided by a user, and obtaining the corresponding index data of all evaluated stations in the evaluation instruction based on a preset index; the preset indexes at least comprise traffic network accessibility, station comprehensive energy level and land development difficulty; the index data is data corresponding to the preset index; obtaining a preset weight value corresponding to each preset index, and calculating to obtain a comprehensive score corresponding to each evaluated site in combination with the index data of the evaluated site; and determining development priorities for all the assessed sites according to the comprehensive scores, and outputting an assessment result with the comprehensive scores and the development priorities of all the assessed sites for a user to know. The method has the advantages that limitation caused by subjective decision-making comprehensive development of the subway station domain is reduced, and objectivity and reasonability of land potential evaluation of the subway station domain are optimized.
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Description

Technical Field

[0001] The present application relates to the field of comprehensive development decision-making for subway station areas, and in particular to a method for determining the timing of comprehensive development of subway station areas based on land potential. Background Art

[0002] Metro station areas are broad, targeted, and highly implementable. Comprehensive development of these areas broadens investment and financing channels for metro stations, using revenue from comprehensive station development to support metro construction and operations. This can, on the one hand, trigger a premium for land along the line, boosting the value of land surrounding metro stations; on the other hand, it can enhance the functional connotations of urban spaces and better guide urban development.

[0003] In the past, the comprehensive development of subway station areas often relied on the subjective judgment of managers. However, the cost of comprehensive development of subway station areas is relatively high. Decisions that rely solely on subjective judgment have certain risks of resource mismatch and irreversibility of investment and construction, so there is room for improvement. Summary of the Invention

[0004] In order to reduce the limitations caused by subjective decision-making on the comprehensive development of subway station areas, this application provides a method for determining the timing of comprehensive development of subway station areas based on land potential.

[0005] In the first aspect, this application provides a method for determining the timing of comprehensive development of subway station areas based on land potential, using the following technical solutions: Receive an evaluation instruction from a user, and based on preset indicators, obtain corresponding indicator data for all evaluated sites in the evaluation instruction; wherein the preset indicators include at least transportation network accessibility, site comprehensive energy level, and land development difficulty; and the indicator data is data corresponding to the preset indicators; Obtaining the preset weight value corresponding to each preset indicator, and combining the indicator data of the evaluated site to calculate the comprehensive score corresponding to each evaluated site; According to the size of the comprehensive score, the development priority is determined for all evaluated sites, and the evaluation results with the comprehensive scores and development priorities of all evaluated sites are output for users to know.

[0006] By adopting the above technical solutions, the three major indicators of transportation network accessibility, station comprehensive energy level and land development difficulty are used to cover economic, social and environmental multi-dimensional goals. The comprehensive score is calculated based on preset weights and standardized data, which reduces the deviation of human intervention, outputs a clear priority ranking, directly supports land development decisions, provides a quantitative basis for the comprehensive development plan of subway station areas, reduces the limitations caused by subjective decision-making on the comprehensive development of subway station areas, and effectively supports the effective allocation of subway investment, construction and development resources at the municipal level, thereby scientifically assisting subway-related decision-making work.

[0007] Optionally, the preset indicators are divided into several first-level indicators and second-level indicators contained in each first-level indicator, among which the transportation network accessibility, site comprehensive energy level, and land development difficulty are first-level indicators.

[0008] By adopting the above technical solutions, the land renewal potential of subway station areas is decomposed into three primary indicators for the first time, and specific secondary indicators are further set for each primary indicator, forming a multi-level and scientifically complete evaluation dimension.

[0009] Optionally, each of the secondary indicators corresponds to a preset weight value, and the preset weight value is calculated by a pre-built AHP evaluation model and obtained after consistency verification.

[0010] By adopting the above technical solutions, the scientific nature of the weight values ​​is ensured through AHP consistency verification, and the comparability problem of multi-source data is solved by combining town flowers and standardization processing.

[0011] Optionally, obtaining a preset weight value corresponding to each preset indicator and calculating a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site may include: Obtain the preset weight value corresponding to each secondary indicator; Based on the indicator data of all evaluated sites, the dispersion and discrimination of each secondary indicator are calculated; If at the current moment, there exists a secondary indicator that satisfies: the degree of discreteness is less than the preset discreteness threshold or the degree of discrimination is less than the preset discrimination threshold, then the weight value corresponding to the secondary indicator that meets the preset correction condition is corrected by the preset dynamic correction algorithm; Based on the policy content obtained in real time, the policy direction is updated in real time. If the policy direction at the current moment changes compared to the policy direction at the time of the most recent weight value correction processing, the weight value of the secondary indicator that matches the policy direction is increased through the preset dynamic correction algorithm; Replace the pre-stored initial weights with the corrected weight values; Based on the weight value corresponding to each secondary indicator and combined with the indicator data of the evaluated site, the comprehensive score corresponding to each evaluated site is calculated.

[0012] By adopting the above technical solution, considering that the weights calculated by traditional AHP are static weights, they cannot reflect the actual data distribution or dynamic policy changes. For example, the passenger flow index data of all stations in a certain area are very different (for example, they are all between 10,000 and 12,000 people / day). At this time, the corresponding preset weight value may overestimate the indicator differentiation of the corresponding indicator; for example, if an emergency policy requires the priority development of low-efficiency land, the weight value of the corresponding secondary indicator needs to be increased. In this case, this solution further realizes the dynamic correction of the weight value through data-driven or policy intervention on the basis of AHP static weight, forming a hybrid weight system of "basic weight + dynamic adjustment coefficient" to balance human subjective experience and data observability, and support temporary policy intervention and long-term data evolution.

[0013] Optionally, obtaining a preset weight value corresponding to each preset indicator and calculating a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site may also include: According to the fluctuation range of the indicator data of all secondary indicators monitored in real time over time, if the fluctuation range at the current moment exceeds the preset amplitude threshold, the weight value corresponding to the secondary indicator that meets the preset correction conditions will be corrected through the preset dynamic correction algorithm.

[0014] By adopting the above technical solution, the fluctuation trend of the indicator data can be monitored in real time. If the fluctuation amplitude changes significantly (that is, exceeds the preset amplitude threshold), all initial weight values ​​will be reconsidered and adjusted to further realize dynamic adjustment of the weight value and optimize the calculation accuracy and timeliness of the comprehensive score.

[0015] Optionally, the output includes the evaluation results of the comprehensive scores and development priorities of all evaluated sites, and previously also includes: Whenever the comprehensive scores of all evaluated sites are calculated, it is determined whether there is a target site list that satisfies: the difference in comprehensive scores corresponding to all target evaluated sites included in the target site list is not greater than a preset difference; If so, then, based on the indicator data corresponding to all the target evaluated sites, a match is made for each target evaluated site in the target site list to determine whether a corresponding significant difference indicator exists, where the significant difference indicator is a secondary indicator whose indicator data distinguishes the corresponding target site from other target evaluated sites in the target site list; If the match is successful, all target evaluated sites in the target site list are reordered so that target evaluated sites that are successfully matched to obtain significant difference indicators are ordered before target evaluated sites that are not successfully matched to obtain significant difference indicators.

[0016] By adopting the above technical solution, all evaluated sites (i.e., target evaluated sites) with similar comprehensive scores (i.e., the difference in comprehensive scores is not greater than the preset difference) are differentiated and distinguished by screening significant difference indicators, so as to highlight the differences between the target evaluated sites, break through the sorting ambiguity when the comprehensive scores are similar, and provide a data-driven segmentation basis.

[0017] Optionally, each secondary indicator further corresponds to an indicator type, which is divided into a dynamic indicator type and a static indicator type; The obtaining of corresponding indicator data of all evaluated sites in the evaluation instruction includes: For the secondary indicators of the static indicator type, obtain the indicator data corresponding to the secondary indicators of the static indicator type at the current moment for all evaluated sites in the evaluation instruction; For the secondary indicators of the dynamic indicator type, obtain all the indicator data corresponding to the secondary indicators of the dynamic indicator type within the specified time period before the current moment for all the evaluated sites in the evaluation instruction, calculate the mean and standard deviation, and generate the indicator data of the secondary indicators of the dynamic indicator type in the form of intervals.

[0018] By adopting the above technical solution, dynamic indicators that change over time are represented by interval values, thereby improving the comprehensiveness of the collection and analysis of indicator data. The corresponding subsequent comprehensive scores are also expressed in interval form, thereby achieving a global analysis and evaluation of the site.

[0019] In a second aspect, the present application provides a system for determining the timing of comprehensive development of subway stations based on land potential, which is characterized by including: An indicator data acquisition module is configured to receive an evaluation instruction submitted by a user and, based on preset indicators, acquire the corresponding indicator data for all evaluated sites in the evaluation instruction; wherein the preset indicators include at least transportation network accessibility, site comprehensive energy level, and land development difficulty; and the indicator data is data corresponding to the preset indicators; A site comprehensive evaluation module is used to obtain a preset weight value corresponding to each preset indicator, and calculate a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site; The development timing output module is used to determine the development priority for all evaluated sites according to the size of the comprehensive score, and output the evaluation results with the comprehensive score and development priority of all evaluated sites for users to know.

[0020] In a third aspect, the present application provides a device for determining the timing of comprehensive development of subway station areas based on land potential, characterized in that it includes a memory and a processor, and the memory stores a computer program that can be loaded by the processor and execute any method described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, characterized in that it stores a computer program that can be loaded by a processor and execute any of the methods described in the first aspect.

[0022] In summary, this application has the following beneficial technical effects: This application constructs an analysis model based on the spatial land potential of subway station areas to judge and decide the timing of the comprehensive development of a certain number of urban subway stations, shifting from traditional qualitative analysis to quantitative analysis; and fully considering multiple requirements such as economic, social, transportation, and engineering conditions, shifting from the previous single economic indicator consideration to a multi-dimensional comprehensive analysis, ensuring the effective allocation of resources along the rail transit line and supporting the rationality of the timing of rail transit station development. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of a method for determining the timing of comprehensive development of subway station areas based on land potential disclosed in an embodiment of the present application.

[0025] Figure 2 This is a structural block diagram of a system for determining the timing of comprehensive development of subway stations based on land potential disclosed in an embodiment of the present application.

[0026] Description of reference numerals: 201, indicator data acquisition module; 202, site comprehensive evaluation module; 203, development time series output module. DETAILED DESCRIPTION

[0027] The following is combined with Figure 1-2 This application is described in further detail.

[0028] The embodiment of this application discloses a method for determining the timing of comprehensive development of subway station areas based on land potential (hereinafter referred to as the development evaluation method), which aims to provide a more objective analysis of the necessity and development timing of comprehensive development of subway stations by constructing a unified evaluation system with multiple data samples and multi-dimensional perspectives, effectively support the effective allocation of subway investment, construction and development resources at the municipal level, and scientifically assist subway-related decision-making. The execution body of the development evaluation method is a system for determining the timing of comprehensive development of subway stations based on land potential (hereinafter referred to as the development evaluation system), which will be combined with Figure 1 Elaborate on the specific execution process steps of the development and evaluation system.

[0029] S101: Receive an evaluation instruction from a user and, based on preset indicators, obtain corresponding indicator data for all evaluated sites in the evaluation instruction. The preset indicators include at least transportation network accessibility, site comprehensive energy level, and land development difficulty. The indicator data is the data corresponding to the preset indicators. The preset indicators are divided into several first-level indicators and second-level indicators contained in each first-level indicator. Transportation network accessibility, site comprehensive energy level, and land development difficulty are first-level indicators. Each second-level indicator has a corresponding preset weight value, which is calculated using a pre-built AHP evaluation model and obtained after consistency verification.

[0030] S102: Obtain a preset weight value corresponding to each preset indicator, and calculate a comprehensive score corresponding to each evaluated site by combining the indicator data of the evaluated site.

[0031] S103: Determine development priorities for all evaluated sites according to the comprehensive scores, and output evaluation results including the comprehensive scores and development priorities of all evaluated sites for users to learn.

[0032] During implementation, users can access the development evaluation system in the form of a web page and trigger the evaluation instruction based on the preset evaluation button on the preset access page of the development evaluation system. The corresponding development evaluation system can display all subway stations in the form of a map, so that users can select the subway station to be evaluated (i.e., the evaluated station) by touching the subway station icon. The development evaluation system is used to extract a list of stations to be evaluated (including station ID and geographic coordinates). Then, the development evaluation system is used to determine the spatial scope of each station to be evaluated based on the list of stations to be evaluated. Specifically, with the station as the center, the area within a specified distance from the station is used as a buffer range. Combined with the existing water system, mountain, road network, and railway boundaries, Thiessen polygons are generated based on GIS to construct the research scope (i.e., the station domain of the station to be evaluated).

[0033] Then, based on the preset indicators (i.e., transportation network accessibility, station comprehensive level, land development difficulty), as well as the secondary indicators specifically included in each preset indicator, refer to Figure 2 ), collect data for each secondary indicator, mainly but not limited to the following 10 indicators: 1. Whether the station is a transfer station, 2. Passenger flow of the station, 3. Road network density in the station area, 4. Distance between the station and bus stations, 5. Station location, 6. Average land price in the station area, 7. Land use diversity in the station area, 8. Ratio of vacant land in the station area, 9. Ratio of inefficient land in the station area, and 10. Management cost of land redevelopment. The indicator data of each secondary indicator is calculated as follows: 1. Whether the station is a transfer station: Determine whether the subway station is a transfer station based on the approved line network plan. The value of a transfer station is 1, and the value of a non-transfer station is 0.

[0034] 2. Station passenger flow: The average annual passenger flow during the morning peak hour of the subway station will be used as the station passenger flow of the corresponding evaluated station.

[0035] 3. Station area road network density: C m is the road network density; L i is the total length of roads within the station area, km; A i is the total land area of ​​the station area, km 2 .

[0036] 4. Distance between the station and bus stops: the average distance between the station and the nearest pair of bus stops.

[0037] 5. Station Location: Station location reflects the centrality of a station within the urban center system. Based on the urban center system defined in the municipal land and space planning, the location attributes of stations are assigned values ​​from highest to lowest: city-level center, district-level center, community-level center, and general area, with values ​​of 1, 0.8, 0.5, and 0.2, respectively. Accordingly, the development and evaluation system pre-stores the location attributes of all subway stations, allowing the specific location values ​​of the evaluated subway stations to be determined based on these location attributes.

[0038] 6. Average land price in the station area: The average land price in the station area reflects the average unit price of land transfer within the research area; the calculation formula is: Where N is the average land price in the station area, j refers to the number of plots within the station area; a i Refers to the area of ​​the ith plot within the station area; n i It refers to the benchmark land price of the i-th plot of land, which is determined based on the land price announced by the relevant departments.

[0039] 7. Land Use Diversity in the Station Area: Land use diversity (P1) is used to calculate the degree of functional mix in the station area. The indicator combines the urban land use classification table with actual land use functions, and accordingly pre-classifies the station area land use types into 10 categories, including D1 residential, D2 industrial, D3 commercial and business, D4 higher education and vocational school land, D5 science, education, culture, health and wellness land, D6 parks and green spaces, D7 transportation service stations, D8 special land (cultural heritage, gardens, military land, etc.), D9 public facilities, and D10 others (roads, water areas, etc.). The calculation formula is: Among them, D i Refers to the i-th land use type.

[0040] 8. Ratio of vacant land in the station area: Combined with property rights information, sort out the land parcels that have been demolished and leveled in the station area; divide it by the size of the station area to get the ratio of vacant land. The calculation formula is: Among them, D e is the ratio of open space in the station area; E i Refers to the total open space area within the station area, km 2 ; A i Refers to the total land area of ​​the station area, km 2 .

[0041] 9. Proportion of low-efficiency land use in the station area Combined with property rights information, approved control detailed planning and other information, sort out the low-efficiency land within the station area; divide it by the scale of the station area land to get the proportion of low-efficiency land. Low-efficiency land includes: prohibited and eliminated industrial land stipulated by national industrial policies; industrial land that does not meet the requirements of safe production and environmental protection; industrial land with serious safety hazards in buildings and structures; industrial land included in the city and district industrial layout adjustment plan, waiting to be relocated and "withdrawing from the second and entering the third"; industrial land with low indicators such as land use intensity and land output rate; abandoned open-pit mining land. The calculation formula is: Among them, D h is the proportion of low-efficiency land in the station area; H i is the total area of ​​low-efficiency land within the station area, km 2 ; A i is the total land area of ​​the station area, km 2 .

[0042] 10. Land redevelopment management cost: Calculation method: Management cost J1 = industrial land area S1 × industrial location value N3. Accordingly, the default development assessment system pre-stores the industrial location value N3 corresponding to each subway station.

[0043] The development evaluation system pre-constructs a land potential model indicator system using the analytic hierarchy process (AHP), and based on the pre-set judgment matrices of each level, calculates the weight of each secondary indicator in the indicator layer relative to the criterion layer, as well as the weight value of each preset indicator in the criterion layer relative to the target layer, and finally obtains the composite weight of each secondary indicator in the indicator layer relative to the target layer (i.e., the "preset weight value corresponding to each preset indicator" mentioned in S102).

[0044] Then, an evaluation system is developed to combine all the indicator data corresponding to all the evaluated sites and the composite weight corresponding to each secondary indicator, and calculate the comprehensive score corresponding to each evaluated site by weighted summation. During this period, due to the different dimensions of each secondary indicator, the corresponding indicator data will be standardized first. In addition, the values ​​of the two indicators "distance between the site and the bus stop" and "governance cost of land redevelopment" are negatively correlated with the development sequence, and are negative indicators. The remaining secondary indicators are positive indicators, and the indicator data need to be standardized. The corresponding standardization formula is: Among them, X i,j is the index data of the jth secondary indicator of the i-th assessed site before standardization, X' i,j is the index data of the jth secondary index of the i-th evaluated site after normalization; max(X j ) is the maximum value of the index data of the jth secondary index corresponding to all evaluated sites, min(X j ) is the minimum value of the index data of the j-th secondary indicator corresponding to all evaluated sites.

[0045] After standardization, the comprehensive score B is calculated. t ; The corresponding calculation formula is: Among them, C i is the standardized indicator data of the i-th secondary indicator, W i is the weight value of the i-th secondary indicator, 1≤n≤10.

[0046] Finally, the development priority of all evaluated sites is determined in descending order of comprehensive scores, and the following conditions are met: the higher the comprehensive score of the evaluated site, the higher the development priority of the corresponding evaluated site, the earlier the development sequence, and the higher the priority of development.

[0047] Optionally, S102 specifically includes the following sub-steps: Obtain the preset weight value corresponding to each secondary indicator; Based on the indicator data of all evaluated sites, the dispersion and discrimination of each secondary indicator are calculated; If at the current moment, there exists a secondary indicator that satisfies: the degree of discreteness is less than the preset discreteness threshold or the degree of discrimination is less than the preset discrimination threshold, then the weight value corresponding to the secondary indicator that meets the preset correction condition is corrected by the preset dynamic correction algorithm; Based on the policy content obtained in real time, the policy direction is updated in real time. If the policy direction at the current moment changes compared to the policy direction at the time of the most recent weight value correction processing, the weight value of the secondary indicator that matches the policy direction is increased through the preset dynamic correction algorithm; Based on the fluctuation range of the indicator data of all secondary indicators monitored in real time over time, if the fluctuation range at the current moment exceeds the preset amplitude threshold, the weight values ​​corresponding to the secondary indicators that meet the preset correction conditions are corrected using the preset dynamic correction algorithm; Replace the pre-stored initial weights with the corrected weight values; Based on the weight value corresponding to each secondary indicator and combined with the indicator data of the evaluated site, the comprehensive score corresponding to each evaluated site is calculated.

[0048] In the implementation, the preset weight value corresponding to each secondary indicator is obtained as the initial weight, and then the indicator data X of all secondary indicators of all evaluated sites are collected. i,j (i.e. the index data of the jth secondary index of the i-th evaluated site i), and then for each secondary index, calculate the dispersion degree of the corresponding index data of all evaluated sites (such as the standard deviation σ j ) and discrimination (such as the Gini coefficient G j ), if the σ of a certain indicator j j Less than the preset discreteness threshold (such as 0.1) or G j If it is less than the preset discrimination threshold (such as 0.2), the indicator is considered to have insufficient discrimination, triggering correction processing, and trigger condition 1 is met.

[0049] The development evaluation system also obtains policy content in real time. The policy content here comes from at least two sources. First, the development evaluation system is pre-connected to the government platform to obtain the latest policy content released in real time by the government platform. Second, the policy content is input by humans independently. The key content of the policy content is then identified through a preset AI large model to determine whether it is related to subway development. If so, the secondary indicators related to the key content (such as "the distance between the station and the bus stop") are matched based on the key content (such as "focusing on improving bus connections"). If the match is successful, the correction process is triggered and trigger condition 2 is met.

[0050] In addition, the development evaluation system is also used to detect the fluctuation of each secondary indicator data over time (such as quarterly passenger flow growth rate). If the fluctuation exceeds the preset amplitude threshold, correction processing is triggered and trigger condition 3 is met.

[0051] The preset dynamic correction algorithm may specifically include: a random forest feature importance correction algorithm, which is used when trigger condition 1 and / or trigger condition 3 are met. The specific correction steps are as follows: All the evaluated sites and all the indicator data are standardized and used as features to input into the pre-built random forest model. At the same time, the comprehensive score obtained by the initial AHP weight calculation is input into the random forest model as the target variable. In this way, the random forest model is trained and the Gini importance index is extracted. j , and calculate the adjustment coefficient (I j -I') / I'; where I' is the average importance, I'=1 / total number of secondary indicators, the total number of secondary indicators in this application is 10. Finally, a new weight W is generated new,j ; W new,j =W AHP,j *[1+α*(I j -I') / I']; among them, W AHP,j It refers to the initial weight of the secondary indicator j, and α is the preset adjustment intensity coefficient (the default is 0.3, and the range is 0.1 to 0.5).

[0052] When trigger condition 2 is met, the correction method of the corresponding preset dynamic correction algorithm is to directly add or subtract the preset absolute value to the initial weight of the successfully matched secondary indicator, and then obtain the corresponding new weight. For example, the importance of all secondary indicators is pre-ranked according to the policy orientation. When the policy orientation changes and the weight of the matched secondary indicator needs to be increased, the preset absolute value is directly added to the corresponding initial weight; the initial weight of the secondary indicator with the lowest ranking among the other secondary indicators except the matched secondary indicators is subtracted from the preset absolute value to achieve weight adjustment.

[0053] Optionally, before "outputting the evaluation results with comprehensive scores and development priorities of all evaluated sites" in S103, the following steps may also be included: Whenever the comprehensive scores of all evaluated sites are calculated, it is determined whether there is a target site list that satisfies: the difference in comprehensive scores corresponding to all target evaluated sites included in the target site list is not greater than a preset difference; If so, then, based on the indicator data corresponding to all target evaluated sites, a match is made for each target evaluated site in the target site list to determine whether a corresponding significant difference indicator exists. A significant difference indicator is a secondary indicator whose indicator data distinguishes the corresponding target site from other target evaluated sites in the target site list. If the match is successful, all target evaluated sites in the target site list are reordered so that target evaluated sites that are successfully matched to obtain significant difference indicators are ordered before target evaluated sites that are not successfully matched to obtain significant difference indicators.

[0054] During implementation, whenever the comprehensive scores of all evaluated sites are calculated and all evaluated sites are sorted according to the size of the comprehensive scores, the evaluated sites are used to calculate the difference between the comprehensive scores of adjacent evaluated sites in the sorting (i.e., the comprehensive score difference). If there is a target evaluated site whose score difference is not greater than the preset score difference, a target site list is generated, and the two adjacent evaluated sites whose score difference is not greater than the preset difference are included in the target site list.

[0055] Next, for each target site in the target site list (such as X p , that is, the Pth target evaluated site, 1≤P≤R, R is the total number of target evaluated sites in the target site list) indicator data (such as X p,q , that is, the index data of the qth secondary index of the Pth target evaluated site), calculate the relative difference D between it and the index data of the same secondary index of other target evaluated sites P,q ; Generate the difference matrix D R×二级指标总数 , identifies the degree of deviation of each secondary indicator of each target evaluated site.

[0056] Next, an evaluation system is developed to determine whether any of the secondary indicators corresponding to all target evaluated sites have a relative difference greater than a preset average (e.g., 0.2). If so, the corresponding secondary indicator is considered a significant difference indicator, and the significant difference indicator is matched with the corresponding target evaluated site. The evaluation results are then output as the significant difference indicator for the target evaluated site.

[0057] Optionally, each secondary indicator further corresponds to an indicator type, which is divided into a dynamic indicator type and a static indicator type. Accordingly, the step of "obtaining corresponding indicator data of all evaluated sites in the evaluation instruction" in S101 includes the following sub-steps: For the secondary indicators of the static indicator type, obtain the indicator data corresponding to the secondary indicators of the static indicator type at the current time for all evaluated sites in the evaluation instruction; For the secondary indicators of the dynamic indicator type, obtain all the indicator data corresponding to the secondary indicators of the dynamic indicator type within the specified time period before the current moment for all the evaluated sites in the evaluation instruction, calculate the mean and standard deviation, and generate the indicator data of the secondary indicators of the dynamic indicator type in the form of intervals.

[0058] In implementation, the secondary indicators are pre-classified into two categories (i.e., indicator types): one is a static indicator type secondary indicator (e.g., “whether it is a transfer station”), and the other is a dynamic indicator type secondary indicator (e.g., “passenger flow at the station”, “average land price in the station area”, “distance to the bus station”). The dynamic indicator type secondary indicator refers to the secondary indicator whose indicator data is prone to change over time. By calculating the mean value of each indicator data corresponding to each dynamic indicator type secondary indicator (e.g., μ j is the mean of the secondary indicator of the j-th dynamic indicator type) and the standard deviation (such as Ω j Refers to the standard deviation of the secondary indicator of the jth dynamic indicator type), and then uses the mean and standard deviation to generate interval indicator data, such as [μ j -Ω j , μ j +Ω j ], and finally achieve the acquisition of indicator data of secondary indicators of each dynamic indicator type for all evaluated sites.

[0059] The embodiment of the present application also discloses a system for determining the timing of comprehensive development of subway stations based on land potential. Figure 2 ,include: The indicator data acquisition module 201 is configured to receive an evaluation instruction from a user and, based on preset indicators, acquire the corresponding indicator data for all evaluated sites in the evaluation instruction; wherein the preset indicators include at least transportation network accessibility, site comprehensive energy level, and land development difficulty; and the indicator data is data corresponding to the preset indicators; The site comprehensive evaluation module 202 is used to obtain a preset weight value corresponding to each preset indicator, and calculate a comprehensive score corresponding to each evaluated site based on the indicator data of the evaluated site; The development sequence output module 203 is used to determine the development priorities for all evaluated sites according to the comprehensive scores, and output the evaluation results with the comprehensive scores and development priorities of all evaluated sites for users to know.

[0060] Optionally, the preset indicators are divided into several first-level indicators and second-level indicators contained in each first-level indicator, among which the accessibility of the transportation network, the comprehensive energy level of the site, and the difficulty of land development are first-level indicators.

[0061] Optionally, each of the secondary indicators corresponds to a preset weight value, and the preset weight value is calculated by a pre-built AHP evaluation model and obtained after consistency verification.

[0062] Optionally, the site comprehensive evaluation module 202 is further configured to obtain a preset weight value corresponding to each secondary indicator; calculate the degree of dispersion and discrimination of each secondary indicator based on the indicator data of all evaluated sites; if, at the current moment, there exists a secondary indicator that satisfies: the degree of dispersion is less than a preset degree of dispersion threshold or the discrimination is less than a preset discrimination threshold, then modify the weight value corresponding to the secondary indicator that satisfies the preset modification condition using a preset dynamic modification algorithm; It is also used to update and determine the policy orientation in real time based on the policy content obtained in real time. If the policy orientation at the current moment changes compared to the policy orientation at the moment of the most recent weight value correction processing, the weight value of the secondary indicator that matches the policy orientation will be increased through the preset dynamic correction algorithm; the pre-stored initial weight will be replaced with the corrected weight value; according to the weight value corresponding to each secondary indicator, combined with the indicator data of the evaluated site, the comprehensive score corresponding to each evaluated site is calculated.

[0063] Optionally, the site comprehensive evaluation module 202 is also used to monitor the fluctuation amplitude of the indicator data of all secondary indicators over time in real time. If the fluctuation amplitude at the current moment exceeds the preset amplitude threshold, the weight value corresponding to the secondary indicator that meets the preset correction condition is corrected through a preset dynamic correction algorithm.

[0064] Optionally, the development timing output module 203 is also used to determine whether there is a target site list after the comprehensive scores of all evaluated sites are calculated, satisfying that: the difference in comprehensive scores corresponding to all target evaluated sites included in the target site list is not greater than a preset difference; and is also used to, if so, match each target evaluated site in the target site list based on the indicator data corresponding to all the target evaluated sites to see whether there is a corresponding significant difference indicator, the significant difference indicator being: a secondary indicator that distinguishes the corresponding target site from other target evaluated sites in the target site list by the indicator data; and is also used to re-sort all target evaluated sites in the target site list if the match is successful, so that the target evaluated sites that are successfully matched to obtain the significant difference indicator are sorted before the target evaluated sites that are not successfully matched to obtain the significant difference indicator.

[0065] Optionally, the indicator data acquisition module 201 is also used to obtain, for the secondary indicators of the static indicator type, the indicator data corresponding to the secondary indicators of the static indicator type at the current moment for all evaluated sites in the evaluation instruction; and for the secondary indicators of the dynamic indicator type, obtain all indicator data corresponding to the secondary indicators of the dynamic indicator type for all evaluated sites in the evaluation instruction within a specified time period before the current moment, calculate the mean and standard deviation, and generate the indicator data of the secondary indicators of the dynamic indicator type in the form of intervals.

[0066] An embodiment of the present application also discloses a device for determining the timing of comprehensive development of a subway station area based on land potential. The device for determining the timing of comprehensive development of a subway station area based on land potential includes a memory and a processor. The memory stores a computer program that can be loaded by the processor and executes the method for determining the timing of comprehensive development of a subway station area based on land potential as described above.

[0067] An embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the above-mentioned method for determining the timing of comprehensive development of subway station areas based on land potential. The computer-readable storage medium includes, for example: 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, and other media that can store program codes.

[0068] It should be noted that, in this document, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0069] The above embodiments are intended only to illustrate the technical solutions of this application and are not intended to limit the scope of protection of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on these embodiments, all other embodiments obtained by persons of ordinary skill in the art without inventive effort are also within the scope of protection to be protected by this application.

Claims

1. A method for determining the timing of comprehensive development of subway station areas based on land potential, characterized in that: include: Receive an evaluation instruction from a user, and based on preset indicators, obtain corresponding indicator data for all evaluated sites in the evaluation instruction; wherein the preset indicators include at least transportation network accessibility, site comprehensive energy level, and land development difficulty; and the indicator data is data corresponding to the preset indicators; Obtaining the preset weight value corresponding to each preset indicator, and combining the indicator data of the evaluated site to calculate the comprehensive score corresponding to each evaluated site; According to the size of the comprehensive score, the development priority is determined for all evaluated sites, and the evaluation results with the comprehensive scores and development priorities of all evaluated sites are output for users to know.

2. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 1 is characterized in that: The preset indicators are divided into several first-level indicators and second-level indicators contained in each first-level indicator, among which the transportation network accessibility, site comprehensive energy level, and land development difficulty are first-level indicators.

3. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 2 is characterized in that: Each of the secondary indicators corresponds to a preset weight value, which is obtained by calculating the pre-built AHP evaluation model and performing consistency verification.

4. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 3 is characterized in that: The step of obtaining a preset weight value corresponding to each preset indicator and calculating a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site includes: Obtaining a preset weight value corresponding to each of the secondary indicators; Calculate the degree of dispersion and discrimination of each of the secondary indicators based on the indicator data of all the evaluated sites; If at the current moment, there exists a secondary indicator that satisfies: the degree of discreteness is less than the preset discreteness threshold or the degree of discrimination is less than the preset discrimination threshold, then the weight value corresponding to the secondary indicator that meets the preset correction condition is corrected by the preset dynamic correction algorithm; Based on the policy content obtained in real time, the policy direction is updated in real time. If the policy direction at the current moment changes compared to the policy direction at the time of the most recent weight value correction processing, the weight value of the secondary indicator that matches the policy direction is increased through the preset dynamic correction algorithm; Replace the pre-stored initial weights with the corrected weight values; According to the weight value corresponding to each of the secondary indicators, combined with the indicator data of the evaluated site, a comprehensive score corresponding to each of the evaluated sites is calculated.

5. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 4 is characterized in that: The step of obtaining a preset weight value corresponding to each preset indicator and calculating a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site further includes: According to the real-time monitoring of the fluctuation range of the indicator data of all the secondary indicators over time, if the fluctuation range at the current moment exceeds the preset amplitude threshold, the weight value corresponding to the secondary indicator that meets the preset correction condition is corrected by the preset dynamic correction algorithm.

6. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 1, characterized in that: The output includes the evaluation results of the comprehensive scores and development priorities of all evaluated sites, and previously also included: Whenever the comprehensive scores of all evaluated sites are calculated, it is determined whether there is a target site list that satisfies: the difference in comprehensive scores corresponding to all target evaluated sites included in the target site list is not greater than a preset difference; If so, then, based on the indicator data corresponding to all the target evaluated sites, a match is made for each target evaluated site in the target site list to determine whether a corresponding significant difference indicator exists, where the significant difference indicator is a secondary indicator whose indicator data distinguishes the corresponding target site from other target evaluated sites in the target site list; If the match is successful, all target evaluated sites in the target site list are reordered so that target evaluated sites that are successfully matched to obtain significant difference indicators are ordered before target evaluated sites that are not successfully matched to obtain significant difference indicators.

7. The method for determining the timing of comprehensive development of subway stations based on land potential according to claim 1 is characterized in that: Each secondary indicator also corresponds to an indicator type, which is divided into dynamic indicator type and static indicator type; The obtaining of corresponding indicator data of all evaluated sites in the evaluation instruction includes: For the secondary indicators of the static indicator type, obtain the indicator data corresponding to the secondary indicators of the static indicator type at the current moment for all evaluated sites in the evaluation instruction; For the secondary indicators of the dynamic indicator type, obtain all the indicator data corresponding to the secondary indicators of the dynamic indicator type within the specified time period before the current moment for all the evaluated sites in the evaluation instruction, calculate the mean and standard deviation, and generate the indicator data of the secondary indicators of the dynamic indicator type in the form of intervals.

8. A system for determining the timing of comprehensive development of subway stations based on land potential, characterized by: include, An indicator data acquisition module (201) is used to receive an evaluation instruction proposed by a user, and based on preset indicators, acquire corresponding indicator data of all evaluated sites in the evaluation instruction; wherein the preset indicators at least include transportation network accessibility, site comprehensive energy level, and land development difficulty; and the indicator data is data corresponding to the preset indicators; A site comprehensive evaluation module (202) is used to obtain a preset weight value corresponding to each preset indicator, and calculate a comprehensive score corresponding to each evaluated site in combination with the indicator data of the evaluated site; The development time sequence output module (203) is used to determine the development priority for all evaluated sites according to the size of the comprehensive score, and output the evaluation results with the comprehensive scores and development priorities of all evaluated sites for users to know.

9. A device for determining the timing of comprehensive development of subway station areas based on land potential, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.