Old cell update potential evaluation method and system based on internal and external power value evaluation, and storage medium
By constructing an internal and external driving force value assessment index system and a combined weighted model, the problems of subjectivity and singularity in the decision-making of old residential area renewal have been solved, realizing a scientific, comprehensive and dynamic evaluation method, and supporting urban planners in efficient resource allocation.
Patent Information
- Application Number
- CN202511513537.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-22
- Publication Date
- 2026-01-23
AI Technical Summary
Existing technologies in the decision-making process for the renovation of old residential communities are highly subjective, have a single evaluation dimension, and lack dynamism, resulting in unfair resource allocation and low investment efficiency. There is a lack of scientific, comprehensive, and dynamic evaluation methods.
An internal and external driving force value assessment index system was constructed. A combined weighted model was adopted, which combined the analytic hierarchy process and the entropy weight method to quantify the internal renewal driving force and external renewal value of old residential communities and generate visualized evaluation results.
It enables scientific, comprehensive, and dynamic evaluation of the potential for the renewal of old residential communities, supports urban planners in making precise decisions and optimizing resource allocation, and improves the scientific nature and operability of decision-making.
Smart Images
Figure CN121391024A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of urban renewal and smart city technology, and in particular relates to a method, system and storage medium for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment. Background Technology
[0002] As urbanization enters the stock renewal phase, renovating and upgrading old residential communities has become an important means to improve residents' quality of life and revitalize the city. However, the current decision-making process regarding "which to renovate" and "which to renovate first" often faces the following problems: (1) Highly subjective and lacking scientific basis: Decisions rely heavily on the experience and judgment of government departments or the intensity of residents' demands, lacking systematic quantitative evaluation standards, which can easily lead to unfair resource allocation or low investment efficiency.
[0003] (2) Single evaluation dimension: Some existing evaluation methods often only focus on the physical condition of the community, such as the age of the building and the degree of damage; or only focus on the external economic value, such as the land price, failing to organically combine the urgency (motivation) of internal renewal with the feasibility and value (value) of external renewal.
[0004] (3) Lack of dynamism and foresight: Traditional assessments are mostly static "snapshots" that are difficult to reflect the potential changes brought about by dynamic factors such as renewal policies, market changes, and population flows, and cannot provide effective support for medium- and long-term renewal planning.
[0005] Therefore, there is an urgent need in this field for a method that can scientifically, comprehensively, and dynamically evaluate the potential for the renewal of old residential communities, in order to assist urban planners in making accurate decisions and optimizing resource allocation. Summary of the Invention
[0006] The purpose of this application is to overcome the problems of existing technology and disclose a method, system and storage medium for evaluating the renewal potential of old residential communities based on internal and external dynamic value assessment. This application constructs an index system that integrates internal renewal dynamics and external renewal value, and uses a combined weighted model for quantitative calculation, thereby objectively and scientifically identifying old residential communities with high renewal potential, and providing data-driven decision support for prioritizing urban renewal projects.
[0007] The objective of this application is achieved through the following technical solution: A method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment, the method comprising: S1: Construct an evaluation index system for the potential of old residential communities to be renewed, including: internal renewal motivation A and external renewal value B. Among them, internal renewal motivation A is the internal factor that drives renewal and measures the necessity and urgency of renewal, while external renewal value B is the external benefits that may be brought about after renewal and measures the feasibility and value return of renewal. S2: Collect and process indicator data. The data collected includes: publicly available data from government departments, open-source map Points of Interest (POI) data, Geographic Information System (GIS) data, Remote Sensing (RS) imagery data, field survey data, and resident questionnaire survey data. S3: Determine the weights of the indicators; S4: Construct a renewal potential evaluation model and calculate the comprehensive renewal potential index; S5: Output visual evaluation results. The calculated regeneration potential index P of each community is visualized and rendered on the geographic information system GIS map to intuitively show the spatial distribution of regeneration potential in different areas and generate an analysis report.
[0008] According to a preferred embodiment, in step S1, the internal update motivation A includes the following secondary indicators: A1 Building Quality: Building Age, Building Structure, Building Quality; A2 Public Spaces: Spatial Scale, Spatial Accessibility, Spatial Security; A3 Internal Transportation: Pedestrian system completeness, pedestrian system comfort, and parking facility completeness; A4 Public Service Facilities: Accessibility facilities, convenient service facilities, and the completeness of infrastructure; A5 Community Governance: Community organization completeness, community participation, and richness of community activities; A6 Population Composition: Aging Rate, Population Quality, and Proportion of Migrant Population; A7 Residents' sense of well-being: comfort, sense of identity, sense of belonging.
[0009] According to a preferred embodiment, in step S1, the external update value B includes the following secondary indicators: B1 External Transportation Conditions: Urban road infrastructure, distance to bus stops, distance to rail stations, and accessibility of public parking; B2 Industrial Resources: Distance to business centers, distance to major industrial projects, and distance to tourism resources; B3 Cultural Resources: Distance to historical and cultural districts, distance to distinctive old communities; B4 Landscape Resources: Distance to important landscape interfaces, landscape accessibility; B5 Public service resources: distance to medical resources, distance to educational resources, and distance to sports resources.
[0010] According to a preferred embodiment, step S2 further includes: cleaning and standardizing the collected multi-source, heterogeneous data to form a structured data pool, with the value range of each indicator data being [1,5].
[0011] According to a preferred embodiment, step S3 includes: The weights of each indicator are determined using a combined weighting method, with the internal renewal motivation (indicator A) and external renewal value (indicator B) calculated separately. The Analytic Hierarchy Process (AHP) was used to invite experts from fields such as urban planning and government management to make pairwise comparisons and calculate the subjective weights W_subjective for each indicator. The objective weight W_objective is calculated using the entropy weight method based on the degree of variation of each indicator data.
[0012] The final comprehensive weight W = α * W_subjective + β * W_objective, where α and β are harmonic coefficients, and α + β = 1.
[0013] According to a preferred embodiment, step S4 includes: The internal renewal motivation index P is calculated using a linear weighted comprehensive evaluation model. A External Renewal Value Index P B , P A = Σ (W_i * A_i) P B = Σ (W_j * B_j) Where W_i and W_j are the combined weights of the internal update motivation index and the external update value index, respectively, and A_i and B_j are the standardized values of the corresponding indexes; P A and P B The value range is [1, 5]. The closer the value is to 5, the greater the internal renewal motivation and external renewal value of the community.
[0014] According to a preferred embodiment, step S4 further includes: calculating the comprehensive renewal potential index P: P = P A + P B The comprehensive renewal potential index P ranges from [2, 10]. The closer the value is to 10, the greater the renewal potential of the community.
[0015] According to a preferred embodiment, in step S5, the spatial distribution of the renewal potential of different regions is presented in the form of heat maps, grade distribution maps, etc.
[0016] On the other hand, this application also discloses: An evaluation system for the renewal potential of old residential communities based on internal and external driving force value assessment, wherein the evaluation system for the renewal potential of old residential communities adopts the aforementioned method to evaluate the renewal potential of old residential communities; The evaluation system for the potential for renovation of old residential communities includes: Data acquisition module: Used to automatically or semi-automatically collect indicator data from various data sources; Data preprocessing and storage module: used to clean and standardize data and store it in the database; Model calculation engine: Built-in indicator weight calculation algorithms AHP, entropy weight method and comprehensive evaluation model, used to perform the calculation of determining indicator weights and comprehensive update potential index; Visualization and Interactive Display Module: Used to generate map visualization results and data analysis reports, and provides a human-computer interaction interface for users to query, filter and simulate analysis.
[0017] On the other hand, this application also discloses: A computer-readable storage medium for storing instructions that, when executed, cause the aforementioned method to be implemented.
[0018] The aforementioned main solution and its various further alternative solutions can be freely combined to form multiple solutions, all of which are solutions that can be adopted and are claimed in this application. Those skilled in the art, after understanding the solution of this application, will realize that there are many combinations based on the prior art and common general knowledge, all of which are technical solutions to be protected in this application, and will not be exhaustively listed here.
[0019] The beneficial effects of this application are: 1. High scientific rigor: It combines subjective judgment (expert AHP) with objective data (entropy weight method), avoiding the limitations of a single method and making the weight allocation and final results more scientific and reasonable.
[0020] 2. Comprehensive: For the first time, it systematically incorporates the two dimensions of "internal motivation for renewal" and "external value for renewal" into a unified framework, taking into account both the necessity and feasibility of renewal, making the evaluation dimensions more comprehensive.
[0021] 3. Good operability: The method has a clear process, the indicator data can be obtained through public or technical means, the model calculation can be software-based and systematized, and it can quickly and in batches evaluate a large number of communities, making it highly practical.
[0022] 4. Intuitive Decision Support: Through GIS map visualization, decision-makers can clearly grasp the spatial distribution of the potential for urban renewal in old residential areas throughout the city, thereby formulating more focused and efficient urban renewal plans. Attached Figure Description
[0023] Figure 1 This is a flowchart illustrating the steps and procedures for evaluating the potential for renovation of old residential communities in this application. Figure 2 This is a schematic diagram of the evaluation index system for the potential of old residential communities to be renovated. Detailed Implementation
[0024] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.
[0025] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.
[0026] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this application is in use. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on this application. In addition, the terms "first," "second," and "third," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0027] Furthermore, terms such as "horizontal," "vertical," and "sag" do not imply that components must be absolutely horizontal or suspended, but rather that they can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal relative to "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.
[0028] In the description of this application, it should also be noted that, unless otherwise expressly specified and limited, the terms "set up," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0029] Furthermore, it should be noted that unless otherwise specified in this application, the specific structures, connections, positions, power sources, etc. involved are all things that a person skilled in the art can know without creative effort based on the prior art.
[0030] Example 1 refer to Figure 1 and Figure 2 As shown, this application discloses a method for evaluating the renewal potential of old residential communities based on internal and external dynamic value assessment, which includes the following steps.
[0031] Step S1: Construct an evaluation index system for the potential of old residential communities to be renovated. The system includes two primary indicators: internal renewal motivation (A) and external renewal value (B).
[0032] Internal motivation for renewal (A) is the intrinsic factor driving renewal, measuring the necessity and urgency of renewal, including but not limited to the following secondary indicators: A1 Building Quality: Building age, building structure, building quality, etc.
[0033] A2 Public Space: Space Scale, Space Accessibility, Space Security, etc.
[0034] A3 Internal Transportation: Pedestrian system completeness, pedestrian system comfort, parking facility completeness, etc.
[0035] A4 Public service facilities: barrier-free facilities, convenient service facilities, and the completeness of infrastructure, etc.
[0036] A5 Community Governance: The completeness of community organizations, community participation, and the richness of community activities, etc.
[0037] A6 Population composition: aging rate, population quality, proportion of migrant population, etc.
[0038] A7 Residents' sense of well-being: comfort, sense of identity, sense of belonging, etc.
[0039] External renewal value (B) refers to the potential external benefits of the renewal, measuring the feasibility and return on investment of the renewal, including but not limited to the following secondary indicators: B1 External transportation conditions: urban road infrastructure, distance to bus stops, distance to rail stations, convenience of public parking, etc.
[0040] B2 Industrial Resources: Distance to commercial centers, distance to major industrial projects, distance to tourism resources, etc.
[0041] B3 Cultural Resources: Distance to historical and cultural districts, distance to distinctive old communities, etc.
[0042] B4 Landscape Resources: Distance to important landscape interfaces, accessibility to the landscape, etc.
[0043] B5 Public service resources: distance to medical resources, distance to educational resources, distance to sports resources, etc.
[0044] Step S2: Collect and process indicator data.
[0045] Data for the above indicators were collected through multiple channels, including: publicly available data from government departments, open-source map Points of Interest (POI) data, Geographic Information System (GIS) data, Remote Sensing (RS) imagery data, field survey data, and resident questionnaire survey data. The collected multi-source and heterogeneous data were cleaned and standardized to form a structured data pool, with the data values for each indicator ranging from [1, 5].
[0046] Step S3: Determine the indicator weights.
[0047] The weights of each indicator are determined by a combination weighting method to balance subjective experience and objective data.
[0048] The internal renewal motivation (A) indicator and the external renewal value (B) indicator are calculated separately.
[0049] The Analytic Hierarchy Process (AHP) was used to invite experts from fields such as urban planning and government management to make pairwise comparisons and calculate the subjective weights W_subjective for each indicator.
[0050] The objective weight W_objective is calculated using the entropy weight method based on the degree of variation of each indicator data.
[0051] The final comprehensive weight W = α * W_subjective + β * W_objective (where α and β are harmonic coefficients, and α + β = 1).
[0052] Step S4: Build and calculate the updated potential evaluation model. First, a linear weighted comprehensive evaluation model is used to calculate the internal renewal motivation index (P). A ) and External Renewal Value Index (P B ).
[0053] P A = Σ (W_i * A_i) P B = Σ (W_j * B_j) Where W_i and W_j are the combined weights of the internal update motivation index and the external update value index, respectively, and A_i and B_j are the standardized values of the corresponding indexes; P A and P B The value range is [1, 5]. The closer the value is to 5, the greater the internal renewal motivation and external renewal value of the community.
[0054] Based on this, calculate the comprehensive renewal potential index P: P = P A + P B The comprehensive renewal potential index P ranges from [2, 10]. The closer the value is to 10, the greater the renewal potential of the community.
[0055] Step S5: Output the visual evaluation results.
[0056] The calculated regeneration potential index P of each community is visualized and rendered on a Geographic Information System (GIS) map, presented in the form of heat maps, hierarchical distribution maps, etc., to intuitively show the spatial distribution of regeneration potential in different areas, and an analysis report is generated.
[0057] The present application will be further described in detail below with reference to the accompanying drawings and embodiments. Taking an old residential area in the main urban area of a city as an example.
[0058] 1. (Corresponding to S1 and S2) First, construct the indicator system as described in the invention. Obtain information such as building age, building structure, and building quality from the municipal housing and construction bureau's database; obtain data on internal transportation, public spaces, public service facilities, and community governance through on-site surveys and online platforms by distributing and collecting 5,000 resident questionnaires; and obtain data on external transportation, industrial resources, cultural resources, and landscape resources through open-source map points of interest (POI) data.
[0059] 2. (Corresponding to S3) Invite 5 experts to conduct AHP assessments via questionnaires and calculate the subjective weights. Simultaneously, based on all collected indicator data from the community, calculate the objective weights using the entropy weight method. Let α = 0.4 and β = 0.6, calculate the comprehensive weight for each indicator.
[0060] 3. (Corresponding to S4) Multiply and sum the standardized internal update dynamics indicators A_i of each cell with their corresponding comprehensive weights W_i to obtain the internal update dynamics index (PA). Bind the index value to its geographic coordinates and import it into the ArcGIS platform to obtain a visualization image of the internal update dynamics index (PA).
[0061] Then, the standardized internal renewal motivation indicators B_i of each community are multiplied by their corresponding comprehensive weights W_j and summed to obtain the external renewal value index (P). B The index value is then bound to its geographic coordinates and imported into the ArcGIS platform to obtain the External Updated Value Index (P). B Visualized images.
[0062] Internal Renewal Motivation Index (P) A ) and External Renewal Value Index (P B The sum of these values yields the comprehensive update potential index P.
[0063] (Corresponding to S5) The obtained values are graded using the natural split-point method, divided into four levels: low, relatively low, relatively high, and high, generating a heat map. Decision-makers can clearly see from the map that several communities located in the core area of the old city, with old and dilapidated buildings but extremely high surrounding commercial value, exhibit the highest redevelopment potential, while some remote and smaller dormitory areas have lower potential. Example 2 Based on Example 1, this example discloses an evaluation system for the renewal potential of old residential communities based on internal and external dynamic value assessment. The evaluation system for the renewal potential of old residential communities uses the method described in Example 1 to evaluate the renewal potential of old residential communities.
[0064] The evaluation system for the potential for renovation of old residential communities includes: Data acquisition module: Used to automatically or semi-automatically collect indicator data from various data sources; Data preprocessing and storage module: used to clean and standardize data and store it in the database; Model calculation engine: Built-in indicator weight calculation algorithms AHP, entropy weight method and comprehensive evaluation model, used to perform the calculation of determining indicator weights and comprehensive update potential index; Visualization and Interactive Display Module: Used to generate map visualization results and data analysis reports, and provides a human-computer interaction interface for users to query, filter and simulate analysis.
[0065] Example 3 Based on Embodiment 1, this embodiment also discloses: a computer-readable storage medium for storing instructions that, when executed, cause the method described in Embodiment 1 to be implemented.
[0066] In some alternative embodiments, the present invention also provides that various aspects of the method for evaluating the potential for renewal of old residential communities based on internal and external dynamic value assessment can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the method for evaluating the potential for renewal of old residential communities based on internal and external dynamic value assessment according to various exemplary embodiments of the present invention as described above.
[0067] It should be noted that although several units or sub-units of the apparatus have been mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, according to embodiments of the invention, the features and functions of two or more units described above can be embodied in one unit. Conversely, the features and functions of one unit described above can be further divided and embodied by multiple units. Furthermore, although the operation of the method of the invention is described in a specific order in the drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.
[0068] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0069] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a server, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0070] Program code for performing the operations of this invention can be written using any combination of one or more programming languages, including object-oriented programming languages such as Java and C++, as well as conventional procedural programming languages such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.
[0071] In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).
[0072] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0073] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the functions specified in one or more boxes. The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included within the protection scope of this application.
Claims
1. A method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment, characterized in that, The evaluation method for the potential of old residential communities to be renovated includes: S1: Construct an evaluation index system for the potential of old residential communities to be renewed, including: internal renewal motivation A and external renewal value B. Among them, internal renewal motivation A is the internal factor that drives renewal and measures the necessity and urgency of renewal, while external renewal value B is the external benefits that may be brought about after renewal and measures the feasibility and value return of renewal. S2: Collect and process indicator data. The data collected includes: publicly available data from government departments, open-source map Points of Interest (POI) data, Geographic Information System (GIS) data, Remote Sensing (RS) imagery data, field survey data, and resident questionnaire survey data. S3: Determine the weights of the indicators; S4: Construct a renewal potential evaluation model and calculate the comprehensive renewal potential index; S5: Output visual evaluation results. The calculated regeneration potential index P of each community is visualized and rendered on the geographic information system GIS map to intuitively show the spatial distribution of regeneration potential in different areas and generate an analysis report.
2. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, In step S1, the internal update motivation A includes the following secondary indicators: A1 Building Quality: Building Age, Building Structure, Building Quality; A2 Public Spaces: Spatial Scale, Spatial Accessibility, Spatial Security; A3 Internal Transportation: Pedestrian system completeness, pedestrian system comfort, and parking facility completeness; A4 Public Service Facilities: Accessibility facilities, convenient service facilities, and the completeness of infrastructure; A5 Community Governance: Community organization completeness, community participation, and richness of community activities; A6 Population Composition: Aging Rate, Population Quality, and Proportion of Migrant Population; A7 Residents' sense of well-being: comfort, sense of identity, sense of belonging.
3. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, In step S1, the external update value B includes the following secondary indicators: B1 External Transportation Conditions: Urban road infrastructure, distance to bus stops, distance to rail stations, and accessibility of public parking; B2 Industrial Resources: Distance to business centers, distance to major industrial projects, and distance to tourism resources; B3 Cultural Resources: Distance to historical and cultural districts, distance to distinctive old communities; B4 Landscape Resources: Distance to important landscape interfaces, landscape accessibility; B5 Public service resources: distance to medical resources, distance to educational resources, and distance to sports resources.
4. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, Step S2 also includes: cleaning and standardizing the collected multi-source, heterogeneous data to form a structured data pool, with the value range of each indicator data being [1,5].
5. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, Step S3 includes: The weights of each indicator are determined using a combined weighting method, with the internal renewal motivation (indicator A) and external renewal value (indicator B) calculated separately. The Analytic Hierarchy Process (AHP) was used to invite experts from fields such as urban planning and government management to make pairwise comparisons and calculate the subjective weights W_subjective for each indicator. The objective weight W_objective is calculated using the entropy weight method based on the degree of variation of each indicator data. The final comprehensive weight W = α * W_subjective + β * W_objective, where α and β are harmonic coefficients, and α + β = 1.
6. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, Step S4 includes: The internal renewal motivation index P is calculated using a linear weighted comprehensive evaluation model. A External Renewal Value Index P B , P A = Σ (W_i * A_i) P B = Σ (W_j * B_j) Where W_i and W_j are the combined weights of the internal update motivation index and the external update value index, respectively, and A_i and B_j are the standardized values of the corresponding indexes; P A and P B The value range is [1, 5]. The closer the value is to 5, the greater the internal renewal motivation and external renewal value of the community.
7. The method for evaluating the renewal potential of old residential communities based on internal and external dynamic value assessment as described in claim 6, characterized in that, Step S4 also includes: calculating the comprehensive renewal potential index P: P = P A + P B The comprehensive renewal potential index P ranges from [2, 10]. The closer the value is to 10, the greater the renewal potential of the community.
8. The method for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment as described in claim 1, characterized in that, In step S5, the spatial distribution of regeneration potential in different regions is presented in the form of heat maps, grade distribution maps, etc.
9. A system for evaluating the renewal potential of old residential communities based on internal and external driving force value assessment, characterized in that, The old residential area renovation potential evaluation system uses the method described in any one of claims 1 to 8 to evaluate the renovation potential of old residential areas; The evaluation system for the potential for renovation of old residential communities includes: Data acquisition module: Used to automatically or semi-automatically collect indicator data from various data sources; Data preprocessing and storage module: used to clean and standardize data and store it in the database; Model calculation engine: Built-in indicator weight calculation algorithms AHP, entropy weight method and comprehensive evaluation model, used to perform the calculation of determining indicator weights and comprehensive update potential index; Visualization and Interactive Display Module: Used to generate map visualization results and data analysis reports, and provides a human-computer interaction interface for users to query, filter and simulate analysis.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store instructions that, when executed, cause the method as described in any one of claims 1 to 8 to be implemented.