Methods and devices for generating areas for the integrated renovation of old residential communities under the guidance of balanced funding

Abstract

This invention discloses a method for generating zones for the coordinated renovation of old residential communities under a funding balance-oriented approach. The method includes the following steps: retrieving the basic database of the target area, classifying and identifying the idle space assets of each community and calculating the effective area; calculating the comprehensive surplus of the community under each combined utilization scenario based on the revenue calculation model and cost parameters, and screening candidate input scenarios; extracting urgency assessment indicators and calculating urgency scores, selecting the starting community and then sequentially performing inclusion judgments on surrounding communities, including communities within the priority renovation threshold or whose comprehensive surplus meets the inclusion threshold into the coordinated zone, and updating the overall net profit; generating the boundary of the coordinated zone after traversal, and performing iterative correction when the overall net profit does not meet the funding balance threshold. This invention can automatically generate coordinated renovation zones for old residential communities based on asset returns, renovation urgency, and funding balance constraints.

Description

Technical Field

[0001] This invention relates to the field of urban renewal planning technology, and in particular to a method and apparatus for generating areas for the coordinated renovation of old residential communities under the guidance of financial balance. Background Technology

[0002] my country faces a vast number of old urban residential communities and a daunting task in renovating them, making it a crucial aspect of urban development in the era of existing housing stock. Traditional implementation methods typically focus on individual communities as the basic renovation targets, with government-led investment and implementation. The scope of renovations is limited by government funding, project delineation relies on subjective judgment by staff, and implementation timing is achieved through a bottom-up application and aggregation process. This lack of scientific evaluation based on objective spatial data results in highly random decision-making regarding renovation timing and insufficient coordination across renovation areas. Consequently, it is difficult to maximize the comprehensive benefits of renovation through systematic and large-scale arrangements.

[0003] Existing research and practice are currently transitioning from "funding for individual projects" to "balanced funding across entire districts." Starting with individual residential communities, existing research and practice focus on identifying idle buildings, vacant spaces, inefficient shops, public housing, and expandable residential units within the community, calculating the economic benefits from leasing, selling, operating, or functional conversion. However, this approach overlooks the potential combinations of multiple projects at different timeframes and with varying profit and loss profiles. Regarding district-wide coordination, while ideas such as "mixing beneficial and less valuable projects," "packaged development," and "cross-project balancing" exist, most remain at the level of general principles. In practice, the few district-wide redevelopment projects often rely on manual judgment, lacking an operational, replicable, and procedurally executable framework. The district-level coordination method, in particular, lacks a comprehensive consideration of multi-dimensional constraints such as building safety performance, the completeness of supporting facilities, and residents' usage needs based on basic data of old residential areas. It also lacks a technical process for generating rules for the boundaries of coordination units, project combination methods, implementation sequence, and financial balance results. It does not clarify how to delineate the coordination units of the area, which projects should be included in the same coordination unit, how to match short-term and long-term projects, how to package profitable and loss-making projects, and under what conditions the area can be considered to have achieved financial balance. This is not conducive to the formation of a unified judgment standard among government management departments, project implementers, and community residents.

[0004] Therefore, there is an urgent need to propose a comprehensive evaluation method for renovating old residential areas based on multi-dimensional factors and financial balance constraints. Building upon existing methods for identifying spatial assets and calculating profit potential in individual communities, this method further introduces multi-dimensional constraint indicators such as building safety performance, the completeness of supporting facilities, and residents' usage needs. It establishes a process for delineating renovating units at the district scale, classifying projects, packaging them together, scheduling them, and determining overall financial balance. This method aims to achieve a dynamic balance between overall costs and benefits in the district by coordinating the operation and revenue of various spatial assets within the district, constructing a predictable profit return mechanism. This will leverage social capital to actively participate in the renovation of old residential areas, reduce reliance on public finance, and provide executable and scalable technical support for shifting the renovation of old residential areas from single-point projects to district-wide coordinated development. Summary of the Invention

[0005] The purpose of this invention is to avoid the shortcomings of the prior art and provide a technology that automatically generates a financially balanced overall plan for the area to be transformed.

[0006] The objective of this invention is achieved through the following technical solution: Therefore, according to one aspect of the present invention, a method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balance is provided, comprising the following steps: retrieving a basic database, classifying and identifying idle space assets in the communities within the target area of ​​the basic database, and calculating the effective area of ​​each type of idle space asset; wherein, each type of idle space asset includes at least one of idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing; calculating the revenue value of each type of idle space asset after renovation according to a pre-stored revenue calculation model; obtaining cost parameters from the basic database, and calculating the comprehensive surplus of each community under various combined utilization scenarios according to the cost parameters for each type of idle space asset, and selecting corresponding candidate input scenarios for each community from various combined utilization scenarios according to preset screening rules; extracting urgency assessment indicators for each community from the basic database, and calculating... The urgency score for each community is generated. The urgency assessment indicators include at least one of the following: building age, building structure, building density, facility completeness, and population density. A community within the target area is selected as the starting community of the overall planning area. Starting from the starting community, the inclusion judgment steps are performed on the surrounding communities that are not included. The inclusion judgment steps include: obtaining the candidate input scenarios, comprehensive surplus, and urgency assessment score of the current community; determining whether the urgency assessment score of the current community is within the priority renovation threshold range: if yes, the current community is included in the overall planning area, and the overall net profit of the current overall planning area is updated; if no, it is further determined whether the comprehensive surplus of the current community is greater than or equal to the preset inclusion threshold: if yes, the current community is included in the overall planning area, and the overall net profit of the current overall planning area is updated; otherwise, the current community is skipped; the above inclusion judgment steps are repeated until the traversal is completed, the boundary of the overall planning area is generated, and the overall net profit of the overall planning area is output.

[0007] Specifically, when performing the inclusion determination steps for surrounding communities that have not yet been included, the steps are carried out in order of spatial distance between each surrounding community and the starting community, from closest to furthest; among them, surrounding communities are those adjacent to communities that have already been included in the overall planning area.

[0008] The above involves extracting urgency assessment indicators for each community from the basic database and calculating the corresponding urgency score for each community. Specifically, this includes the following steps: normalizing the urgency assessment indicators. Read the preset weight values, and multiply each index value of the normalized urgency assessment index by the corresponding weight value and sum them to calculate the urgency score of the community renovation. The weight values ​​are predetermined by one or more of the following methods: analytic hierarchy process, expert weighting method, or entropy weighting method.

[0009] Furthermore, determining whether the current community's urgency assessment score is within the priority renovation threshold range specifically includes the following steps: based on the renovation urgency score of each community, sort each community from high to low, and mark the communities with the highest pre-set percentage as being within the priority renovation threshold range; or, mark the communities with renovation urgency scores greater than or equal to the pre-set threshold as being within the priority renovation threshold range.

[0010] Another specific approach is to select a neighborhood within the target area as the starting neighborhood for the overall planning area. This includes obtaining the renovation urgency score for each neighborhood and selecting the neighborhood with the highest renovation urgency score as the starting neighborhood.

[0011] Another specific method involves selecting candidate input scenarios for each community from various combined utilization scenarios according to preset screening rules. This includes the following steps: for each community, comparing the overall surplus under each combined utilization scenario and selecting the scenario with the largest overall surplus as the candidate input scenario for the corresponding community; or, for each community, comparing the capital recovery period under each combined utilization scenario and selecting the scenario with the shortest capital recovery period as the candidate input scenario for the corresponding community.

[0012] Another specific step involves repeatedly executing the above inclusion judgment steps until the traversal is complete, generating the boundaries of the coordinated areas, and outputting the overall net profit of the coordinated areas. This also includes: reading the preset capital balance threshold and determining whether the overall net profit of the candidate coordinated areas is greater than or equal to the preset capital balance threshold. If not, iterative correction and return are performed according to one or more correction types selected by the user.

[0013] According to another aspect of the present invention, a zone generation device for the coordinated renovation of old residential communities under the guidance of fund balancing is provided, comprising: The storage module is used to store basic data of several communities within the target area. The basic data includes several of the following: community boundaries, building outlines, building years, number of building floors, building structure, building base area, community land area, plot ratio, population statistics, POI data, AOI data, public housing information, market rent, housing prices, transportation stations, public service facilities, historical and cultural resources, planning control indicators, and renovation cost parameters. The spatial asset identification module is used to process the basic data in the storage module, classify and identify idle spatial assets in several communities within the target area, and calculate the effective area of ​​each type of idle spatial asset; among them, idle spatial assets include at least one of the following: idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing; The revenue value calculation module is used to calculate the revenue value of each type of idle space asset after renovation based on the pre-stored revenue calculation model. The scenario generation and calculation module is used to calculate the comprehensive surplus of each community under each scenario based on the cost parameters obtained from the storage module, for various combined utilization scenarios corresponding to various spatial assets. The scenario filtering module is used to filter out the corresponding candidate input scenarios for each cell from various combined utilization scenarios according to preset filtering rules, and output the candidate input scenarios and comprehensive surplus for each cell. The urgency assessment module is used to extract urgency assessment indicators for each community from the basic database and calculate the corresponding urgency score for each community. The integrated area generation module is used to select a community within the target area as the starting community of the integrated area. Starting from the starting community, it sequentially performs inclusion judgment on the surrounding communities that are not included: obtaining the candidate input scenario, comprehensive surplus, and urgency assessment score of the current community; determining whether the urgency assessment score of the current community is within the priority renovation threshold range: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; if no, it further determines whether the comprehensive surplus of the current community is greater than or equal to the preset inclusion threshold: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; otherwise, the current community is skipped; the above inclusion judgment steps are repeated until the traversal is completed, and the boundary of the integrated area is generated. The iterative correction module is used to determine whether the overall net profit of the candidate coordinated area is greater than or equal to the preset capital balance threshold. If not, iterative correction and return are performed according to one or more correction types selected by the user.

[0014] The output module is used to output the boundaries of the coordinated area and the overall net profit of the coordinated area.

[0015] According to another aspect of the present invention, a computing device is provided, including a memory, a processor, and computer instructions stored in the memory and executable on the processor. When the processor executes the instructions, it implements the steps of the above-mentioned method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balance.

[0016] According to another aspect of the present invention, a computer-readable storage medium is provided that stores computer instructions, which, when executed by a processor, implement the steps of the above-described method for generating areas for the coordinated renovation of old residential communities under a funding balance orientation.

[0017] The beneficial effects of this invention are as follows: By coordinating multiple communities under a unified regional framework, it overcomes the shortcomings of single communities in achieving self-balancing of funds; by supporting the generation and screening of various spatial asset combination utilization scenarios, the optimal renovation plan can be flexibly selected according to actual conditions, improving the scientific nature and adaptability of decision-making; by setting a comprehensive surplus inclusion threshold, it realizes the automated screening of renovation projects and dynamic generation of regional plans, significantly improving the efficiency of generating coordinated plans; on this basis, it can further optimize the selection of starting communities by combining the assessment of renovation urgency, or improve the success rate of fund balancing through an iterative correction mechanism, thus providing efficient, executable, and replicable technical support for the transformation of old community renovation from single-project advancement to regional coordinated advancement. Attached Figure Description

[0018] The invention can be better understood by describing exemplary embodiments disclosed herein in conjunction with the accompanying drawings, in which: Figure 1 The diagram shown is a schematic flowchart of a method for generating areas for the overall renovation of old residential communities under the guidance of capital balance according to a first embodiment of the present invention. Figure 2 The diagram shown is a schematic diagram of the program modules of a district generation device for the overall renovation of old residential areas under the guidance of capital balance according to Embodiment 1 of the present invention; Figure 3 The diagram shown is a hardware structure schematic of a computing device according to Embodiment 1 of the present invention. Detailed Implementation

[0019] The following describes specific embodiments of the present invention. It should be noted that, in order to provide a concise description, this specification cannot exhaustively describe all features of the actual embodiments. It should be understood that, in the actual implementation of any embodiment, just as in any engineering or design project, various specific decisions are often made to achieve the developer's specific goals and to meet system-related or business-related constraints, and this can change from one embodiment to another. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this invention, some design, manufacturing, or production modifications based on the technical content disclosed in this invention are merely conventional technical means and should not be construed as insufficient content of this invention.

[0020] Unless otherwise defined, the technical or scientific terms used in the claims and description shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in the patent application description and claims of this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. The terms "an" or "a" and similar terms do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms "comprising" or "including" and similar terms mean that the element or object preceding "comprising" or "including" encompasses the element or object listed following "comprising" or "including" and its equivalents, and do not exclude other elements or objects. The terms "connected" or "linked" and similar terms are not limited to physical or mechanical connections, nor are they limited to direct or indirect connections.

[0021] Example 1 Please see Figure 1 This embodiment proposes a method for generating areas for the coordinated renovation of old residential communities under the guidance of fund balancing, including the following steps S1 to S8: S1: Obtain the basic spatial units of the cells within the target area, and establish and store the basic database.

[0022] The basic database includes community boundaries, building outlines, building year, number of floors, building structure, building base area, community land area, plot ratio, population statistics, POI data, AOI data, public housing information, market rent, housing prices, transportation hubs, public service facilities, historical and cultural resources, planning control indicators, and renovation cost parameters.

[0023] Among them, the boundaries of the community are corrected by government department basic ledgers, road boundaries, remote sensing images and building outline data; housing prices, market rents, POI data, AOI data, public housing information, population statistics and planning control indicators serve as the basic input data for subsequent spatial asset identification, calculation of the revenue value after the transformation of idle spatial assets and the judgment of community inclusion.

[0024] S2: Identify community spatial assets.

[0025] The system retrieves data from a basic database, including building outlines, AOI (Area of ​​Interest) data, POI data, public housing database, planning control data, and population statistics. It then classifies and identifies vacant space assets within at least one community in the target area of ​​the basic database and calculates the effective area of ​​each type of vacant space asset. These vacant space assets include at least one of the following: vacant buildings, vacant sites, commercial facilities, public housing, low-capacity housing, and low-rent housing.

[0026] In this embodiment, the following calculation steps are specifically included: 1) Read the number of building floors, building structure type and POI data of each community. If the number of building floors is less than 2, the building structure is of type C or D and there is no POI mark in the building outline, then mark the building as an idle building and calculate the idle building area = building base area × number of floors.

[0027] The criteria for identifying idle buildings are: the number of building floors is less than a preset threshold, the building structure is a preset inefficient structure type and lacks a POI business activity identifier. The preset threshold is 2 floors, and the inefficient structure type includes C or D type structures.

[0028] 2) Read the land area, standard green space ratio and building footprint area of ​​each community, and calculate the idle site area = community land area × (1 - standard green space ratio) - building footprint area.

[0029] The standard green space ratio is selected according to the planning and technical regulations of the area. In this embodiment, it is set at 25% for old urban areas and 30% for other urban areas.

[0030] 3) Read the POI data in each community, count the number of facilities by type, multiply each by the corresponding average operating area parameter, and sum them to obtain the total scale of operating facilities.

[0031] In this embodiment, the pre-defined categories of life services and catering services are calculated at 30 square meters per room, shopping services and car sales services at 50 square meters per room, and financial insurance services, accommodation services and corporate services at 100 square meters per room (the specific values ​​can be adjusted appropriately according to the actual situation of different cities).

[0032] 4) Read the public housing area of ​​each community from the public housing database and sum them up to get the total public housing area.

[0033] 5) Read the plot ratio, building height, building type and building year of each community. If the plot ratio does not reach the planning control limit and it is a unit courtyard type community, it is identified as a community with the potential for capacity expansion. Calculate the low-capacity housing capacity expansion area = number of households in the community × 7㎡ / household (the specific value can be adjusted appropriately according to the actual situation of different cities).

[0034] 6) Read the residential rental data of each community, calculate the average rent within a 150-meter radius, and if the average rent of the community is lower than this value, mark the residential area of ​​the community as the low-rent housing area, and multiply it by the rental ratio obtained from the census data to obtain the rentable low-rent housing area.

[0035] S3: Calculate the revenue value of idle space assets after renovation.

[0036] Based on the pre-stored revenue calculation model, and taking into account POI, AOI, property information, market rental and sales prices, and planning control conditions, the revenue value of each type of idle space asset after renovation is calculated.

[0037] In this embodiment, the specific steps include: 1) Read the calculated idle building area, and read the shop rental unit price and utilization period from the basic database to calculate the idle building revenue = idle building area × shop rental unit price × utilization period.

[0038] 2) Read the calculated idle site area, and read the parking fee unit price and utilization period from the basic database to calculate the idle site revenue = idle site area × parking fee unit price × utilization period.

[0039] 3) Read the total scale of the operating facilities, the shop rent from the basic database, and the annual growth rate determined according to the spatial location level, and calculate the street operation revenue = total scale of operating facilities × shop rent × (1 + annual growth rate) to the power of t.

[0040] The annual growth rate coefficient can be determined based on the spatial location level. Preferably, it is 8% within the radiation range of a city-level center, 7% within the radiation range of a district-level center, and 6% within the radiation range of a cluster-level center (the specific value can be adjusted appropriately according to the actual situation of different cities).

[0041] 4) Read the calculated area of ​​rentable low-rent housing, and read the rent and utilization period of the renovated housing from the basic database. Calculate the revenue from unified rental operation = area of ​​rentable low-rent housing × rent of renovated housing × utilization period.

[0042] The rent for the renovated residential units can be based on the average rent value within a pre-defined area around the community.

[0043] 5) Read the calculated total area of ​​public housing and the unit price of second-hand housing from the basic database, and calculate the revenue from the sale of public housing = total area of ​​public housing × unit price of second-hand housing.

[0044] 6) Read the calculated low-capacity housing expansion area and the second-hand housing unit price from the basic database, and calculate the expansion sales revenue = low-capacity housing expansion area × second-hand housing unit price.

[0045] S4: Determine the renovation schedule for the community, specifically including the following steps S41 to S44: S41: Extract the urgency assessment indicators for each community from the basic database.

[0046] The urgency assessment indicators for each community are based on a comprehensive dimension of building safety performance, the completeness of supporting facilities, and residents' usage needs.

[0047] In this embodiment, the urgency assessment indicators include: building age, building structure, building density, facility completeness, and population density, which are obtained through the following calculation steps: 1) Building age = current year - year of construction. The older the building age, the higher the degree of aging of the building.

[0048] 2) The building structure is assigned a value through mapping according to the type in the basic database. The larger the assigned value, the higher the structural risk.

[0049] 3) Building density = building footprint area ÷ community area. The higher the building density, the higher the spatial load-bearing pressure of the community.

[0050] 4) Facility completeness is represented by the number of POIs of welfare facilities, activity facilities, educational facilities, commercial facilities, and medical facilities within the community.

[0051] In one implementation, facility completeness is calculated as the sum of the number of Points of Interest (POIs) for welfare facilities, activity facilities, educational facilities, commercial facilities, and medical facilities within the community, divided by the community's land area. A higher facility completeness indicates more comprehensive community facilities and a lower urgency for renovation.

[0052] 5) Population density = population size ÷ area of ​​the community. The higher the population density, the higher the residents' demand and the pressure on public services.

[0053] S42: Normalize the urgency assessment index to calculate the dimensionless index value.

[0054] Among them, building age, building structure, building density, and population density are positive indicators, and the processing method is as follows: Normalized value of positive indicator = (original value of indicator - minimum value of indicator) ÷ (maximum value of indicator - minimum value of indicator).

[0055] Facility completeness is a negative indicator; the handling method is as follows: Normalized value of negative indicator = (maximum value of indicator - original value of indicator) ÷ (maximum value of indicator - minimum value of indicator).

[0056] After normalization, all urgency assessment indicators are converted into dimensionless index values ​​between 0 and 1, with larger index values ​​indicating higher urgency for the transformation.

[0057] S43: Read the preset weight values, and multiply the values ​​of each index of the normalized urgency assessment index by the corresponding weight values ​​and sum them to calculate the urgency score of the community renovation. Each weight value is predetermined using one or more of the following methods: analytic hierarchy process, expert weighting, or entropy weighting.

[0058] S44: Determine the corresponding renovation time sequence marker for each community based on the renovation urgency score of each community.

[0059] Specifically, each community is ranked from highest to lowest according to its urgency of renovation. The communities with the highest ranking (e.g., 20%) are marked as communities that need renovation soon or within the priority renovation threshold range. The rest are marked as communities that need renovation in the future, outside the priority renovation threshold range, or are not marked. or, Communities with an urgency score greater than or equal to a preset threshold are marked as communities requiring immediate renovation or within the priority renovation threshold range. Communities with an urgency score less than the threshold are marked as communities requiring long-term renovation, outside the priority renovation threshold range, or are not marked.

[0060] For example, the top 10% are the priority threshold for renovation, meaning that the top 10% of communities in terms of renovation urgency are the highest priority communities and must be included in the candidate coordinated area in the subsequent step S6; they should not be skipped. The remaining communities need to meet the set funding balance conditions in order to be included in the candidate coordinated area.

[0061] For example, the top 30% are marked as communities requiring immediate renovation, the top 30%-60% are marked as communities requiring medium-term renovation, and the remaining communities are communities requiring long-term renovation. Among them, communities requiring immediate renovation have the highest priority, meaning they are within the priority renovation threshold range and must be included in the candidate coordinated development area in the subsequent step S6; they should not be skipped. Communities requiring medium-term and long-term renovation need to meet the set funding balance conditions to be included in the candidate coordinated development area.

[0062] S5: Calculate the cost-benefit ratio of community renovation for each spatial asset under various combined utilization scenarios.

[0063] Cost parameters are retrieved from the basic database, and based on these parameters, the comprehensive surplus for each community is calculated for various combined utilization scenarios. Candidate input scenarios are then selected for each community from these scenarios according to preset filtering rules. Specifically, this includes the following steps S51 to S56: S51: Read the asset selection instruction input by the user, and generate several asset sets corresponding to combined utilization scenarios for each community according to the asset selection instruction and the preset asset combination rules. Among them, the instruction specifies the set of spatial asset types participating in the utilization in this calculation, and the spatial asset types are selected from one or more of the following: idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing.

[0064] In this embodiment, if the asset selection instruction selects multiple spatial asset types, several corresponding combined utilization scenarios are generated according to the asset combination rules, and each combined utilization scenario includes at least two spatial asset types. For ease of explanation, the following is a specific example: For example, in the asset selection instruction, if the selected space asset type for renovation is idle building, idle site, or operating facility, the following combined utilization scenarios will be generated for each community: The first combination of utilization scenarios includes a collection of idle buildings and a collection of idle sites; The second combination of utilization scenarios includes a collection of idle buildings and a collection of operating facilities; The third combination of utilization scenarios includes the collection of idle spaces and the collection of operating facilities; The fourth combination of utilization scenarios includes a collection of idle buildings, a collection of idle sites, and a collection of operating facilities.

[0065] That is, for each community, asset sets corresponding to the four different combined utilization scenarios mentioned above are generated respectively.

[0066] S52: Based on the quantitative indicators of each spatial asset calculated in S2 and the various revenues calculated in S3, and combined with the one-time cost parameters and continuous cost parameters read from the basic database, calculate the one-time surplus of the renovation stage under each combined utilization scenario corresponding to each community.

[0067] Among them, the one-time surplus during the renovation phase = one-time revenue - one-time cost; one-time revenue includes at least one or more of the following: expansion and sale, sale of public housing; one-time cost includes at least one or more of the following: renovation investment, engineering construction cost, supplementary land price payment, and resettlement cost.

[0068] S53: Read the operating period T. For each year t = 1 to T, calculate the continuous surplus of the operating phase under each combined utilization scenario for each community, and sum them up to obtain the total continuous surplus of the operating phase.

[0069] Among them, the continuous surplus during the operation phase = continuous revenue - continuous costs; continuous revenue includes at least one or more of the following: rental income from idle sites, rental income from idle buildings, street operation income, and unified rental operation income; continuous costs include at least one or more of the following: operation and maintenance costs, property management costs, and facility maintenance costs.

[0070] S54: Calculate the comprehensive surplus for each community under each combined utilization scenario, where the comprehensive surplus = one-time surplus during the renovation phase + total continuous surplus during the operation phase, and store the comprehensive surplus in association with the scenario identifier.

[0071] S55: Output the comprehensive surplus results of each community under various combined utilization scenarios, and select one scenario as the input scenario for subsequent area-wide coordination according to preset filtering rules. Specifically: For each community under different combined utilization scenarios, a comparison of the overall surplus is performed, and the scenario with the largest overall surplus is selected as the candidate input scenario for the corresponding community; or, Calculate the payback period for each community under each combined utilization scenario, compare the calculated payback periods, and select the scenario with the shortest payback period as the candidate input scenario for the corresponding community.

[0072] S6: Generate candidate coordinated areas. This includes the following steps S61 to S63: S61: Obtain the renovation urgency score of each community, and select the community with the highest renovation urgency score as the starting community and include it in the list of communities for the candidate coordinated area.

[0073] S62: Obtain the outer boundary of the current candidate coordinated area and find other cells that meet at least one of the following conditions: 1) It is located within the same administrative boundary as the starting community or any community on the list; 2) Spatially adjacent to the starting cell or any cell in the list; 3) It shares public services or infrastructure with any of the communities on the list; 4) The implementation organization is feasible.

[0074] S63: Following the order of spatial distance between each surrounding community and the starting community from closest to furthest, the following inclusion judgment steps are performed on the surrounding communities that were not included: S631: Obtain the candidate input scenarios, overall surplus, and urgency assessment score or renovation time sequence marker for the current cell.

[0075] S632: Based on the urgency assessment score or renovation time sequence mark of the current community, determine whether it is within the priority renovation threshold range or whether it is a community to be renovated recently. If so, directly include the community in the overall planning area and update the overall net profit of the current overall planning area; otherwise, proceed to step S633.

[0076] S633: Determine whether the overall surplus of the current community is greater than or equal to the preset inclusion threshold. If so, include the current community in the overall planning area and update the overall net profit of the current candidate overall planning area; otherwise, skip the current community.

[0077] Furthermore, in one embodiment, the inclusion threshold includes a first inclusion threshold and a second inclusion threshold, corresponding to mid-term renovation communities and long-term renovation communities, respectively; wherein, the second inclusion threshold is greater than the first inclusion threshold.

[0078] If the current community is a mid-term renovation community, it will be included in the overall planning area if the corresponding comprehensive surplus is greater than or equal to the first inclusion threshold; if the current community is a long-term renovation community, it will be included in the overall planning area if the corresponding comprehensive surplus is greater than or equal to the second inclusion threshold.

[0079] S634: Repeat the above inclusion judgment steps S631 to S633 until the traversal is complete. Wherein, the traversal is complete when there are no cells that meet the search conditions in step S62 and whose overall surplus is greater than or equal to the preset inclusion threshold that can be included.

[0080] S7: Iterative correction of overall regional results: S71: Read the preset capital balance threshold and determine whether the overall net profit of the candidate coordinated area is greater than or equal to the preset capital balance threshold. If yes, proceed to step S8; if no, proceed to step S72. For example, if there are n residential areas within a candidate coordinated development area, then under the m-th spatial asset utilization scenario, the overall net profit of the area after the renovation and operation period T can be expressed as: PTD(m) = Σ Pti(m), i = 1, 2, …, n Where Pti(m) represents the overall surplus of the i-th community under the m-th spatial asset utilization scenario.

[0081] When PTD(m) ≥ the preset capital balance threshold, the candidate coordinated area is determined to have met the capital balance condition, and the process proceeds to step S8.

[0082] When PTD(m) < preset threshold, proceed to step S72 to iteratively correct the candidate coordinated area.

[0083] S72: Perform iterative correction based on one or more correction types selected by the user, specifically including the following steps: S721: Based on the correction type selected by the user, determine the set of parameter types to be updated and return the execution steps.

[0084] In this embodiment, the correction types include: recombination correction, candidate input scenario correction, overall planning scope correction, transformation timing correction, and preset parameter correction.

[0085] If the user chooses to recombine and correct, the parameter type to be updated is the spatial asset type in the asset selection instruction, and the process returns to step S5.

[0086] Among them, based on the recombination correction, users can redetermine the spatial asset types in the asset selection instruction, and reduce, increase or replace the spatial asset types participating in utilization.

[0087] If the user selects candidate input scenario correction, the parameter type to be updated is the candidate input scenario of each community within the candidate coordination area, and the process returns to step S6.

[0088] Among them, after selecting and correcting the candidate input scenario, the candidate input scenarios and corresponding comprehensive surplus of each community in the candidate coordination area are read, and at least one community that uses the scenario with the shortest capital recovery period as the candidate input scenario is replaced with the scenario with the largest comprehensive surplus as the candidate input scenario.

[0089] If the user selects to modify the renovation timeline, the parameter type to be updated is the renovation timeline of each community within the candidate coordinated area, and the process returns to step S6.

[0090] Among them, after selecting the modification time sequence correction, the modification time sequence of each community in the candidate coordination area is read. Users can manually modify it or modify the corresponding preset ratio to adjust at least one community in the current priority modification threshold range to outside the priority modification threshold range, or adjust at least one community outside the priority modification threshold range to within the priority modification threshold range.

[0091] If the user selects to adjust the scope of coordination, the parameter type to be updated is the outer boundary of the candidate coordination area, and the process returns to step S6.

[0092] Among them, based on the scope of coordination correction, users can redetermine the outer boundaries of the candidate coordination area and expand or shrink the scope of coordination.

[0093] If the user selects to modify the preset parameters, the parameter type to be updated is the preset parameter in the profit calculation model, and the process returns to step S3.

[0094] Among them, after selecting the preset parameter correction, users can redetermine the preset parameters in the revenue calculation model; the preset parameters in the revenue calculation model include at least one of the following within the constraints of planning control indicators, plot ratio limit, functional control requirements, construction sequence requirements, etc.: rental unit price, operating cycle, cost parameters, occupancy ratio, and increase coefficient.

[0095] Furthermore, if multiple correction types are selected simultaneously, the parameter type to be updated is the union of all the types, and the return step takes the minimum value (i.e., the step with the smallest number corresponds to the earliest execution stage).

[0096] S722: Based on the set of parameter types to be updated, receive the update value input by the user, update the corresponding parameter; then start from the returned step again until step S6 ends, and return to step S71.

[0097] After each adjustment, the overall net profit PTD(m) of the candidate coordinated area is recalculated until the coordinated area results that meet the preset constraints are output.

[0098] S8: Output the overall planning results for the region.

[0099] Generate the boundaries of the coordinated area and output the overall net profit of the coordinated area; and also output at least one of the following information: List of communities included in the overall planning area; The types and scale of spatial assets utilized by each community under its candidate input scenarios; The renovation schedule for each residential community.

[0100] Please continue reading. Figure 2 This invention illustrates a zone generation device for the coordinated renovation of old residential communities under a funding balance guidance model. In this embodiment, such a device may include or be divided into one or more program modules. One or more program modules are stored in a storage medium and executed by one or more processors to complete the invention and implement the aforementioned zone generation method for the coordinated renovation of old residential communities under a funding balance guidance model. The program module referred to in this invention is a series of computer program instruction segments capable of performing specific functions, and is more suitable than the program itself for describing the execution process of a zone generation device for the coordinated renovation of old residential communities under a funding balance guidance model in a storage medium. The following description will specifically introduce the functions of each program module in this embodiment: The storage module is used to store basic data of several communities within the target area. The basic data includes several of the following: community boundaries, building outlines, building year, number of building floors, building structure, building base area, community land area, plot ratio, population statistics, POI data, AOI data, public housing information, market rent, housing price, transportation stations, public service facilities, historical and cultural resources, planning control indicators, and renovation cost parameters.

[0101] The spatial asset identification module is used to process the basic data in the storage module, classify and identify idle spatial assets in several communities within the target area, and calculate the effective area of ​​each type of idle spatial asset. Among them, idle spatial assets include at least one of the following: idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing.

[0102] The revenue value calculation module is used to calculate the revenue value of various types of idle space assets after renovation based on the pre-stored revenue calculation model.

[0103] The scenario generation and calculation module is used to read the asset selection instructions input by the user, and generate several corresponding combined utilization scenarios for each community according to the asset selection instructions and preset asset combination rules. Based on the cost parameters obtained from the storage module, it calculates the comprehensive surplus of each community under each scenario for each combined utilization scenario.

[0104] The scenario filtering module is used to select the corresponding candidate input scenarios for each cell from various combined utilization scenarios according to preset filtering rules, and output the candidate input scenarios and comprehensive surplus of each cell.

[0105] The urgency assessment module is used to extract urgency assessment indicators for each community from the basic database and calculate the corresponding urgency score for each community.

[0106] The integrated area generation module selects a community within the target area as the starting community for the integrated area. Starting from the starting community, it sequentially performs inclusion judgment on the surrounding communities that are not yet included: obtaining the candidate input scenario, comprehensive surplus, and urgency assessment score of the current community; determining whether the urgency assessment score of the current community is within the priority renovation threshold range: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; if no, it further determines whether the comprehensive surplus of the current community is greater than or equal to the preset inclusion threshold: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; otherwise, the current community is skipped; the above inclusion judgment steps are repeated until the traversal is completed, generating the boundary of the integrated area.

[0107] The iterative correction module is used to determine whether the overall net profit of the candidate coordinated area is greater than or equal to the preset capital balance threshold. If not, iterative correction and return are performed according to one or more correction types selected by the user.

[0108] The output module is used to output the boundaries of the coordinated area and the overall net profit of the coordinated area.

[0109] According to another aspect of the present invention, a computing device is provided, including a memory, a processor, and computer instructions stored in the memory and executable on the processor. When the processor executes the instructions, it implements the steps of the above-mentioned method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balance.

[0110] According to another aspect of the present invention, a computer-readable storage medium is provided that stores computer instructions, which, when executed by a processor, implement the steps of the above-described method for generating areas for the coordinated renovation of old residential communities under a funding balance orientation.

[0111] This embodiment also provides a computing device, such as a smartphone, tablet computer, laptop computer, desktop computer, rack server, blade server, tower server, or cabinet server (including standalone servers or server clusters composed of multiple servers) capable of executing programs. The computing device 20 in this embodiment includes, but is not limited to, a memory 21 and a processor 22 that can communicate with each other via a system bus. Figure 3 As shown. It should be noted that, Figure 3 Only a computing device 20 with components 21-22 is shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0112] In this embodiment, the memory 21 (i.e., the readable storage medium) includes flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 21 may be an internal storage unit of the computing device 20, such as the hard disk or memory of the computing device 20. In other embodiments, the memory 21 may also be an external storage device of the computing device 20, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computing device 20. Of course, the memory 21 may include both the internal storage unit and the external storage device of the computing device 20. In this embodiment, the memory 21 is typically used to store the operating system and various application software installed on the computing device 20, such as the program code of a district generation device for the overall renovation of old residential areas under the guidance of fund balance in Embodiment 1. In addition, the memory 21 can also be used to temporarily store various types of data that have been output or will be output.

[0113] In some embodiments, processor 22 may be a central processing unit (CPU), controller, microcontroller, microprocessor, or other data processing chip. This processor 22 is typically used to control the overall operation of computing device 20. In this embodiment, processor 22 is used to run program code stored in memory 21 or process data, for example, to run a zone generation device for the coordinated renovation of old residential areas under a funding balance guidance, to implement a zone generation method for the coordinated renovation of old residential areas under a funding balance guidance as described in Embodiment 1.

[0114] This embodiment also provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, server, App application store, etc., which stores a computer program. When the program is executed by a processor, it implements the corresponding function. The computer-readable storage medium of this embodiment is used to store a zone generation device for the coordinated renovation of old residential areas under the guidance of fund balancing. When executed by a processor, it implements a zone generation method for the coordinated renovation of old residential areas under the guidance of fund balancing, as described in Embodiment 1.

[0115] In summary, according to the exemplary embodiments, the method and apparatus for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as proposed in this invention, have the following advantages compared with the prior art: (1) Based on the actual situation, all or part of the spatial assets can be selected for renovation and utilization to form different renovation scenarios, and the corresponding benefits and surplus results can be calculated respectively. Compared with the existing technology of fixed utilization or unified calculation of identified assets, the present invention can better adapt to the renovation needs under different regions, different implementation conditions and different policy constraints, and improve the flexibility and applicability of the method.

[0116] (2) Starting with the community with the highest urgency of renovation, candidate coordinated areas are gradually expanded to the surrounding areas according to conditions such as spatial proximity, administrative boundaries, sharing of public services and feasibility of implementation. Compared with the existing technology that mainly relies on experience or directly delineates areas according to administrative units, it is more conducive to forming coordinated units with clear logic and improving the objectivity and consistency of the delineation results.

[0117] (3) By incorporating different spatial asset utilization scenarios, renovation timelines, and area expansion into a unified funding balance determination process, it is possible to iteratively correct situations where the overall area fails to meet the preset balance conditions by adjusting the content of spatial asset utilization, implementation timelines, or inclusion within the community scope, thereby obtaining a more comprehensive result that aligns with actual implementation conditions. This method not only improves the overall funding balance capability of community renovation but also enhances the replicability and scalability of the results.

[0118] (4) The output results include not only the overall surplus of the area, but also the overall area boundary, the list of included communities, the types and scale of spatial assets to be utilized, the project implementation sequence, and the suggested implementation organization and funding coordination methods. It can provide a unified basis for judgment for planning departments, implementation entities and funding entities, and has strong planning implementation support value.

[0119] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0120] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0121] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable medium, and when executed, it includes one or a combination of the steps of the method embodiments.

[0122] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0123] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method.

[0124] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for generating districts for the coordinated renovation of old residential communities under the guidance of balanced funding, characterized in that, Includes the following steps: The basic database is retrieved, and the idle space assets in the target area of ​​the basic database are classified and identified, and the effective area of ​​each type of idle space asset is calculated; wherein, each type of idle space asset includes at least one of the following: idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing; Based on the pre-stored revenue calculation model, the revenue value of various types of idle space assets after renovation is calculated respectively; Cost parameters are obtained from the basic database, and based on the cost parameters, the comprehensive surplus of each community under various combined utilization scenarios is calculated for each type of idle space asset. Candidate input scenarios are selected for each community from various combined utilization scenarios according to preset screening rules. In the basic database, urgency assessment indicators for each community are extracted, and urgency scores for each community are calculated; wherein, the urgency assessment indicators include at least one of the following: building age, building structure, building density, facility completeness, and population density; Select one community within the target area as the starting community for the overall planning area. Starting from the starting community, perform inclusion judgment steps on the surrounding communities that are not yet included. The inclusion judgment steps include: Obtain the candidate input scenarios, comprehensive surplus, and urgency assessment score of the current cell; determine whether the urgency assessment score of the current cell is within the priority renovation threshold range: If so, include the current community in the overall planning area and update the overall net profit of the current overall planning area; If not, then further determine whether the overall surplus of the current cell is greater than or equal to the preset inclusion threshold: If yes, then include the current community in the overall planning area and update the overall net profit of the current overall planning area; otherwise, skip the current community. Repeat the above inclusion judgment steps until the traversal is complete, generate the boundary of the coordinated area, and output the overall net profit of the coordinated area.

2. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 1, is characterized in that... When performing the inclusion determination step on the unincluded surrounding cells in sequence, the process is carried out in order of increasing spatial distance between each surrounding cell and the starting cell; The surrounding communities are those adjacent to communities already included in the overall planning area.

3. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 1 or 2, is characterized in that... The step of extracting urgency assessment indicators for each community from the basic database and calculating the corresponding urgency score for each community includes the following steps: The urgency assessment indicators were normalized. Read the preset weight values, and multiply each index value of the normalized urgency assessment index by the corresponding weight value and sum them to calculate the urgency score of the community renovation. The weight values ​​are predetermined using one or more of the following methods: analytic hierarchy process, expert weighting, or entropy weighting.

4. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 3, is characterized in that... The process of determining whether the urgency assessment score of the current cell falls within the priority renovation threshold range specifically includes the following steps: Based on the renovation urgency score of each community, the communities are sorted from high to low according to the score, and the communities with the highest score are marked as being within the priority renovation threshold range. or, Communities with an urgency score for renovation greater than or equal to a preset threshold are marked as being within the priority renovation threshold range.

5. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 3, is characterized in that... The selection of a community within the target area as the starting community for the overall planning area specifically includes: Obtain the renovation urgency score for each community, and select the community with the highest renovation urgency score as the starting community.

6. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 1, is characterized in that... The step of selecting candidate input scenarios for each cell from various combined utilization scenarios according to preset filtering rules specifically includes the following steps: For each residential community, the overall surplus under each combined utilization scenario is compared, and the scenario with the largest overall surplus is selected as the candidate input scenario for the corresponding community; or, For each community, the payback period under various combined utilization scenarios is compared, and the scenario with the shortest payback period is selected as the candidate input scenario for the corresponding community.

7. The method for generating areas for the coordinated renovation of old residential communities under the guidance of capital balancing, as described in claim 1, is characterized in that... The process of repeatedly executing the above inclusion judgment step until the traversal is complete, generating the boundary of the coordinated area, and outputting the overall net profit of the coordinated area also includes: Read the preset capital balance threshold and determine whether the overall net profit of the candidate coordinated area is greater than or equal to the preset capital balance threshold. If not, perform iterative correction and return according to one or more correction types selected by the user.

8. A zone generation device for the integrated renovation of old residential communities under the guidance of fund balancing, employing the zone generation method for the integrated renovation of old residential communities under the guidance of fund balancing as described in any one of claims 1 to 7, characterized in that, include: The storage module is used to store basic data of several communities within the target area. The basic data includes several of the following: community boundary, building outline, building year, number of building floors, building structure, building base area, community land area, plot ratio, population statistics, POI data, AOI data, public housing information, market rent, housing price, transportation stations, public service facilities, historical and cultural resources, planning control indicators, and renovation cost parameters. The spatial asset identification module is used to process the basic data in the storage module, classify and identify idle spatial assets in several communities within the target area, and calculate the effective area of ​​each type of idle spatial asset; wherein, the idle spatial assets include at least one of the following: idle buildings, idle sites, operating facilities, public housing, low-capacity housing, and low-rent housing; The revenue value calculation module is used to calculate the revenue value of each type of idle space asset after renovation based on the pre-stored revenue calculation model. The scenario generation and calculation module is used to calculate the comprehensive surplus of each community under each scenario based on the cost parameters obtained from the storage module for each combination of spatial assets. The scenario filtering module is used to filter out the corresponding candidate input scenarios for each cell from various combined utilization scenarios according to preset filtering rules, and output the candidate input scenarios and comprehensive surplus for each cell. The urgency assessment module is used to extract urgency assessment indicators for each community from the basic database and calculate the urgency score for each community. The integrated area generation module is used to select a community within the target area as the starting community of the integrated area. Starting from the starting community, it sequentially performs inclusion judgment on the surrounding communities that are not included: obtaining the candidate input scenario, comprehensive surplus, and urgency assessment score of the current community; determining whether the urgency assessment score of the current community is within the priority renovation threshold range: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; if no, it further determines whether the comprehensive surplus of the current community is greater than or equal to the preset inclusion threshold: if yes, the current community is included in the integrated area, and the overall net profit of the current integrated area is updated; otherwise, the current community is skipped; the above inclusion judgment steps are repeated until the traversal is completed, and the boundary of the integrated area is generated. The iterative correction module is used to determine whether the overall net profit of the candidate coordinated area is greater than or equal to the preset capital balance threshold. If not, iterative correction and return are performed according to one or more correction types selected by the user. The output module is used to output the boundary of the coordinated area and the overall net profit of the coordinated area.

9. A computing device, comprising a memory, a processor, and computer instructions stored in the memory and executable on the processor, characterized in that, When the processor executes the instructions, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer instructions, characterized in that, When executed by the processor, this instruction implements the steps of the method according to any one of claims 1 to 7.

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