Planning method for community idle land reuse in urban renewal

Abstract

The application relates to the technical field of urban planning, and discloses a community idle land recycling planning method in urban renewal, which solves the problems that the existing community idle land recycling planning method in urban renewal lacks precise classification and multi-dimensional evaluation, does not fully consider the multiple needs of residents, does not integrate ecological environmental protection and other concepts, and lacks a dynamic adjustment mechanism, and comprises ten core links of idle land basic information collection, idle land multi-dimensional classification, community demand accurate investigation, preliminary design of a planning scheme, integration of ecological low-carbon indexes, scheme feasibility evaluation, scheme publicity and optimization adjustment, dynamic implementation of the planning scheme, dynamic adjustment of the scheme and digitalization of planning results archiving. The community idle land recycling planning method in urban renewal has precise classification and multi-dimensional evaluation, fully considers the multiple needs of residents, integrates ecological environmental protection and other concepts, and has a dynamic adjustment mechanism.

Description

Technical Field

[0001] This invention belongs to the field of urban planning technology, specifically a planning method for the reuse of idle community land in urban renewal. Background Technology

[0002] The reuse of idle land in urban renewal refers to the replanning and development of underutilized or abandoned land within urban communities due to planning adjustments, industrial changes, or historical reasons. This idle land may have been abandoned factories, vacant lots, or inefficiently used public spaces. During reuse, based on the actual needs of the community and through scientific planning and design, it is transformed into spaces with practical functions and ecological value, such as community parks, pocket green spaces, fitness areas, cultural activity centers, or convenient service facilities. This not only improves land use efficiency and optimizes urban spatial layout but also improves the community environment, enriches residents' lives, enhances community cohesion and vitality, and promotes the city's development towards a more livable and sustainable direction. Existing planning methods for the reuse of idle land have several shortcomings: First, they lack accurate classification and multi-dimensional assessment of idle land, leading to a mismatch between planning schemes and actual land conditions; second, they fail to fully consider the diverse needs of community residents, resulting in insufficient practicality of the planning outcomes; third, they neglect the integration of modern urban development concepts such as ecological protection, low-carbon energy conservation, etc.; and fourth, they lack a dynamic adjustment mechanism, making it difficult for the planning schemes to adapt to changes in community development after implementation. Therefore, there is an urgent need for a community idle land reuse planning method that takes into account scientific rigor, practicality, ecology, and flexibility to solve the above problems. Summary of the Invention

[0003] In response to the above situation and to overcome the shortcomings of the existing technology, this invention provides a planning method for the reuse of idle community land in urban renewal. This method effectively solves the problems in the above-mentioned background technology, such as the lack of accurate classification and multi-dimensional assessment, insufficient consideration of residents' diverse needs, failure to incorporate modern concepts such as ecological and environmental protection, and lack of dynamic adjustment mechanism in the planning method for the reuse of idle community land in urban renewal.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a planning method for the reuse of idle community land in urban renewal, comprising the following steps: S1: Collection of basic information on idle land. Through on-site surveys, GIS geographic information system retrieval and community archives, the location coordinates, land area, topography, soil quality, distribution of surrounding infrastructure, ownership information and historical usage records of idle land are collected to establish a basic information database. S2: Multi-dimensional classification of idle land. Based on the basic information database, idle land is classified from four dimensions: land use attributes, idle duration, site conditions and functional gaps in surrounding communities. The hierarchical clustering algorithm is used to classify idle land into five types: residential supplement, ecological leisure, public service, commercial support and mixed-use. S3: Precise community needs survey, which combines online questionnaires, offline interviews and focus group discussions to survey the living needs, ecological needs and commercial service needs of community residents, and form a priority list of needs based on the shortcomings of the existing functions of the community. S4: Preliminary design of the planning scheme. Based on the land use classification results and the priority list of needs, combined with the requirements of the city master plan and the community control detailed plan, determine the land use layout, building density, green space ratio and supporting facility configuration standards, use BIM building information model to conduct scheme visualization design, and form a preliminary planning scheme. S5: Ecological and low-carbon indicators are incorporated into the preliminary planning scheme, including the adoption of sponge city technology, the selection of native drought-resistant plants to construct green space systems, the priority use of prefabricated buildings and environmentally friendly building materials, the setting up of renewable energy utilization facilities, and the clarification of carbon emission control targets. S6: Feasibility assessment of the scheme. A fuzzy comprehensive evaluation model is established from four dimensions: technical feasibility, economic feasibility, social feasibility and environmental feasibility. The preliminary planning scheme is evaluated, and unqualified schemes are eliminated and returned to step S4 for redesign. S7: Public Announcement and Optimization of the Plan. The planning scheme that has passed the feasibility assessment will be publicly announced in the community to collect residents' feedback. The plan will be optimized and adjusted in conjunction with expert suggestions to form the final planning scheme. S8: Dynamic implementation of the planning scheme. Based on the final planning scheme, a phased implementation plan is formulated, clarifying the construction tasks, time nodes and responsible parties for each stage. During the implementation process, IoT sensors are used to monitor the site construction quality, ecological indicators and resident feedback in real time. S9: Dynamic adjustment of the plan. Each year, based on monitoring data and new needs for community development, the implementation effect of the plan is evaluated. If there is a decline in functional adaptability, failure to meet ecological indicators, or significant changes in residents' needs, the plan adjustment process is initiated, and steps S3-S7 are repeated to optimize and update the plan.

[0005] Compared with the prior art, the beneficial effects of the present invention are: By combining multi-dimensional classification with precise needs surveys, we have achieved a precise match between the utilization direction of idle land and the needs of the community, solved the problem of insufficient practicality of existing plans, and improved the feasibility of planning schemes. It incorporates ecological and low-carbon indicators, sponge city and renewable energy utilization technologies, which are in line with the modern urban green development concept, effectively reduce the environmental impact of land reuse, and fill the gap of ecological deficiency in existing planning; A dynamic implementation and adjustment mechanism was established, and timely responses to community development changes were made through real-time monitoring and annual evaluation, which solved the shortcomings of traditional planning schemes that were rigid and unable to adapt to changing needs. By employing quantitative analysis tools such as hierarchical clustering algorithms and fuzzy comprehensive evaluation models, combined with digital technologies such as GIS and BIM, the scientific nature and accuracy of the planning process have been improved, making it more innovative and reliable than traditional experience-based planning methods. Attached Figure Description

[0006] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof.

[0007] In the attached diagram: Figure 1 This is a logical block diagram of the urban renewal planning method for reusing idle community land in the present invention; Figure 2 This is a logic block diagram for collecting basic information on idle land in this invention; Figure 3 This is a logical block diagram of the multi-dimensional classification of idle land in this invention; Figure 4 This is a logic diagram for the precise survey of community needs in this invention. Detailed Implementation

[0008] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0009] Example 1, by Figures 1 to 4 The present invention discloses a planning method for the reuse of idle land in urban renewal communities, comprising ten core steps: collection of basic information on idle land, multi-dimensional classification of idle land, precise survey of community needs, preliminary design of planning schemes, integration of ecological and low-carbon indicators, feasibility assessment of the schemes, public announcement and optimization of the schemes, dynamic implementation of the planning schemes, dynamic adjustment of the schemes, and digital archiving of planning results. The specific steps are as follows: S1: Collection of basic information on idle land: Through on-site surveys, GIS geographic information system retrieval and community archives, collect the location coordinates, land area, topography, soil quality, distribution of surrounding infrastructure, ownership information and historical usage records of idle land, and establish a basic information database; S2: Multi-dimensional classification of idle land. Based on a basic information database, idle land is classified from four dimensions: land use attribute (state-owned / collective), idle duration (short-term idle ≤3 years, medium-term idle 3-8 years, long-term idle >8 years), site conditions (topography flatness, geological stability, environmental carrying capacity), and functional gaps in surrounding communities. The classification algorithm is hierarchical clustering algorithm to obtain five types of land use: residential supplement, ecological leisure, public service, commercial support, and mixed-use. S3: Precise community needs survey, using a combination of online questionnaires, offline interviews and focus group discussions to survey the age structure, family structure, living needs (such as elderly care services, childcare, sports and fitness), ecological needs and commercial service needs of community residents, and combine them with the existing functional shortcomings of the community to form a priority list of needs. S4: Preliminary design of the planning scheme. Based on the land use classification results and the demand priority list, combined with the requirements of the city master plan and the community control detailed plan, the corresponding utilization direction is matched for different types of idle land, the land use layout, building density, green space ratio and supporting facility configuration standards are determined, and the scheme is visualized using BIM building information model to form a preliminary planning scheme. S5: Ecological and low-carbon indicators are incorporated into the preliminary planning scheme, including the use of sponge city technology (permeable pavement, rain gardens, and water storage ponds) to treat site drainage, the selection of native drought-resistant plants to construct green space systems, the priority use of prefabricated buildings and environmentally friendly building materials, the installation of renewable energy utilization facilities such as solar photovoltaic panels and wind power generation devices, and the clear definition of carbon emission control targets. S6: Feasibility assessment of the scheme. From four dimensions, namely technical feasibility (construction difficulty, technology maturity), economic feasibility (construction cost, operation income, investment recovery period), social feasibility (resident acceptance, social contribution) and environmental feasibility (ecological impact, pollutant emission), a fuzzy comprehensive evaluation model is established to evaluate the preliminary planning scheme, eliminate unqualified schemes and return to step S4 for redesign. S7: Public Announcement and Optimization of the Plan. The planning scheme that has passed the feasibility assessment will be publicly announced in the community to collect residents' feedback. A demonstration meeting will be organized with planners, architects, ecological experts and community representatives. The plan will be optimized and adjusted based on the feedback and expert suggestions to form the final planning scheme. S8: Dynamic implementation of the planning scheme. Based on the final planning scheme, a phased implementation plan is formulated, clarifying the construction tasks, time nodes and responsible parties for each stage. During the implementation process, IoT sensors are used to monitor the site construction quality, ecological indicators and resident feedback in real time. S9: Dynamic adjustment of the plan. Each year, based on monitoring data and new needs for community development, the implementation effect of the plan is evaluated. If there is a decline in functional adaptability, failure to meet ecological indicators, or significant changes in residents' needs, the plan adjustment process is initiated, and steps S3-S7 are repeated to optimize and update the plan.

[0010] S10: The step of digital archiving planning results involves digitally storing basic information databases, planning scheme drawings, evaluation reports, implementation monitoring data, and adjustment records to form a traceable and searchable planning result archive.

[0011] Step S1, the basic information collection also includes acquiring current image data of idle land through drone aerial photography, and combining it with a GIS system to realize spatial visualization of land use information; the weights of the hierarchical clustering algorithm in step S2 are set as follows: land use attribute 15%, idle time 20%, site conditions 35%, and surrounding community functional gaps 30%, and the weights of each indicator are determined by the entropy weight method; the demand priority list in step S3 uses the AHP hierarchical analysis method to determine the demand weights, of which the weight of basic public service demand is not less than 40%, and the weight of ecological and recreational demand is not less than 25%; The carbon emission control target mentioned in step S5 requires that the carbon emissions per unit area of ​​land after planning be reduced by more than 30% compared with the traditional planning scheme; the evaluation index of the fuzzy comprehensive evaluation model mentioned in step S6 includes 12 secondary indicators, including technical feasibility (construction difficulty, technology maturity, and maintenance cost), economic feasibility (construction cost, operating income, and investment payback period), social feasibility (resident acceptance, employment creation, and social harmony), and environmental feasibility (ecological restoration effect, pollutant emissions, and resource utilization rate). The IoT sensors mentioned in step S8 include soil moisture sensors, air quality sensors, noise sensors, and pedestrian flow statistics sensors. Real-time monitoring data is stored and analyzed through a cloud platform. The triggering conditions for the scheme adjustment process mentioned in step S9 include residents' satisfaction being below 80% for two consecutive years, ecological indicators failing to meet design standards, community population structure change rate exceeding 20%, or adjustments to urban planning policies.

Claims

1. A planning method for the reuse of idle community land in urban renewal, characterized by: Includes the following steps: S1: Collection of basic information on idle land. Through on-site surveys, GIS geographic information system retrieval and community archives, the location coordinates, land area, topography, soil quality, distribution of surrounding infrastructure, ownership information and historical usage records of idle land are collected to establish a basic information database. S2: Multi-dimensional classification of idle land. Based on the basic information database, idle land is classified from four dimensions: land use attributes, idle duration, site conditions and functional gaps in surrounding communities. The hierarchical clustering algorithm is used to classify idle land into five types: residential supplement, ecological leisure, public service, commercial support and mixed-use. S3: Precise community needs survey, which combines online questionnaires, offline interviews and focus group discussions to survey the living needs, ecological needs and commercial service needs of community residents, and form a priority list of needs based on the shortcomings of the existing functions of the community. S4: Preliminary design of the planning scheme. Based on the land use classification results and the priority list of needs, combined with the requirements of the city master plan and the community control detailed plan, determine the land use layout, building density, green space ratio and supporting facility configuration standards, use BIM building information model to conduct scheme visualization design, and form a preliminary planning scheme. S5: Ecological and low-carbon indicators are incorporated into the preliminary planning scheme, including the adoption of sponge city technology, the selection of native drought-resistant plants to construct green space systems, the priority use of prefabricated buildings and environmentally friendly building materials, the setting up of renewable energy utilization facilities, and the clarification of carbon emission control targets. S6: Feasibility assessment of the scheme. A fuzzy comprehensive evaluation model is established from four dimensions: technical feasibility, economic feasibility, social feasibility and environmental feasibility. The preliminary planning scheme is evaluated, and unqualified schemes are eliminated and returned to step S4 for redesign. S7: Public Announcement and Optimization of the Plan. The planning scheme that has passed the feasibility assessment will be publicly announced in the community to collect residents' feedback. The plan will be optimized and adjusted in conjunction with expert suggestions to form the final planning scheme. S8: Dynamic implementation of the planning scheme. Based on the final planning scheme, a phased implementation plan is formulated, clarifying the construction tasks, time nodes and responsible parties for each stage. During the implementation process, IoT sensors are used to monitor the site construction quality, ecological indicators and resident feedback in real time. S9: Dynamic adjustment of the plan. Each year, based on monitoring data and new needs for community development, the implementation effect of the plan is evaluated. If there is a decline in functional adaptability, failure to meet ecological indicators, or significant changes in residents' needs, the plan adjustment process is initiated, and steps S3-S7 are repeated to optimize and update the plan.

2. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The basic information collection in step S1 also includes obtaining current image data of idle land through drone aerial photography, and combining it with a GIS system to realize spatial visualization of land use information.

3. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The weights of the hierarchical clustering algorithm in step S2 are set as follows: land use attribute 15%, idle time 20%, site conditions 35%, and surrounding community functional gaps 30%. The weights of each indicator are determined by the entropy weight method.

4. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: In step S3, the priority list of needs is determined by the Analytic Hierarchy Process (AHP) to determine the weight of the needs, wherein the weight of basic public service needs is not less than 40%, and the weight of ecological leisure needs is not less than 25%.

5. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The carbon emission control target mentioned in step S5 requires that the carbon emissions per unit area of ​​land after planning be reduced by more than 30% compared with traditional planning schemes.

6. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The evaluation index of the fuzzy comprehensive evaluation model in step S6 includes 12 secondary indicators. Technical feasibility includes three items: construction difficulty, technology maturity, and maintenance cost. Economic feasibility includes three items: construction cost, operating income, and investment payback period. Social feasibility includes three items: residents' acceptance, employment creation, and social harmony. Environmental feasibility includes three items: ecological restoration effect, pollutant emissions, and resource utilization rate.

7. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The IoT sensors mentioned in step S8 include soil moisture sensors, air quality sensors, noise sensors, and pedestrian flow statistics sensors. Real-time monitoring data is stored and analyzed through a cloud platform.

8. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The triggering conditions for the scheme adjustment process in step S9 include: resident satisfaction being below 80% for two consecutive years, ecological indicators failing to meet design standards, community population structure change rate exceeding 20%, or urban planning policy adjustments.

9. The planning method for the reuse of idle community land in urban renewal according to claim 1, characterized in that: The process also includes a step of digitally archiving planning results, which involves digitally storing basic information databases, planning scheme drawings, evaluation reports, implementation monitoring data, and adjustment records to form a traceable and searchable planning results archive.

Images