Urban key area commercial space evolution evaluation system based on multi-dimensional space analysis

Abstract

The invention relates to the technical field of city planning, in particular to a city key area commercial space evolution evaluation system based on multi-dimensional space analysis. The system comprises data collection and preprocessing, commercial space gathering feature analysis, commercial state configuration analysis, evolution feature recognition and evaluation and commercial space evolution evaluation model construction. Wherein the evolution feature identification and evaluation specifically comprises the steps of comparing analysis results in different time periods, identifying an evolution path of a commercial space in a city key area, and classifying according to station area attributes. The urban key area commercial space evolution evaluation system is constructed through fusion of multi-dimensional space analysis methods such as kernel density analysis, Ripley's K function analysis, standard deviation ellipse analysis and commercial index analysis, and systematic and quantitative evaluation of urban key area commercial space aggregation intensity, distribution modes, commercial state configuration and evolution paths is realized.

Description

Technical Field

[0001] This invention relates to the field of urban planning technology, and in particular to an evaluation system for the evolution of commercial space in key urban areas based on multi-dimensional spatial analysis. Background Technology

[0002] In existing studies on the spatial development of key urban areas, researchers mainly use spatial statistical methods from geography to quantitatively identify the spatial pattern characteristics of commercial centers and commercial hotspots. Traditional research on commercial center identification and spatial patterns primarily relies on data from questionnaires, field surveys, and statistical data. In recent years, with the development of big data technology, multi-source data such as Points of Interest (POIs) have emerged, offering advantages such as high accuracy, large coverage, and rapid data updates. This has enriched the data sources for research on commercial center identification, spatial analysis, and business district site selection.

[0003] The existing technology has the following specific drawbacks: (1) The evaluation methods are singular and lack systematicity: Existing studies mostly use simple spatial statistical methods, such as central place theory and business district analysis, lacking a multi-dimensional and quantitative spatial analysis system. Traditional methods only focus on the composition of business formats and ignore the dynamic relationship between spatial distribution characteristics and business format configuration.

[0004] (2) Insufficient quantification in the evaluation system: Existing methods only assess the number or area of ​​commercial outlets, which cannot quantify the agglomeration intensity and scale changes of commercial space, making it difficult to determine the stage of development of commercial space. (3) Insufficient analysis of the relationship between business format configuration and spatial distribution: Existing research lacks dynamic analysis of the relationship between business format configuration and spatial distribution, which cannot guide the optimization of business format configuration. It has not established a dynamic correlation model between business format configuration and spatial distribution, and cannot identify the optimization space of business format configuration.

[0005] (4) Lack of dynamic evaluation tools: Existing research evaluation methods only provide static snapshots and have not established a time dimension analysis framework for the evolution of commercial space. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of existing technologies by proposing a multi-dimensional spatial analysis-based assessment system for the evolution of commercial spaces in key urban areas.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: Design a multi-dimensional spatial analysis-based assessment system for the evolution of commercial space in key urban areas, including: Data collection and preprocessing, analysis of commercial space agglomeration characteristics, analysis of commercial format configuration, identification and evaluation of evolutionary characteristics, and construction of commercial space evolution evaluation models; Evolutionary feature identification and assessment specifically involves comparing the analysis results of different time periods, identifying the evolution path of commercial space in key urban areas, classifying commercial spaces according to station area attributes, analyzing the evolution patterns of commercial space in key urban areas of different locations, and assessing the relationship between commercial space evolution and urban level and station-city integration.

[0008] Preferably, the data collection and preprocessing specifically involves collecting POI data, road network data, and urban functional positioning data for key urban areas; classifying and standardizing the POI data; dividing it according to business formats; performing coordinate system transformation on the POI data; uniformly using the WGS84 coordinate system to perform spatial correction on the POI data to eliminate positioning errors in GIS; and performing time standardization on the data to ensure the comparability of data from different time periods.

[0009] Preferably, the business format configuration analysis specifically involves constructing a business index Z. in It is used to characterize the magnitude of changes in the number of businesses in each circle, eliminate the interference of buffer zone area to analyze the changes in the agglomeration status of different business formats in each circle, and identify the location, intensity, form and expansion direction of hot spots of each business format through core density analysis.

[0010] Preferably, the construction of the commercial space evolution assessment model specifically involves building a multi-dimensional assessment indicator system, setting quantitative standards for each indicator, constructing an assessment model for the evolution of commercial spaces in key urban areas based on the multi-dimensional analysis results, generating an assessment report on the evolution of commercial spaces in key urban areas, and presenting the assessment results intuitively through visualization, thereby providing a basis for business planning decisions.

[0011] Preferably, the analysis of commercial space agglomeration characteristics specifically employs kernel density analysis to generate kernel density distribution maps of commercial spaces in key urban areas, identify commercial hotspots and spatial gradient changes, uses Ripley's K-function method to quantify the agglomeration intensity and the most significant agglomeration scale of commercial spaces at different scales, and uses standard deviation elliptic analysis to describe the geometric distribution pattern, spatial orientation, distribution range, and commercial format configuration of commercial spaces.

[0012] The present invention proposes a multi-dimensional spatial analysis-based evaluation system for the evolution of commercial space in key urban areas. The beneficial effects are as follows: This multi-dimensional spatial analysis-based evaluation system for the evolution of commercial space in key urban areas integrates multi-dimensional spatial analysis methods such as kernel density analysis, Ripley's K-function analysis, standard deviation ellipse analysis, and commercial index analysis to construct an evaluation system for the evolution of commercial space in key urban areas, thereby achieving a systematic and quantitative evaluation of the agglomeration intensity, distribution pattern, business configuration, and evolution path of commercial space in key urban areas. Attached Figure Description

[0013] Figure 1 This is a system framework diagram of an urban key area commercial space evolution assessment system based on multi-dimensional spatial analysis proposed in this invention. Detailed Implementation

[0014] 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.

[0015] Reference Figure 1 An evaluation system for the evolution of commercial space in key urban areas based on multi-dimensional spatial analysis: The system includes: data collection and preprocessing, analysis of commercial space agglomeration characteristics, analysis of commercial format configuration, identification and evaluation of evolutionary characteristics, and construction of commercial space evolution evaluation models; The data collection and preprocessing specifically involves collecting POI data, road network data, and urban functional positioning data from key urban areas; classifying and standardizing the POI data according to business formats; performing coordinate system transformation on the POI data; uniformly using the WGS84 coordinate system to perform spatial correction on the POI data to eliminate positioning errors in GIS; and standardizing the data over time to ensure the comparability of data from different time periods.

[0016] The analysis of commercial space agglomeration characteristics specifically employs kernel density analysis to generate kernel density distribution maps of commercial spaces in key urban areas, identify commercial hotspots and spatial gradient changes, uses Ripley's K-function method to quantify the agglomeration intensity and most significant agglomeration scale of commercial spaces at different scales, and uses standard deviation elliptic analysis to describe the geometric distribution pattern, spatial directionality, distribution range, and commercial format configuration of commercial spaces.

[0017] The core idea of ​​Ripley's K-function method is to comprehensively evaluate the characteristics of point patterns at different spatial scales (distances) by calculating the number of other points within circles of different radii centered on each point.

[0018] The fusion kernel density analysis was performed using the following formula: in, Let x be the estimated density value at position x; n be the total number of points; K is a symmetric probability density function with an integral of 1 (such as a Gaussian function), which determines how the influence of a point decays with distance; h is the bandwidth, which is the most critical parameter in kernel density analysis. It controls the "width" of the kernel function, i.e., the extent of the influence of each point; From position x to the i-th point The distance.

[0019] Through multi-dimensional analysis (kernel density analysis, Ripley's K-function analysis, standard deviation ellipse analysis, and business index analysis), we can comprehensively assess the agglomeration intensity, scale changes, and business configuration of commercial spaces, providing a scientific basis for the optimal allocation of business formats.

[0020] The business format configuration analysis specifically involves constructing a business index Z. in It is used to characterize the magnitude of changes in the number of businesses in each circle, eliminate the interference of buffer zone area to analyze the changes in the agglomeration status of different business formats in each circle, and identify the location, intensity, form and expansion direction of hot spots of each business format through core density analysis.

[0021] Evolutionary feature identification and assessment specifically involves comparing the analysis results of different time periods, identifying the evolution path of commercial space in key urban areas, classifying commercial spaces according to station area attributes, analyzing the evolution patterns of commercial space in key urban areas of different locations, and assessing the relationship between commercial space evolution and urban level and station-city integration.

[0022] Distinguishing the differentiated evolution patterns of key areas in different types of cities provides scientific support for the formulation of differentiated policies, enabling precise planning with "one policy for each area".

[0023] The construction of the commercial space evolution assessment model specifically involves building a multi-dimensional assessment indicator system, setting quantitative standards for each indicator, constructing an assessment model for the evolution of commercial spaces in key urban areas based on the multi-dimensional analysis results, generating an assessment report on the evolution of commercial spaces in key urban areas, and presenting the assessment results intuitively through visualization, providing a basis for business planning decisions.

[0024] A dynamic assessment tool for commercial spaces in key urban areas has been developed, which can assess the stage of commercial development in the area in real time, provide a basis for the timing of commercial planning, and effectively avoid the phenomenon of "ghost towns".

[0025] This system can accurately reveal the clustering and distribution of commercial outlets and effectively identify the evolutionary path of commercial spaces. It can be applied to the assessment of commercial spaces in key urban areas across the country, and has broad applicability and promotional value. It provides a dynamic assessment tool for commercial planning in key urban areas and a scientific basis for optimizing resource allocation and formulating differentiated policies under development strategies.

[0026] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A city key area commercial space evolution evaluation system based on multi-dimensional space analysis, characterized in that: The system comprises data collection and preprocessing, commercial space clustering feature analysis, commercial format configuration analysis, evolution feature identification and evaluation, and commercial space evolution evaluation model construction. The evolution feature identification and evaluation specifically compares the analysis results of different time periods, identifies the evolution path of the commercial space of the city key area, analyzes the evolution law of the commercial space of the city key area in different locations according to the station area attribute classification, and evaluates the relationship between the evolution of the commercial space and the city energy level and the station city integration degree. 2.The urban key area commercial space evolution evaluation system based on multi-dimensional space analysis of claim 1, wherein, The data collection and preprocessing specifically collects city key area POI data, road network data and city function positioning data, classifies and standardizes the POI data, divides the POI data according to the commercial format, converts the coordinate system of the POI data, uniformly uses the WGS84 coordinate system for spatial correction of the POI data, eliminates the positioning error in GIS, standardizes the data in time, and ensures the comparability of the data in different time periods. 3.The urban key area commercial space evolution evaluation system based on multi-dimensional space analysis of claim 1, wherein, The commercial format configuration analysis specifically constructs a business index Z in , which is used to depict the variation range of the number of businesses in each circle layer, eliminate the interference of the buffer area, analyze the variation of the agglomeration state of different formats in each circle layer, and identify the location, intensity, shape and expansion direction of hotspots of each format through kernel density analysis of each format. 4.The system of claim 1, wherein, The commercial space evolution evaluation model construction specifically constructs a multi-dimensional evaluation index system, sets quantitative standards for each index, constructs a city key area commercial space evolution evaluation model based on multi-dimensional analysis results, generates a city key area commercial space evolution evaluation report, and visually displays the evaluation results to intuitively present the evaluation results and provide decision-making basis for commercial planning. 5.The system for evaluating the evolution of commercial space in a key urban area based on multi-dimensional spatial analysis according to any one of claims 1-4, characterized in that, The commercial space clustering feature analysis specifically generates a kernel density distribution map of the commercial space of the city key area by using the kernel density analysis method, identifies the commercial hot spot area and the spatial gradient change, quantifies the clustering intensity and the most significant aggregation scale of the commercial space at different scales by using the Ripley's K function method, and describes the geometric distribution mode, spatial directionality, distribution range and commercial format configuration analysis of the commercial space by using the standard deviation ellipse analysis method.

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