JOURNAL OF NATURAL RESOURCES

Research on urban health check methods based on the complexity of urban spatial relationships

WANG Kai, XU Hui, LUO Qian-yi, ZHAI Jian, LI Chang-feng, LI Hao, JIA Peng-fei, WANG Yi-ti, LI Qian, MAO Ming-rui

JOURNAL OF NATURAL RESOURCES, 2025, 40(1): 91-103. DOI: 10.31497/zrzyxb.20250106

分析切入点	分析工具	涉及相关空间规律及通用模型算法	主要应用场景
空间多尺度	问题台账—问题清单汇总法	幂律指数下的各类设施、要素在不同空间尺度下的分配/汇总关系泰森多边形供需有效匹配法^④	识别关键问题，识别主要问题的子系统
空间形态	指标关联分析法	相关性矩阵回归法、OLS模型、GWR地理加权模型、主成分分析方法、随机森林等	识别影响空间可持续演化/子系统演化的主要指标，确定主要影响指标的关键阈值
空间差异性	多维聚类法	K-means聚类、自组织地图（Self-Organization Map）等多维聚类方法	从整体结构上找到问题地区，微观尺度上识别重点的问题单元

Table 4 Analytic toolkit of urban health check based on spatial connectivity

Other figure/table from this article

Table 1 Urban health check indicators covering four spatial scales
Fig. 1 Holistic urban health check based on complexity theory
Table 2 Construction method of urban health check index system
Table 3 List of spatial units often used in urban planning
Fig. 2 Problem identification and categorization of multi-scale linkages
Table 5 Interrelationships among the indicators of urban vitality
Fig. 3 Comparison of the distribution of clustering results of commercial districts (including business districts) in Beijing, Shanghai, Guangzhou and Shenzhen
Fig. 4 Distribution of numerical thresholds of some indicators of commercial districts (including business districts) in Beijing, Shanghai, Guangzhou and Shenzhen
Table 6 Recommended planning parameters for urban block units in central areas of major cities (benchmarking Shanghai and Shenzhen central areas)