夜间经济视角下居民出行与服务设施供给的耦合评价——基于南京市主城区居民手机信令数据和POI数据的分析

Coupling evaluation of residents'travel and service facility supply from the perspective of night economy:An analysis based on mobile phone signaling data and POI data in the main urban area of Nanjing

以南京市主城区的41个街道为基本空间单元,利用2023年的居民手机信令数据和POI等大数据,基于“使用—供给”框架构建指标体系,通过耦合协调度模型和波士顿矩阵法对居民夜间出行与夜间经济服务设施分布之间的关系进行评价。研究表明,夜间经济服务设施使用综合值极差较大,其分布呈反“J”型,空间上呈现出“由中心向外围圈层式递减”与“西高东低”相结合的格局。夜间经济服务设施综合供给值极差较小,呈“正态偏左”分布,空间上呈现出“三心多核”“围绕散布多核形成高地聚集区”的格局。在耦合评价的基础上将主城区街道分为四类,依次为高水平平衡区、供给滞后失衡区、低水平共损区和使用滞后失衡区。基于研究结论,建议从全局和分区两个维度出发,通过差异化措施促进夜间经济的整体繁荣和可持续发展。

Using the41 sub-districts in the main ur-ban area of Nanjing as the basic spatial units and leveraging big data such as mobile phone signaling,POI,and road networks from 2023,this study constructs an index system and measure-ment method under the"demand-supply"framework.The cou-pling coordination model and Boston Matrix method are employed to evaluate the relationship between residents'nighttime travel and the distribution of nighttime economic service facilities.The research indicates that there is a significant difference in the comprehensive utilization value of nighttime economic service fa-cilities,with their distribution following an inverted"J"shape and spatially presenting a pattern of"decreasing from the center to the periphery"combined with"higher in the west and lower in the east."The comprehensive supply value of nighttime economic service facilities has a smaller range and follows a"left-skewed normal"distribution,spatially exhibiting a pattern of"three centers and multiple cores,with high-density agglomeration areas formed around scattered cores."The streets after coupling evaluation can be classified into four categories:high-level balanced areas,supply-lagged unbalanced areas,low-level mutually detrimental areas,and demand-lagged unbalanced areas.Based on the research findings,it is suggested to promote the overall prosperity and sustainable development of the nighttime economy through differentiated measures from both global and sub-regional perspectives.