Using the 41 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 eco-nomic 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 agglomer-ation 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 unbal-anced 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.
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