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<p>The nighttime economy has become a vital indicator of urban economic vitality, yet the matching mechanisms between its spatiotemporal distribution patterns and urban spatial structures remain insufficiently studied. (2) Methods: Taking Chengdu as an example, based on multi-source data (nighttime light data, POI data, mobile signaling data, and comprehensive transportation data), this study comprehensively applies spatial analysis, a coupling coordination model, and path analysis methods to investigate the spatiotemporal distribution characteristics of the nighttime economy, as well as the interactive relationships among nighttime business formats, transportation networks, and crowd activities. It further quantifies the influence pathways among the four factors. (3) Results: The study reveals that Chengdu’s nighttime economy exhibits a “core-led, multi-point diffusion” spatial pattern, with high activity levels in central urban areas (e.g., Jinjiang District, Wuhou District) and significant but less coordinated growth in peripheral regions (e.g., Jinniu District, Chenghua District). A “holiday paradox” phenomenon is identified, where nighttime travel volume on weekdays surpasses that on holidays by 10.3%. Catering facilities dominate nighttime business formats, while sports and leisure facilities show the lowest coverage and significant regional disparities. A “high-coupling, low-coordination” phenomenon exists between transportation networks and crowd activities. Path analysis indicates that traffic conditions indirectly enhance the night economy vitality by promoting population travel (path coefficient = 0.292, <i>P</i> &lt; 0.05), while the direct impact of the supply of night service facilities on economic vitality is not significant. (4) Conclusions: The findings highlight the importance of optimizing facility layout and transportation networks, providing theoretical and practical insights for optimizing the spatial layout of the nighttime economy and formulating differentiated development strategies.</p>

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Balancing nighttime economy growth with urban sustainability: an integrated analysis of spatiotemporal dynamics, key drivers, and coupling coordination

  • 期刊论文

  • 发表日期：

    2026年1月21日

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  • Yannan Sun,
  • Kexin Xie,
  • Qi Ouyang,
  • Jun Zhou

摘要

The nighttime economy has become a vital indicator of urban economic vitality, yet the matching mechanisms between its spatiotemporal distribution patterns and urban spatial structures remain insufficiently studied. (2) Methods: Taking Chengdu as an example, based on multi-source data (nighttime light data, POI data, mobile signaling data, and comprehensive transportation data), this study comprehensively applies spatial analysis, a coupling coordination model, and path analysis methods to investigate the spatiotemporal distribution characteristics of the nighttime economy, as well as the interactive relationships among nighttime business formats, transportation networks, and crowd activities. It further quantifies the influence pathways among the four factors. (3) Results: The study reveals that Chengdu’s nighttime economy exhibits a “core-led, multi-point diffusion” spatial pattern, with high activity levels in central urban areas (e.g., Jinjiang District, Wuhou District) and significant but less coordinated growth in peripheral regions (e.g., Jinniu District, Chenghua District). A “holiday paradox” phenomenon is identified, where nighttime travel volume on weekdays surpasses that on holidays by 10.3%. Catering facilities dominate nighttime business formats, while sports and leisure facilities show the lowest coverage and significant regional disparities. A “high-coupling, low-coordination” phenomenon exists between transportation networks and crowd activities. Path analysis indicates that traffic conditions indirectly enhance the night economy vitality by promoting population travel (path coefficient = 0.292, P < 0.05), while the direct impact of the supply of night service facilities on economic vitality is not significant. (4) Conclusions: The findings highlight the importance of optimizing facility layout and transportation networks, providing theoretical and practical insights for optimizing the spatial layout of the nighttime economy and formulating differentiated development strategies.