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Spatial Coupling Characteristics Between Tourism Point of Interest (POI) and Nighttime Light Data of the Changsha–Zhuzhou–Xiangtan Metropolitan Area, China

Author

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  • Jiangzhou Wu

    (College of National Park & Tourism, Central South University of Forestry and Technology, Changsha 410004, China
    National Forestry and Grassland Engineering Research Center for Forest Tourism, Changsha 410004, China)

  • Qing Zhang

    (College of National Park & Tourism, Central South University of Forestry and Technology, Changsha 410004, China
    National Forestry and Grassland Engineering Research Center for Forest Tourism, Changsha 410004, China)

  • Zhida Li

    (Graduate School of Business Administration, Keio University, Tokyo 223-8526, Japan)

Abstract

Metropolitan areas, as pivotal hubs for global tourism and economic growth, necessitate sustainable spatial planning to balance development with ecological preservation. As critical geospatial datasets, nighttime light (NTL) and point of interest (POI) data enable the robust analysis of urban structural patterns. Building upon coupling coordination theory and polycentric spatial frameworks, this study investigates the spatial interdependencies between tourism POI and NTL data in China’s Changsha–Zhuzhou–Xiangtan Metropolitan Area (CZTMA). Key findings reveal high spatial coupling homogeneity, with three urban cores exhibiting radial value attenuation from city centers toward the tri-city intersection; concentric zonation patterns where NTL-dominant rings encircle high-coupling nuclei, contrasting with sporadic POI-intensive clusters in peri-urban towns; and sector-specific luminosity responses, where sightseeing infrastructure demonstrates the strongest localized NTL impacts through multiscale geographically weighted regression (MGWR). These findings establish a novel “data fusion-spatial coupling-governance” analytical framework and provide actionable insights for policymakers to harmonize tourism-driven urbanization with ecological resilience, contributing to United Nations Sustainable Development Goal (SDG) 11 (Sustainable Cities).

Suggested Citation

  • Jiangzhou Wu & Qing Zhang & Zhida Li, 2025. "Spatial Coupling Characteristics Between Tourism Point of Interest (POI) and Nighttime Light Data of the Changsha–Zhuzhou–Xiangtan Metropolitan Area, China," Sustainability, MDPI, vol. 17(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2391-:d:1608398
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    References listed on IDEAS

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