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

Jiangzhou Wu, Qing Zhang () and Zhida Li
Additional contact information
Jiangzhou Wu: College of National Park & Tourism, Central South University of Forestry and Technology, Changsha 410004, China
Qing Zhang: College of National Park & Tourism, Central South University of Forestry and Technology, Changsha 410004, China
Zhida Li: Graduate School of Business Administration, Keio University, Tokyo 223-8526, Japan

Sustainability, 2025, vol. 17, issue 6, 1-19

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).

Keywords: nighttime light; point of interest; tourism spatial structure; coupling analysis; Changsha–Zhuzhou–Xiangtan Metropolitan Area (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/6/2391/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/6/2391/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:6:p:2391-:d:1608398

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().