@Article{rig.2025.063997,
AUTHOR = {Pei Tan, Mingyang Lv, Huadong Guo, Changyong Dou, Xue Jin, Wuhe Li},
TITLE = {Evaluating the Nighttime Human Activity in Green Spaces among Three Major Urban Agglomerations in China Using Green Lighting Index},
JOURNAL = {Revue Internationale de Géomatique},
VOLUME = {34},
YEAR = {2025},
NUMBER = {1},
PAGES = {169--185},
URL = {http://www.techscience.com/RIG/v34n1/60391},
ISSN = {2116-7060},
ABSTRACT = {Green space plays an important role in the sustainable urban development. This study proposes the Green Lighting Index (GLI), integrating nighttime light data from SDGSAT-1 and the Normalized Difference Vegetation Index (NDVI) from Sentinel-2, to explore the nighttime human activity in green spaces across three major urban agglomerations in China: Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD), and the Greater Bay Area (GBA). The findings reveal that, for most green spaces, the relationship between nighttime lighting and green spaces is predominantly exclusionary. However, a synergistic relationship is observed in some vibrant green spaces characterized by abundant nighttime lighting. This synergy is evident in high GLI levels, which are strongly positively correlated with per capita Gross Domestic Product (GDP). This research underscores the importance of integrating nighttime perspectives into green space studies. We believe GLI could be used in the assessment of green space quality and contribute to the development of sustainable cities.},
DOI = {10.32604/rig.2025.063997}
}