Evaluating urban development and socio-economic disparity in India through nighttime light data

作     者：YU Jingtong LIU Lingcen BAN Yifang ZHANG Qian 

作者机构：College of Land Science and TechnologyChina Agricultural UniversityBeijing 100083China Division of GeoinformaticsKTH Royal Institute of TechnologyStockholm 10044Sweden 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2024年第34卷第12期

页      面：2440-2456页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：Strategic Priority Research Program of Chinese Academy of Sciences No.XDA20010303 

主　　题：socio-economic inequality Nighttime Light Development Index(NLDI) regional disparity Indian cities 

摘      要：Balanced development and the reduction of inequality are central objectives of the United Nations Sustainable Development Goals(SDGs).This study explores the use of Nighttime Light(NTL)brightness and the Nighttime Light Development Index(NLDI)as indicators of socioeconomic development in urban centers,focusing on six Indian *** examines the correlation between these indices and socioeconomic inequality across affluent neighborhoods,urban slums,downtown areas,and general urban areas in 2015,2018,and *** results reveal that lighting brightness in affluent areas can be lower than that in bustling downtowns,due to factors such as lower residential *** challenges the conventional assumption that higher NTL necessarily indicates greater *** study further confirmed significant developmental disparities between well-lit downtowns and poorly illuminated peripheral slum areas,as reflected by lower NLDI ***,the results uncover a phenomenon termed“same value but different spectrumbased on a careful examination of NLDI values of urban centers and their corresponding *** suggests that NLDI alone may not fully capture the complexity of urban development,and that underlying development trajectories,along with on-the-ground realities,must be further *** findings emphasize the importance of applying NLDI for urban internal *** addition,the study highlights the necessity for nuanced urban planning and targeted policy interventions specifically tailored to the unique conditions of different urban areas.