《Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo》
打印
- 作者
- Zhiheng Chen;Peiran Li;Yanxiu Jin;Yuan Jin;Jinyu Chen;Wenjing Li;Xuan Song;Ryosuke Shibasaki;Min Chen;Da Yan;Haoran Zhang
- 来源
- CITIES,Vol.128,Issue1,Article 103803
- 语言
- 英文
- 关键字
- Night light pollution;Environmental justice;Location data;Mobility;Unfair exposure
- 作者单位
- Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan;LocationMind Inc., 3-5-2 Iwamotocho, Chiyoda-ku, Tokyo 1010032, Japan;Southern University of Science and Technology-University of Tokyo Joint Research Center for Super Smart Cities, Department of Computer and Engineering, Southern University of Science and Technology, 518055 Shenzhen, Guangdong, China;Building Energy Research Center, School of Architecture, Tsinghua University, China;Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, China;Center for Spatial Information Science, The University of Tokyo, 5-1-5 Kashiwanoha, 277-8568 Kashiwa-shi, Chiba, Japan;LocationMind Inc., 3-5-2 Iwamotocho, Chiyoda-ku, Tokyo 1010032, Japan;Southern University of Science and Technology-University of Tokyo Joint Research Center for Super Smart Cities, Department of Computer and Engineering, Southern University of Science and Technology, 518055 Shenzhen, Guangdong, China;Building Energy Research Center, School of Architecture, Tsinghua University, China;Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing, China
- 摘要
- Exposure to excessive ambient light at night (ALAN) has been proved to have a statistical association with human diseases. But current studies on ALAN exposure inequity have likely underestimated exposure levels due to the neglect of personal mobility. Based on mobile phone positioning big data and night-light satellite imagery, we conducted an empirical study on the inequity of ALAN exposure in Tokyo, Japan. We quantified the intensity of ALAN on the grid of mobile phone positioning data. Then we used the Gini coefficient and population-weighted mean exposure to evaluate the inequity of ALAN exposure among individuals and between different population groups. As a result, we found evidence of the inequity of ALAN exposure in Tokyo. For age inequity, younger people suffer higher exposure to light pollution at night, but children are an exception. For gender inequity, there is almost no inequity between men and women. For residence inequity, the average ALAN exposure of non-residents can reach up to about twice that of residents. At time and space nodes where there are more travel behaviors, such as central Tokyo during 18:00–24:00, we have detected higher exposure and stronger inequity, indicating that ignoring personal mobility will cause underestimation.