ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLVIII-1-W2-2023-369-2023 HOW AIR QUALITY AFFECTS HUMAN MOBILITY PATTERNS: AN EXPLORATORY ANALYSIS Xu S. 1 2 Zhao Y. 1 2 Li S. 3 School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, 15 Yongyuan Road, Beijing, 102616, China Key Laboratory of Urban Spatial Informatics, Ministry of Natural Resources of the People’s Republic of China, 15 Yongyuan Road, Beijing, 102616, China Department of Civil Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, M5B 2K3, Canada 13 12 2023 XLVIII-1/W2-2023 369 374 Copyright: © 2023 S. Xu et al. 2023 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/369/2023/isprs-archives-XLVIII-1-W2-2023-369-2023.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/369/2023/isprs-archives-XLVIII-1-W2-2023-369-2023.pdf

Air quality acts as an important factor that human may consider as they make decisions on when and where they would go. In order to access how much the air quality affects human mobility patterns, the air quality was measured using air quality index (AQI) and human mobility patterns were measured by travel volume and travel distance of shared bikes. Their correlation that presents on weekdays and weekends as well as in different administrative districts were investigated using Spearman correlation analysis method. A case study was conducted in Beijing, China using bike sharing data and air quality data ranging from May 10 to 16, 2017. The results show that travel distance is more sensitive to air quality on weekdays such as Changping District (−0.20), Haidian District (−0.13), Shunyi District (−0.12). The travel volume on weekdays is less sensitive to air quality due to commuting. The travel volume has a negative relationship with AQI on weekends. Fengtai District, Huairou District, Pinggu District are more susceptible to severe air quality, leading to a reduction in bike traveling distance. This work sheds light on understanding human-environment coupling mechanism and promoting urban sustainable development.