The Impact of Rainfall on Urban Human Mobility from Taxi GPS Data

Peng Guo, Yanling Sun, Qiyi Chen, Junrong Li and Zifei Liu
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Peng Guo: College of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Yanling Sun: College of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Qiyi Chen: College of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Junrong Li: College of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Zifei Liu: College of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China

Sustainability, 2022, vol. 14, issue 15, 1-16

Abstract: Rainfall severely impacts human mobility in urban areas and creates significant challenges for traffic management and urban planning. There is an urgent need to understand the impact of rainfall on residents’ travels from multiple perspectives. Taxi GPS data contains a large amount of spatiotemporal information about human activities and mobility in urban areas. For this study, we selected the central area of Zhuhai as the study area and used taxi data from August 2020 for the investigation. Firstly, we divided the taxi data into four scenarios, i.e., weekdays with and without rainfall and weekends with and without rainfall and analyzed and compared the trip characteristics for the different scenarios. Then, using the traffic analysis zone (TAZ) as the node and taxi flow between TAZs as edges, we constructed a network and compared the network indicators under the different scenarios. Finally, we used the Leiden algorithm to detect communities in different scenarios and compared the network indicators of the communities. The results showed that on days with rainfall, taxi flow and its spatial and temporal distribution pattern changed significantly, which affected transportation supply and demand. These findings may provide useful references for the formulation of urban transport policies that can adapt to different weather conditions.

Keywords: human mobility; rainfall; taxi GPS data; complex network; community; Zhuhai central areas (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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