Population Exposure Changes to One Heat Wave and the Influencing Factors Using Mobile Phone Data—A Case Study of Zhuhai City, China

Junrong Li, Peng Guo, Yanling Sun, Zifei Liu, Xiakun Zhang and Xinrui Pei
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Junrong Li: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Peng Guo: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Yanling Sun: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Zifei Liu: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Xiakun Zhang: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China
Xinrui Pei: School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China

Sustainability, 2022, vol. 14, issue 2, 1-14

Abstract: The frequent occurrence of extreme high temperature weather and heat waves has greatly affected human life. This paper analyzes population exposure and its influencing factors during a heat wave incident in Zhuhai from 6 to 12 September 2021 based on real-time mobile phone data and meteorological data. The results show that the most areas of Zhuhai are affected by high temperature during this heat wave incident. The hourly population exposure is directly proportional to hourly heat wave coverage. In terms of time dimension, the overall population exposure shows a trend of decreasing and then increasing. In terms of spatial dimensions, high population exposure is concentrated in areas such as primary and secondary schools, colleges and universities, office buildings, and residential areas. Low exposure is distributed in most of the mountainous areas along the southern coast. In addition, the leading factors that cause changes in population exposure in different periods of the heat wave cycle are different, which rely more on either climatic factors or population factors.

Keywords: heat wave; high temperature; population exposure; mobile phone data; impact factor; Zhuhai City (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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