Urban Vulnerability under the Extreme High Temperatures in the Chengdu-Chongqing Area, Western China

Zhaoqi Yin, Weipeng Li (), Zhongsheng Chen, Li Zhu and Panheng Shui
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Zhaoqi Yin: School of Geographical Sciences, China West Normal University, Nanchong 637002, China
Weipeng Li: School of Geographical Sciences, China West Normal University, Nanchong 637002, China
Zhongsheng Chen: School of Geographical Sciences, China West Normal University, Nanchong 637002, China
Li Zhu: Severe Weather in Northeast Sichuan Key Laboratory of Nanchong City, Nanchong 637000, China
Panheng Shui: School of Geographical Sciences, China West Normal University, Nanchong 637002, China

Sustainability, 2024, vol. 16, issue 11, 1-17

Abstract: The frequent occurrence of extreme high-temperature events in the summer under global climate change poses a serious threat to Chinese society. An urban vulnerability evaluation system for counties in the Chengdu-Chongqing Area was constructed to calculate the urban vulnerability and distribution characteristics of each district. In this study, a vulnerability-contribution model was used to analyze the types of urban vulnerability in the Chengdu-Chongqing Area. Additionally, combined with the optimal parameter geographic detector (OPGD) model, the main influencing factors and interactions of urban vulnerability were explored. The results show that: ① The urban vulnerability of the Chengdu-Chongqing Area is high in the east and low in the west, with vulnerability degree mostly below the medium degree. ② Exposure contributes more than 50% to severe and general urban vulnerability in the region, while adaptability contributes the highest proportion to mild urban vulnerability, reaching 47.53%. ③ From the factor perspective, the impact ratio of high-temperature days on urban vulnerability is 39.1%, and the interaction between various meteorological factors and social factors produces an enhancement effect, with the highest interaction q -value reaching 0.7863.

Keywords: urban vulnerability; contribution rate; optimal parameter geographic detector; cities in western China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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