Natural and Socioeconomic Factors and Their Interactive Effects on House Collapse Caused by Typhoon Mangkhut
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ARTICLE
Natural and Socioeconomic Factors and Their Interactive Effects on House Collapse Caused by Typhoon Mangkhut Xiangxue Zhang1,2 • Juan Nie3 • Changxiu Cheng1,4,5 • Chengdong Xu2 Ling Zhou2 • Shi Shen1,4 • Yuan Pei3
•
Accepted: 2 November 2020 The Author(s) 2020
Abstract Typhoons are an environmental threat that mainly affects coastal regions worldwide. The interactive effects of natural and socioeconomic factors on the losses caused by typhoon disasters need further examination. In this study, GeoDetector was used to quantify the determinant powers of natural and socioeconomic factors and their interactive effects on the rate of house collapse in Guangdong and Guangxi Provinces of southeast China caused by Typhoon Mangkhut in 2018. We further identify the dominant factors that influenced the disaster losses. The local indicators of spatial association method was then introduced to explain the spatial heterogeneity of the disaster losses under the influence of the dominant factor. The results indicate that both natural and socioeconomic factors significantly affected the house collapse rate. The maximum precipitation was the dominant factor, with a q value of 0.21, followed by slope and elevation, with q values & Changxiu Cheng [email protected] & Chengdong Xu [email protected] 1
Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
2
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3
National Disaster Reduction Center of China, Ministry of Emergency Management, Beijing 100124, China
4
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
5
National Tibetan Plateau Data Center, Beijing 100101, China
of 0.17 and 0.13, respectively. Population density and per capita gross domestic product had q values of 0.15 and 0.13, respectively. Among all of the interactive effects of the influencing factors, the interactive effect of elevation and the ratio of brick-wood houses had the greatest influence (q = 0.63) on the house collapse rate. These results can contribute to the formulation of more specific safety and property protection policies. Keywords China Coastal regions GeoDetector House collapse rate Interactive effects Typhoon Mangkhut
1 Introduction Typhoons are one of the most frequent and severe natural hazards that occur worldwide (Peduzzi et al. 2012; Mei et al. 2015). They not only cause losses of life and property, but also have major socioeconomic effects on coastal areas (Lin et al. 2015; Yan et al. 2016). China experiences great damage from typhoons, and economic development and the lives of over 250 million people have been severely affected (Liu et al. 2009; Xu et al. 2013). The issue of public safety in the context of increasing typhoon risks is attracting inc
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