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Spatio-Temporal Features of China’s Urban Fires: An Investigation with Reference to Gross Domestic Product and Humidity

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  • Zhenbo Wang

    (Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences, Beijing 100101, China
    Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xiaorui Zhang

    (Department of Urban Planning, Hefei University of Technology, Hefei 230009, China)

  • Bo Xu

    (China Academy of Safety Science and Technology, Beijing 100012, China)

Abstract

Frequent fire accidents pose a serious threat to human life and property. The spatio-temporal features of China’s urban fires, and their drivers should be investigated. Based on the Spatio-temporal Dynamic panel data Model (SDM), and using fire data gathered from 337 Chinese cities in 2000 to 2009, the influence of spatio-temporal factors on the frequency of urban fires was analyzed. The results show that (1) the overall fire incidence of China increased annually before 2002 and reduced significantly after 2003, and then high fire incidence increased in western China; (2) Spatio-temporal factors play a significant role in the frequency of Chinese urban fires; specifically, the fire assimilation effect, fire inertia effect and fire caution effect. The ratio of fire incidence of China has reduced significantly, and the focus of fire incidence moved towards the western region of China. GDP and humidity have a significant effect on urban fire situation change in China, and these effects may be referred to as “fire assimilation effects”, “fire inertia effects” and “fire caution effects”.

Suggested Citation

  • Zhenbo Wang & Xiaorui Zhang & Bo Xu, 2015. "Spatio-Temporal Features of China’s Urban Fires: An Investigation with Reference to Gross Domestic Product and Humidity," Sustainability, MDPI, vol. 7(7), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:7:p:9734-9752:d:53012
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    References listed on IDEAS

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    Cited by:

    1. John Twigg & Nicola Christie & James Haworth & Emmanuel Osuteye & Artemis Skarlatidou, 2017. "Improved Methods for Fire Risk Assessment in Low-Income and Informal Settlements," IJERPH, MDPI, vol. 14(2), pages 1-12, February.
    2. Dingli Liu & Zhisheng Xu & Chuangang Fan, 2019. "Predictive analysis of fire frequency based on daily temperatures," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 1175-1189, July.

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