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High-Temperature Disaster Risk Assessment for Urban Communities: A Case Study in Wuhan, China

Author

Listed:
  • Zhuoran Shan

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuehui An

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • L’ei Xu

    (China Nerin Engineering Company Limited, Nanchang 330199, China)

  • Man Yuan

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

High-temperature risk disaster, a common meteorological disaster, seriously affects people’s productivity, life, and health. However, insufficient attention has been paid to this disaster in urban communities. To assess the risk of high-temperature disasters, this study, using remote sensing data and geographic information data, analyzes 973 communities in downtown Wuhan with the geography-weighted regression method. First, the study evaluates the distribution characteristics of high temperatures in communities and explores the spatial differences of risks. Second, a metrics and weight system is constructed, from which the main factors are determined. Third, a risk assessment model of high-temperature disasters is established from disaster-causing danger, disaster-generating sensitivity, and disaster-bearing vulnerability. The results show that: (a) the significance of the impact of the built environment on high-temperature disasters is obviously different from its coefficient space differentiation; (b) the risk in the old city is high, whereas that in the area around the river is low; and (c) different risk areas should design built environment optimization strategies aimed specifically at the area. The significance of this study is that it develops a high-temperature disaster assessment framework for risk identification, impact differentiation, and difference optimization, and provides theoretical support for urban high-temperature disaster prevention and mitigation.

Suggested Citation

  • Zhuoran Shan & Yuehui An & L’ei Xu & Man Yuan, 2021. "High-Temperature Disaster Risk Assessment for Urban Communities: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 19(1), pages 1-17, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:183-:d:710614
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    References listed on IDEAS

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    1. Harlan, Sharon L. & Brazel, Anthony J. & Prashad, Lela & Stefanov, William L. & Larsen, Larissa, 2006. "Neighborhood microclimates and vulnerability to heat stress," Social Science & Medicine, Elsevier, vol. 63(11), pages 2847-2863, December.
    2. Cui, Ying & Yan, Da & Hong, Tianzhen & Ma, Jingjin, 2017. "Temporal and spatial characteristics of the urban heat island in Beijing and the impact on building design and energy performance," Energy, Elsevier, vol. 130(C), pages 286-297.
    3. Akbari, Hashem & Konopacki, Steven, 2004. "Energy effects of heat-island reduction strategies in Toronto, Canada," Energy, Elsevier, vol. 29(2), pages 191-210.
    4. Man Yuan & Mingrui Yan & Zhuoran Shan, 2021. "Is Compact Urban Form Good for Air Quality? A Case Study from China Based on Hourly Smartphone Data," Land, MDPI, vol. 10(5), pages 1-14, May.
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