IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2021i1p183-d710614.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/1/183/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/1/183/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bevilacqua, Piero, 2021. "The effectiveness of green roofs in reducing building energy consumptions across different climates. A summary of literature results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    2. Barrak Alahmad & Linda Powers Tomasso & Ali Al-Hemoud & Peter James & Petros Koutrakis, 2020. "Spatial Distribution of Land Surface Temperatures in Kuwait: Urban Heat and Cool Islands," IJERPH, MDPI, vol. 17(9), pages 1-12, April.
    3. Yang, Jiachuan & Wang, Zhi-Hua & Kaloush, Kamil E., 2015. "Environmental impacts of reflective materials: Is high albedo a ‘silver bullet’ for mitigating urban heat island?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 830-843.
    4. Deng, Ji-Yu & Wong, Nyuk Hien & Zheng, Xin, 2021. "Effects of street geometries on building cooling demand in Nanjing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    5. Yutong Tang & Fengyu Gao & Chen Wang & Merit M. Huang & Mabao Wu & Heng Li & Zhuo Li, 2023. "Vertical Greenery System (VGS) Renovation for Sustainable Arcade-Housing: Building Energy Efficiency Analysis Based on Digital Twin," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    6. Anna Zaręba & Alicja Krzemińska & Renata Kozik, 2021. "Urban Vertical Farming as an Example of Nature-Based Solutions Supporting a Healthy Society Living in the Urban Environment," Resources, MDPI, vol. 10(11), pages 1-18, October.
    7. Taleghani, Mohammad, 2018. "Outdoor thermal comfort by different heat mitigation strategies- A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2011-2018.
    8. H. Allen Klaiber & Joshua K. Abbott & V. Kerry Smith, 2017. "Some Like It (Less) Hot: Extracting Trade-Off Measures for Physically Coupled Amenities," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(4), pages 1053-1079.
    9. Susan Williams & Peng Bi & Jonathan Newbury & Guy Robinson & Dino Pisaniello & Arthur Saniotis & Alana Hansen, 2013. "Extreme Heat and Health: Perspectives from Health Service Providers in Rural and Remote Communities in South Australia," IJERPH, MDPI, vol. 10(11), pages 1-19, October.
    10. Weihua Dong & Zhao Liu & Lijie Zhang & Qiuhong Tang & Hua Liao & Xian'en Li, 2014. "Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    11. Shi, Luyang & Luo, Zhiwen & Matthews, Wendy & Wang, Zixuan & Li, Yuguo & Liu, Jing, 2019. "Impacts of urban microclimate on summertime sensible and latent energy demand for cooling in residential buildings of Hong Kong," Energy, Elsevier, vol. 189(C).
    12. Fei Li & Tan Yigitcanlar & Madhav Nepal & Kien Nguyen Thanh & Fatih Dur, 2022. "Understanding Urban Heat Vulnerability Assessment Methods: A PRISMA Review," Energies, MDPI, vol. 15(19), pages 1-34, September.
    13. Meng, Fanchao & Zhang, Lei & Ren, Guoyu & Zhang, Ruixue, 2023. "Impacts of UHI on variations in cooling loads in buildings during heatwaves: A case study of Beijing and Tianjin, China," Energy, Elsevier, vol. 273(C).
    14. Sara Wilkinson & Renato Castiglia Feitosa, 2015. "Retrofitting Housing with Lightweight Green Roof Technology in Sydney, Australia, and Rio de Janeiro, Brazil," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    15. De Valck, Jeremy & Beames, Alistair & Liekens, Inge & Bettens, Maarten & Seuntjens, Piet & Broekx, Steven, 2019. "Valuing urban ecosystem services in sustainable brownfield redevelopment," Ecosystem Services, Elsevier, vol. 35(C), pages 139-149.
    16. Tao Chen & Anchang Sun & Ruiqing Niu, 2019. "Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    17. Vaneckova, Pavla & Beggs, Paul J. & Jacobson, Carol R., 2010. "Spatial analysis of heat-related mortality among the elderly between 1993 and 2004 in Sydney, Australia," Social Science & Medicine, Elsevier, vol. 70(2), pages 293-304, January.
    18. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    19. Maria Papathoma-Koehle & Catrin Promper & Roxana Bojariu & Roxana Cica & András Sik & Kinga Perge & Peter László & Erika Balázs Czikora & Alexandru Dumitrescu & Cosmin Turcus & Marius-Victor Birsan & , 2016. "A common methodology for risk assessment and mapping for south-east Europe: an application for heat wave risk in Romania," 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. 82(1), pages 89-109, May.
    20. Seong-Il Park & Taek-Hyoung Ryu & Ick-Chang Choi & Jung-Sup Um, 2019. "Evaluating the Operational Potential of LRV Signatures Derived from UAV Imagery in Performance Evaluation of Cool Roofs," Energies, MDPI, vol. 12(14), pages 1-14, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:183-:d:710614. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.