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Influence of the Built Environment on Community Flood Resilience: Evidence from Nanjing City, China

Author

Listed:
  • Yi Chen

    (School of Architecture, Nanjing Tech University, Nanjing 211816, China)

  • Tao Liu

    (College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Ruishan Chen

    (Ministry of Education Key Laboratory for Geographic Information Science, School of Geographical Sciences, and Institute of Eco-Chongming, East China Normal University, Shanghai 200241, China)

  • Mengke Zhao

    (School of Architecture, Nanjing Tech University, Nanjing 211816, China)

Abstract

With the acceleration of global climate change and urbanization, many large and medium-sized cities in China have been frequently subjected to heavy rains and floods. Thus, the question of how to reduce the impact of floods and achieve rapid recovery has attracted much attention. We use the urban community as the basic unit to examine the living environment, internal facilities, and surrounding environment characteristics of six different types of communities in the Jianye District of Nanjing City. First, we use factor analysis and the binary logistic regression model to analyze pre-disaster preparation, disaster response, and post-disaster recovery. Second, we analyze the resilience of the community at different stages. Then, we explore the influencing factors of the built environment on the resilience of the community. Results show that the built-up environmental factors, such as topography, riverfront, building coverage ratio, green space rate, and land use diversity, have a significant impact on community resilience. Finally, we proposed several suggestions for improving the flood resilience of Nanjing City.

Suggested Citation

  • Yi Chen & Tao Liu & Ruishan Chen & Mengke Zhao, 2020. "Influence of the Built Environment on Community Flood Resilience: Evidence from Nanjing City, China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2401-:d:334327
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    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Shiqiang Du & Peijun Shi & Anton Rompaey & Jiahong Wen, 2015. "Quantifying the impact of impervious surface location on flood peak discharge in urban areas," 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. 76(3), pages 1457-1471, April.
    3. J. Birkmann & O. Cardona & M. Carreño & A. Barbat & M. Pelling & S. Schneiderbauer & S. Kienberger & M. Keiler & D. Alexander & P. Zeil & T. Welle, 2013. "Framing vulnerability, risk and societal responses: the MOVE framework," 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. 67(2), pages 193-211, June.
    4. Scott A. Kulp & Benjamin H. Strauss, 2019. "Author Correction: New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding," Nature Communications, Nature, vol. 10(1), pages 1-2, December.
    5. Haer, Toon & Botzen, W.J. Wouter & Aerts, Jeroen C.J.H., 2016. "The effectiveness of flood risk communication strategies and the influence of social networks—Insights from an agent-based model," Environmental Science & Policy, Elsevier, vol. 60(C), pages 44-52.
    6. Sebastian Scheuer & Dagmar Haase & Volker Meyer, 2011. "Exploring multicriteria flood vulnerability by integrating economic, social and ecological dimensions of flood risk and coping capacity: from a starting point view towards an end point view of vulnera," 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. 58(2), pages 731-751, August.
    7. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    8. J. C. J. H. Aerts & W. J. Botzen & K. C. Clarke & S. L. Cutter & J. W. Hall & B. Merz & E. Michel-Kerjan & J. Mysiak & S. Surminski & H. Kunreuther, 2018. "Integrating human behaviour dynamics into flood disaster risk assessment," Nature Climate Change, Nature, vol. 8(3), pages 193-199, March.
    9. Mick Lennon & Mark Scott & Eoin O'Neill, 2014. "Urban Design and Adapting to Flood Risk: The Role of Green Infrastructure," Journal of Urban Design, Taylor & Francis Journals, vol. 19(5), pages 745-758, December.
    10. Daniel Felsenstein & Michal Lichter, 2014. "Social and economic vulnerability of coastal communities to sea-level rise and extreme flooding," 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. 71(1), pages 463-491, March.
    11. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    12. Scott A. Kulp & Benjamin H. Strauss, 2019. "New elevation data triple estimates of global vulnerability to sea-level rise and coastal flooding," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
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    2. Licia Felicioni & Antonín Lupíšek & Petr Hájek, 2020. "Major European Stressors and Potential of Available Tools for Assessment of Urban and Buildings Resilience," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    3. Batara Surya & Seri Suriani & Firman Menne & Herminawaty Abubakar & Muhammad Idris & Emil Salim Rasyidi & Hasanuddin Remmang, 2021. "Community Empowerment and Utilization of Renewable Energy: Entrepreneurial Perspective for Community Resilience Based on Sustainable Management of Slum Settlements in Makassar City, Indonesia," Sustainability, MDPI, vol. 13(6), pages 1-36, March.

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