IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2401-d334327.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2401/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/6/2401/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    4. 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.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiansheng Chen & Ruisong Quan, 2021. "A spatiotemporal analysis of urban resilience to the COVID-19 pandemic in the Yangtze River Delta," 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. 106(1), pages 829-854, March.
    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.

    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. Kerstin Krellenberg & Juliane Welz, 2017. "Assessing Urban Vulnerability in the Context of Flood and Heat Hazard: Pathways and Challenges for Indicator-Based Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 709-731, June.
    2. Mark Lubell & Mark Stacey & Michelle A. Hummel, 2021. "Collective action problems and governance barriers to sea-level rise adaptation in San Francisco Bay," Climatic Change, Springer, vol. 167(3), pages 1-25, August.
    3. Mathew E. Hauer & Dean Hardy & Scott A. Kulp & Valerie Mueller & David J. Wrathall & Peter U. Clark, 2021. "Assessing population exposure to coastal flooding due to sea level rise," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    4. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    5. Van Acker, Veronique & Ho, Loan & Stevens, Larissa & Mulley, Corinne, 2020. "Quantifying the effects of childhood and previous residential experiences on the use of public transport," Journal of Transport Geography, Elsevier, vol. 86(C).
    6. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    7. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    8. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    9. Miotti, Marco & Needell, Zachary A. & Jain, Rishee K., 2023. "The impact of urban form on daily mobility demand and energy use: Evidence from the United States," Applied Energy, Elsevier, vol. 339(C).
    10. Jie Liu & Zhenwu Shi & Dan Wang, 2016. "Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China," 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. 83(3), pages 1545-1565, September.
    11. Nicolas, Jean-Pierre & Pelé, Nicolas, 2018. "Reprint of Measuring trends in household expenditures for daily mobility. The case in Lyon, France, between 1995 and 2015," Transport Policy, Elsevier, vol. 65(C), pages 19-29.
    12. Lucas, Karen & Philips, Ian & Mulley, Corinne & Ma, Liang, 2018. "Is transport poverty socially or environmentally driven? Comparing the travel behaviours of two low-income populations living in central and peripheral locations in the same city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 622-634.
    13. Keskisaari, Ville & Ottelin, Juudit & Heinonen, Jukka, 2017. "Greenhouse gas impacts of different modality style classes using latent class travel behavior model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 155-164.
    14. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    15. Hamid Mostofi & Houshmand Masoumi & Hans-Liudger Dienel, 2020. "The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo," IJERPH, MDPI, vol. 17(23), pages 1-19, November.
    16. Luke J. Jenkins & Ivan D. Haigh & Paula Camus & Douglas Pender & Jenny Sansom & Rob Lamb & Hachem Kassem, 2023. "The temporal clustering of storm surge, wave height, and high sea level exceedances around the UK coastline," 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. 115(2), pages 1761-1797, January.
    17. Alberto Alesina & Marco Tabellini, 2024. "The Political Effects of Immigration: Culture or Economics?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 5-46, March.
    18. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    19. Lori Zeller, 2015. "Potential changes in transportation patterns of New York Islanders fans due to stadium relocation," Transportation, Springer, vol. 42(6), pages 951-966, November.
    20. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.

    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:jsusta:v:12:y:2020:i:6:p:2401-:d:334327. 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.