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An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China

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  • Landong Sun

    (Shanghai Climate Center, Shanghai Meteorological Bureau, Shanghai 200030, China
    Landong Sun and Zhan Tian contribute equally to this article.)

  • Zhan Tian

    (School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
    Landong Sun and Zhan Tian contribute equally to this article.)

  • Huan Zou

    (School of Finance and Management, SOAS University of London, London WC1H 0XG, UK)

  • Lanzhu Shao

    (Arup 13 Fitzroy Street, London W1T 4BQ, UK)

  • Laixiang Sun

    (School of Finance and Management, SOAS University of London, London WC1H 0XG, UK
    Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
    International Institute for Applied Systems Analysis (IIASA), A-2361 Laxenburg, Austria)

  • Guangtao Dong

    (Shanghai Climate Center, Shanghai Meteorological Bureau, Shanghai 200030, China)

  • Dongli Fan

    (Shanghai Institute of Technology, Shanghai 200235, China)

  • Xinxing Huang

    (Shanghai Institute of Technology, Shanghai 200235, China)

  • Laura Frost

    (Arup 13 Fitzroy Street, London W1T 4BQ, UK)

  • Lewis-Fox James

    (Arup 13 Fitzroy Street, London W1T 4BQ, UK)

Abstract

This paper proposes an index-based assessment tool to consolidate diverse opinions of various stakeholders on their assessments of sector-specific risks posed by climate change, and to aggregate these opinions into intuitive and comparable graphs. This tool enables cities to measure and monitor the multiple factors that contribute to their resilience towards climate risk and hazard in the long term. We applied this tool to five key infrastructure sectors in six representative cities in the Yangtze River Delta region. The graphs generated provide for the first time first-hand insights into the aggregative understanding of various stakeholders with regard to the current and future climate risk in their concerned sectors and cities. Our results indicate that a high level of exposure is not automatically associated with a high level of vulnerability across our selected cities. While all cities need to make efforts to reduce their vulnerability towards climate hazards, those characterized by “lower level of exposure but higher level of vulnerability” need to make more urgent and much greater efforts.

Suggested Citation

  • Landong Sun & Zhan Tian & Huan Zou & Lanzhu Shao & Laixiang Sun & Guangtao Dong & Dongli Fan & Xinxing Huang & Laura Frost & Lewis-Fox James, 2019. "An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2099-:d:221025
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    References listed on IDEAS

    as
    1. S. Eriksen & P. Kelly, 2007. "Developing Credible Vulnerability Indicators for Climate Adaptation Policy Assessment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(4), pages 495-524, May.
    2. Xinlu XIE & Yan ZHENG & Jiahua PAN & Hongjian ZHOU, 2018. "Urban Vulnerability and Adaptability to Climate Change: A Case Study of Cities in the Yangtze River Delta," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-19, March.
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    Cited by:

    1. Carlota García Díaz & David Zambrana-Vasquez & Carmen Bartolomé, 2024. "Building Resilient Cities: A Comprehensive Review of Climate Change Adaptation Indicators for Urban Design," Energies, MDPI, vol. 17(8), pages 1-19, April.
    2. Dai, Meng & Huang, Shengzhi & Huang, Qiang & Leng, Guoyong & Guo, Yi & Wang, Lu & Fang, Wei & Li, Pei & Zheng, Xudong, 2020. "Assessing agricultural drought risk and its dynamic evolution characteristics," Agricultural Water Management, Elsevier, vol. 231(C).
    3. Insang Yu & Kiyong Park & Eui Hoon Lee, 2021. "Flood Risk Analysis by Building Use in Urban Planning for Disaster Risk Reduction and Climate Change Adaptation," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    4. Insang Yu & Huicheul Jung, 2022. "Flood Risk Assessment to Enable Improved Decision-Making for Climate Change Adaptation Strategies by Central and Local Governments," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    5. Dechao Chen & Xinliang Xu & Zongyao Sun & Luo Liu & Zhi Qiao & Tai Huang, 2019. "Assessment of Urban Heat Risk in Mountain Environments: A Case Study of Chongqing Metropolitan Area, China," Sustainability, MDPI, vol. 12(1), pages 1-15, December.

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