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Application of Risk Perception Theory to Develop a Measurement Framework for City Resilience: Case Study of Suita, Japan

Author

Listed:
  • Maiko Ebisudani
  • Akihiro Tokai

Abstract

Risk management has developed as an important aspect of sustainability. In order to manage risk more effectively, an overall evaluation of regional resilience needs to be performed. Therefore, this paper develops a framework to measure overall resilience in a community, focusing on risk perceptions of citizens of Suita City, Japan. The framework includes three main phases- (1) identifying multiple risks in the city through discussions with local experts and city workers; (2) prioritizing those risks by applying principal component analysis (PCA); and (3) understanding the relationships among them using decision-making trial and evaluation laboratory (DEMATEL) analysis. As a result, 21 risks were identified, and subsequently, four risks were prioritized- climate change, lack of self-sufficient energy, damage to the ecosystem, and natural disasters. Lastly, the application of DEMATEL analysis revealed that climate change and natural disasters have the greatest cause-effect relationships among the risks. The framework proves that multiple risks can be prioritized and gives overall suggestions on what kinds of risk a community is facing; where to start considering how to manage resilience; and which functions/services a community should improve to boost resilience. The identification, prioritization, and visualization of significant risk relationships completed in this study can support decision-making processes in strengthening community resilience.

Suggested Citation

  • Maiko Ebisudani & Akihiro Tokai, 2016. "Application of Risk Perception Theory to Develop a Measurement Framework for City Resilience: Case Study of Suita, Japan," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 9(5), pages 1-33, September.
    • Handle: RePEc:ibn:jsd123:v:9:y:2016:i:5:p:33
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    References listed on IDEAS

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    1. Bilal M. Ayyub, 2014. "Systems Resilience for Multihazard Environments: Definition, Metrics, and Valuation for Decision Making," Risk Analysis, John Wiley & Sons, vol. 34(2), pages 340-355, February.
    2. Sunil Prashar & Rajib Shaw & Yukiko Takeuchi, 2012. "Assessing the resilience of Delhi to climate-related disasters: a comprehensive approach," 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. 64(2), pages 1609-1624, November.
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    Cited by:

    1. Fengge Yao & Lin Li & Jiayuan Liang, 2024. "Spatial and temporal evolution of urban resilience in China and analysis of barriers: Based on a sustainable development perspective," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-28, February.

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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