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An Interdisciplinary Approach to Quantify the Human Disaster Risk Perception and Its Influence on the Population at Risk: A Case Study of Longchi Town, China

Author

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  • Shengnan Wu

    (Chongqing Economic and Social Development Research Institute, Chongqing 400041, China)

  • Yu Lei

    (Key Laboratory of Mountain Hazards and Earth Surface Processes, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
    China-Pakistan Joint Research Center on Earth Sciences, Chinese Academy of Sciences-Higher Education Commission (CAS-HEC), Islamabad 45320, Pakistan
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Wen Jin

    (National Disaster Reduction Center of China, Ministry of Emergency Management, Beijing 100084, China)

Abstract

Understanding disaster risk perception is vital for community-based disaster risk reduction (DRR). This study was set to investigate the correlations between disaster risk perception and the population at risk. To address this research question, the current study conducted an interdisciplinary approach: a household survey for measuring variables and constructed an Agent-based model for simulating the population at risk. Therefore, two correlations were defined, (1) between risk perception and willingness to evacuate, and (2) between willingness to evacuate and the population at risk. The willingness to evacuate was adopted as a mediator to determine the relationship between risk perception and the population at risk. The results show that the residents generally have a higher risk perception and willingness to evacuate because the study area frequently suffered from debris flow and flash floods. A positive correlation was found between risk perception and willingness to evacuate, and a negative correlation to the population at risk. However, a marginal effect was observed when raising public risk perception to reduce the number of the population at risk. This study provides an interdisciplinary approach to measuring disaster risk perception at the community level and helps policymakers select the most effective ways to reduce the population at risk.

Suggested Citation

  • Shengnan Wu & Yu Lei & Wen Jin, 2022. "An Interdisciplinary Approach to Quantify the Human Disaster Risk Perception and Its Influence on the Population at Risk: A Case Study of Longchi Town, China," IJERPH, MDPI, vol. 19(24), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16393-:d:996013
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    References listed on IDEAS

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    1. Ming‐Chou Ho & Daigee Shaw & Shuyeu Lin & Yao‐Chu Chiu, 2008. "How Do Disaster Characteristics Influence Risk Perception?," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 635-643, June.
    2. Jeffrey K. Lazo & Ann Bostrom & Rebecca E. Morss & Julie L. Demuth & Heather Lazrus, 2015. "Factors Affecting Hurricane Evacuation Intentions," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1837-1857, October.
    3. 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.
    4. Weiping Wang & Saini Yang & H. Eugene Stanley & Jianxi Gao, 2019. "Local floods induce large-scale abrupt failures of road networks," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    5. Michael Siegrist & Heinz Gutscher, 2006. "Flooding Risks: A Comparison of Lay People's Perceptions and Expert's Assessments in Switzerland," Risk Analysis, John Wiley & Sons, vol. 26(4), pages 971-979, August.
    6. John C. Whitehead & Bob Edwards & Marieke Van Willigen & John R. Maiolo & Kenneth Wilson & Kevin T. Smith, 2000. "“Heading for Higher Ground: Factors Affecting Real and Hypothetical Hurricane Evacuation Behavior,”," Working Papers 0006, East Carolina University, Department of Economics.
    7. Per E. Gustafsod, 1998. "Gender Differences in Risk Perception: Theoretical and Methodological erspectives," Risk Analysis, John Wiley & Sons, vol. 18(6), pages 805-811, December.
    8. Kevin Fox Gotham & Richard Campanella & Katie Lauve‐Moon & Bradford Powers, 2018. "Hazard Experience, Geophysical Vulnerability, and Flood Risk Perceptions in a Postdisaster City, the Case of New Orleans," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 345-356, February.
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    Cited by:

    1. Mikio Ishiwatari & Daisuke Sasaki, 2023. "Special Issue “Disaster Risk Reduction and Climate Change Adaptation: An Interdisciplinary Approach”," IJERPH, MDPI, vol. 20(3), pages 1-4, February.
    2. Mariusz Starzec & Sabina Kordana-Obuch & Daniel Słyś, 2023. "Assessment of the Feasibility of Implementing a Flash Flood Early Warning System in a Small Catchment Area," Sustainability, MDPI, vol. 15(10), pages 1-43, May.

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