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Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China

Author

Listed:
  • Yajing Shen

    (Institute of Analytical Psychology, City University of Macao, Macao 999078, China)

  • Shiyan Lou

    (Faculty of Finance, City University of Macao, Macao 999078, China)

  • Xiujuan Zhao

    (Department of Engineering Physics, Tsinghua University, Beijing 100084, China
    Institute of Public Safety Research, Tsinghua University, Beijing 100084, China)

  • Kuai Peng Ip

    (Research Center for Macao Social and Economic Development, City University of Macao, Macao 999078, China)

  • Hui Xu

    (Institute of Analytical Psychology, City University of Macao, Macao 999078, China)

  • Jingwen Zhang

    (Institute of Analytical Psychology, City University of Macao, Macao 999078, China)

Abstract

Studying typhoon risk perception and its influencing factors help reveal potential risk factors from the perspective of the public and provide a basis for decision-making for reducing the risk of typhoon disasters. The purpose of this study is to assess the risk perception and related factors of Macao residents in China. Information was collected from 983 participants using a structured questionnaire with an effective utilization rate of 94.2%. Descriptive statistics, univariate analysis and correlation analysis were used to analyze the data. The results show that, on the one hand, there are significant differences in risk perception on the factors included: (1) age, education and other demographic characteristics; (2) health status, occupation, length of stay, residence area, residence floor, family organization structure and individuals monthly income and other personal or family conditions; (3) channels and quantity of typhoon information acquisition; (4) degree of mastery of relevant risk aversion knowledge. On the other hand, some factors still have a moderate or high level of correlation with risk perception: (1) The older the respondent, the lower the education level, the lower the income, the lower the risk perception of property damage, health impact and life threat. (2) The more children or elderly people in the family, the higher the risk perception of respondents. (3) The more risk knowledge, the lower the risk perception. (4) The more channels for obtaining information, the lower the fear level and the overall impact of risk perception. (5) The stronger the risk perception, the more positive disaster response behaviors would be taken by the public. In addition, the more information acquisition channels and the less risk knowledge respondents have, the greater the risk perception of the overall impact and the fear of the typhoon; the fewer information access channels and less risk knowledge respondents have, the greater the risk perceptions of property damage, health effects and life threats.

Suggested Citation

  • Yajing Shen & Shiyan Lou & Xiujuan Zhao & Kuai Peng Ip & Hui Xu & Jingwen Zhang, 2020. "Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China," IJERPH, MDPI, vol. 17(20), pages 1-24, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7357-:d:425334
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    References listed on IDEAS

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    1. Corene Matyas & Sivaramakrishnan Srinivasan & Ignatius Cahyanto & Brijesh Thapa & Lori Pennington-Gray & Jorge Villegas, 2011. "Risk perception and evacuation decisions of Florida tourists under hurricane threats: a stated preference analysis," 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. 59(2), pages 871-890, November.
    2. 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.
    3. Gisela Wachinger & Ortwin Renn & Chloe Begg & Christian Kuhlicke, 2013. "The Risk Perception Paradox—Implications for Governance and Communication of Natural Hazards," Risk Analysis, John Wiley & Sons, vol. 33(6), pages 1049-1065, June.
    4. Julian Chuk‐ling Lai & Julia Tao, 2003. "Perception of Environmental Hazards in Hong Kong Chinese," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 669-684, August.
    5. Wim Kellens & Teun Terpstra & Philippe De Maeyer, 2013. "Perception and Communication of Flood Risks: A Systematic Review of Empirical Research," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 24-49, January.
    6. Emily Ying Yang Chan & Asta Yi Tao Man & Holly Ching Yu Lam & Gloria Kwong Wai Chan & Brian J. Hall & Kevin Kei Ching Hung, 2019. "Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City?," IJERPH, MDPI, vol. 16(4), pages 1-16, February.
    7. George O. Rogers, 1997. "The Dynamics of Risk Perception: How Does Perceived Risk Respond to Risk Events?," Risk Analysis, John Wiley & Sons, vol. 17(6), pages 745-757, December.
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