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Kuai Peng Ip
Research Center for Macao Social and Economic Development, City University of Macao, Macao 999078, China

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Journal article
Published: 09 October 2020 in International Journal of Environmental Research and Public Health
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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.

ACS Style

Yajing Shen; Shiyan Lou; Xiujuan Zhao; Kuai Peng Ip; Hui Xu; Jingwen Zhang. Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China. International Journal of Environmental Research and Public Health 2020, 17, 7357 .

AMA Style

Yajing Shen, Shiyan Lou, Xiujuan Zhao, Kuai Peng Ip, Hui Xu, Jingwen Zhang. Factors Impacting Risk Perception under Typhoon Disaster in Macao SAR, China. International Journal of Environmental Research and Public Health. 2020; 17 (20):7357.

Chicago/Turabian Style

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." International Journal of Environmental Research and Public Health 17, no. 20: 7357.

Journal article
Published: 18 April 2020 in Sustainability
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Typhoon disaster represent one of the most prominent threats to public safety in the Macao Special Administrative Region (SAR) of China and can cause severe economic losses and casualties. Prior to the landing of typhoons, affected people should be evacuated to shelters as soon as possible; this is crucial to prevent injuries and deaths. Various models aim to solve this problem, but the characteristics of disasters and evacuees are often overlooked. This study proposes a model based on the influence of a typhoon and its impact on evacuees. The model’s objective is to minimize the total evacuation distance, taking into account the distance constraint. The model is solved using the spatial analysis tools of Geographic Information Systems (GIS). It is then applied in Macao to solve the evacuation process for Typhoon Mangkhut 2018. The result is an evacuee allocation plan that can help the government organize evacuation efficiently. Furthermore, the number of evacuees allocated to shelters is compared with shelter capacities, which can inform government shelter construction in the future.

ACS Style

Xiujuan Zhao; Peng Du; Jianguo Chen; Dapeng Yu; Wei Xu; Shiyan Lou; Hongyong Yuan; Kuai Peng Ip. A Typhoon Shelter Selection and Evacuee Allocation Model: A Case Study of Macao (SAR), China. Sustainability 2020, 12, 3308 .

AMA Style

Xiujuan Zhao, Peng Du, Jianguo Chen, Dapeng Yu, Wei Xu, Shiyan Lou, Hongyong Yuan, Kuai Peng Ip. A Typhoon Shelter Selection and Evacuee Allocation Model: A Case Study of Macao (SAR), China. Sustainability. 2020; 12 (8):3308.

Chicago/Turabian Style

Xiujuan Zhao; Peng Du; Jianguo Chen; Dapeng Yu; Wei Xu; Shiyan Lou; Hongyong Yuan; Kuai Peng Ip. 2020. "A Typhoon Shelter Selection and Evacuee Allocation Model: A Case Study of Macao (SAR), China." Sustainability 12, no. 8: 3308.