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The novel coronavirus (COVID-19) has become a pandemic and the risk perception plays an important role in self-protection and spread prevention. This study attempts to explore the intrinsic characteristic of risk perception and the spatial distribution of it, which have not been involved in previous studies. To attach this purpose, data from questionnaire conducted in China and Korea (samples of 897 respondents in China and 340 respondents in South Korea) are used to produce risk perception of COVID- 19. Results reveal four principal findings: (1) risk perception of COVID-19 can be categorized into perceived social risk and perceived risk of being infected; (2) the internal differences are most pronounced in perceived risk of being infected about oneself in China, and in perceived social risk disorder about local community in South Korea; (3) the spatial distribution of risk perception is not consistent with that of epidemic severity, for high-risk perception spread out beyond the epicenter with different performance in the two categories; and (4) among the influence factors, trust in information, familiarity with epidemic situation, and interpersonal distance from suffers in the epicenter are found to have a significant influence on different aspects of risk perception. The theoretical and practical implications of this study enrich the understanding of risk perception of epidemic, and provide specific suggestions for preventing this ongoing epidemic spread across the population.
Yangyang Chen; Jiahao Feng; An Chen; Jae Eun Lee; Longtian An. Risk perception of COVID-19: A comparative analysis of China and South Korea. International Journal of Disaster Risk Reduction 2021, 61, 102373 -102373.
AMA StyleYangyang Chen, Jiahao Feng, An Chen, Jae Eun Lee, Longtian An. Risk perception of COVID-19: A comparative analysis of China and South Korea. International Journal of Disaster Risk Reduction. 2021; 61 ():102373-102373.
Chicago/Turabian StyleYangyang Chen; Jiahao Feng; An Chen; Jae Eun Lee; Longtian An. 2021. "Risk perception of COVID-19: A comparative analysis of China and South Korea." International Journal of Disaster Risk Reduction 61, no. : 102373-102373.
Previous studies on risks of heritage sites have paid attention to natural disasters, pests and diseases. Few has focused on systemic risks caused by human factors, such as theft, illegal construction and vandalism. In addition, the prevailing method of risk assessment aim at grade determination but ignoring the assessment of management capability. As a result, this kind of assessment cannot serve as the guidance for risk management and prevention directly. In order to satisfy the demand of the historic development and protection, we apply entropy weight and TOPSIS methods to evaluate the risk management priorities of protected historical and cultural sites in 31 provinces of China (excluding Hong Kong, Macao and Taiwan). Based on the provincial cross-section data on safety risks of heritage sites, a multi-level indicator system including risk source, risk management and risk-bearing is proposed from the aspects of necessity and feasibility respectively. Results indicate that Henan, Hainan and Shanxi have the highest priority for risk management, while Jilin, Yunnan and Ningxia have the lowest priority. Priorities in 31 provinces are classified into five clusters according to the value of TOPSIS, and the sort of priority is not always in line with that of necessity or feasibility respectively. Finally, relevant recommendation is provided for decision-makers.
Jimei Li; Yangyang Chen; Xiaohui Yao; An Chen. Risk Management Priority Assessment of heritage sites in China Based on Entropy Weight and TOPSIS. Journal of Cultural Heritage 2021, 49, 10 -18.
AMA StyleJimei Li, Yangyang Chen, Xiaohui Yao, An Chen. Risk Management Priority Assessment of heritage sites in China Based on Entropy Weight and TOPSIS. Journal of Cultural Heritage. 2021; 49 ():10-18.
Chicago/Turabian StyleJimei Li; Yangyang Chen; Xiaohui Yao; An Chen. 2021. "Risk Management Priority Assessment of heritage sites in China Based on Entropy Weight and TOPSIS." Journal of Cultural Heritage 49, no. : 10-18.
Southern China has suffered from flood disasters for over sixty years, which results in tremendous socio-economic loss. With the development of economy and the improvement of disaster reduction, both the exposure and potential loss of flood disaster are increasing. However, previous studies only focus on risk assessment, few has examined the comparison of potential risk and the actual losses caused by it. To this end, a method combing entropy weight and TOPSIS based on flood data (2008 to 2018) in China's national and provincial disaster database is applied to analysis flood risk and resulting loss in southern China. By using disaster system dimensions of hazard, exposure and vulnerability, the effect of natural, economic and social factors on flood risk are also examined. Results indicate that: (1) flood risk in southern China is relatively low from 2008 to 2014 and becomes severe since 2016; (2) the resulting losses of flood disasters in southern China are optimistic during most of the selected years in the study period; (3) flood risk is not always in line with the resulting loss; and (4) flood disasters in southern China are categorized into high-risk and low-loss situation, low-risk and high-loss situation, and the situation with the same level of risk and loss. To the best of our knowledge, this is the first study to assess southern China on a regional scale from both temporal and spatial perspectives, and has compensated for the lack of comparative research on flood risk and the resulting loss. In practice, our findings can protrude the priorities of flood prevention both in flood-prone areas and specific measures, which is conducive to improve the efficiency of resource allocation.
Yangyang Chen; Jimei Li; An Chen. Does high risk mean high loss: Evidence from flood disaster in southern China. Science of The Total Environment 2021, 785, 147127 .
AMA StyleYangyang Chen, Jimei Li, An Chen. Does high risk mean high loss: Evidence from flood disaster in southern China. Science of The Total Environment. 2021; 785 ():147127.
Chicago/Turabian StyleYangyang Chen; Jimei Li; An Chen. 2021. "Does high risk mean high loss: Evidence from flood disaster in southern China." Science of The Total Environment 785, no. : 147127.
Based on the analysis method of emergency mechanism, this paper sorts out the key information of the evolution mechanism of the 102 unconventional emergencies occurred in 38 megacities in the world. By using DEMATEL model to search the main factors driving the evolution of the original events to sub-events and the mutual influence among them, the following conclusions are drawn: (1) During the development of unconventional emergencies in megacities, the evolutional phenomenon of events exists generally and the evolution paths are different obviously. (2) It can be seen that there is an obvious interactive feedback relationship between the emergency handling measures and event evolution in megalopolis. (3) The main department of disposal, the level of early warning and the pre-arranged planning are the most powerful factors determining the evolution of events. The research results have obvious warning significance to improving the ability of emergency management. As such, the paper is not a study of a failure in emergency cases, but rather the theoretical framework of unconventional emergencies evolution that make actions and decisions stand out as meaningful for the actors involved in dealing with situations of high complexity and uncertainty. In the future, it is necessary to study the driving results caused by various factors and explore the internal driving mechanism between the driving factors and the type of sub-events.
Dan Zhou; Chao Fan; An Chen. Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world. Natural Hazards 2020, 103, 513 -530.
AMA StyleDan Zhou, Chao Fan, An Chen. Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world. Natural Hazards. 2020; 103 (1):513-530.
Chicago/Turabian StyleDan Zhou; Chao Fan; An Chen. 2020. "Evolution mechanism and driving factors of unconventional emergencies in megacities: an empirical study based on 102 cases in the world." Natural Hazards 103, no. 1: 513-530.
This study aimed to analyze how resource variables (health status, economic affordability, social network, social capital, and neighborhood environment) influence citizens’ intention to pay for and participate in disaster management and safety activities. We compared four psychometric paradigm variables with five resource variables and analyzed how the latter moderate the relationships of the perception variables with intention to pay and to participate. A regression analysis revealed that willingness to pay was mainly explained by trust, followed by social capital, economic affordability, perceived risk, and experience, respectively. Participation was explained by knowledge, social capital, age, trust, and social network, respectively. Gender, trust, and social capital had an influence both on willingness to pay and to participate. Perceived risk, knowledge, and trust had a moderating effect on willingness to pay, but this effect depended on the quality of the neighborhood environment. Trust, knowledge, and stigma had a moderating effect on participation intention, but this effect depended on social capital and the neighborhood environment.
Seoyong Kim; Seol A. Kwon; Jae Eun Lee; Byeong-Cheol Ahn; Ju Ho Lee; Chen An; Keiko Kitagawa; Dohyeong Kim; Jaesun Wang. Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management. Sustainability 2020, 12, 3377 .
AMA StyleSeoyong Kim, Seol A. Kwon, Jae Eun Lee, Byeong-Cheol Ahn, Ju Ho Lee, Chen An, Keiko Kitagawa, Dohyeong Kim, Jaesun Wang. Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management. Sustainability. 2020; 12 (8):3377.
Chicago/Turabian StyleSeoyong Kim; Seol A. Kwon; Jae Eun Lee; Byeong-Cheol Ahn; Ju Ho Lee; Chen An; Keiko Kitagawa; Dohyeong Kim; Jaesun Wang. 2020. "Analyzing the Role of Resource Factors in Citizens’ Intention to Pay for and Participate in Disaster Management." Sustainability 12, no. 8: 3377.
Regional disaster risk assessment is of practical value for disaster prevention and mitigation in emergency management. It remains an ongoing challenge due to the multiple criteria associated with the decision making problem. In this paper we propose a new multi-criteria decision making method to evaluate the natural disaster risk of China at the region scale. The evaluation index system is composed of 28 indicators reflecting the danger of natural disasters and the vulnerability of the affected body. The method involves a combination of Analytic Hierarchy Process (AHP), Self-Organizing Map (SOM), Isometric Feature Mapping (Isomap), and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to achieve the clustering, visualization, and ranking of Chinese regions. Compared with the traditional ranking methods in regional disaster risk assessment, the proposed method is able to recognize the similarity of regions, exploit the embedded clustering structures, visualize the high dimensional regional data, examine the influence of indicators, and rank the regions in terms of the disaster risk. It offers a comprehensive and visual way for policy makers or related organizations to understand the studied data from different perspectives and thus mitigate the disaster risk in the Chinese regions.
Ning Chen; Lu Chen; Yingchao Ma; An Chen. Regional disaster risk assessment of china based on self-organizing map: Clustering, visualization and ranking. International Journal of Disaster Risk Reduction 2018, 33, 196 -206.
AMA StyleNing Chen, Lu Chen, Yingchao Ma, An Chen. Regional disaster risk assessment of china based on self-organizing map: Clustering, visualization and ranking. International Journal of Disaster Risk Reduction. 2018; 33 ():196-206.
Chicago/Turabian StyleNing Chen; Lu Chen; Yingchao Ma; An Chen. 2018. "Regional disaster risk assessment of china based on self-organizing map: Clustering, visualization and ranking." International Journal of Disaster Risk Reduction 33, no. : 196-206.