Institute of Management Science, Business School, Hohai University, Nanjing 211100, China.
Teachers College, Columbia University, New York, NY 10012, USA.
Int J Environ Res Public Health. 2020 Aug 16;17(16):5945. doi: 10.3390/ijerph17165945.
As the risk of urban flooding increases worldwide, floods seriously endanger the safety of people's lives and property. Understanding the protective coping behaviors of the public in flood disasters is crucial to the implementation of effective flood mitigation measures and flood risk management. In this study, influential factors affecting protective coping behaviors in the face of flood disasters were identified, and the effects of these factors were discussed as well. Shenzhen City in China was selected as the study area, in which a questionnaire survey of 339 respondents was carried out in three flood-prone districts. Correlation analysis was conducted to preselect potential influential factors. Then, two linear regression models were established to identify main influential factors and to explore the interaction effects of these factors. The results indicated that age, monthly income, flood experience, trust in government and insurance willingness were main influential factors of protective coping behaviors. Trust in government had the highest positive correlation coefficient, while monthly income and age were negatively associated with protective coping behaviors. The interaction between insurance willingness and monthly income jointly affected protective coping behaviors of the public. The findings of this study could help authorities better understand the public's intention to cope with flood and design effective risk reduction measures, not only for Shenzhen, but also for many other similar cities that facing with the same situation.
随着全球城市内涝风险的增加,洪水严重威胁着人们的生命财产安全。了解公众在洪灾中的保护应对行为对于实施有效的洪灾缓解措施和洪灾风险管理至关重要。本研究旨在识别影响公众在洪灾中保护应对行为的因素,并探讨这些因素的影响。选择中国深圳市作为研究区域,在三个易受洪水影响的地区对 339 名受访者进行了问卷调查。通过相关分析对潜在的影响因素进行了预筛选。然后,建立了两个线性回归模型来识别主要影响因素,并探讨这些因素的交互作用。结果表明,年龄、月收入、洪水经历、对政府的信任和保险意愿是保护应对行为的主要影响因素。对政府的信任具有最高的正相关系数,而月收入和年龄与保护应对行为呈负相关。保险意愿和月收入之间的交互作用共同影响了公众的保护应对行为。本研究结果有助于当局更好地了解公众应对洪水的意愿,设计有效的减灾措施,不仅对深圳,对许多面临类似情况的其他类似城市也具有借鉴意义。