Influential Factors Affecting Protective Coping Behaviors of Flood Disaster: A Case Study in Shenzhen, China

Abstract

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.

Analysis of factors in community willingness to manage floods in East Java during the pandemic

“…A comparable circumstance was noted in Bangkok, where losses were almost equal to half of the annual household budget (Nabangchang et al 2015 ). According to Cao et al ( 2020 ), the majority of households suffered overall economic losses that were not significantly mitigated by government compensation payments. In the meanwhile, there is little government support due to flooding, and many households lack the insurance and money necessary to reconstruct (Netusil et al 2021 ).…”

“…A similar situation was observed in Bangkok, where losses amounted to approximately half of the annual household expenditure (Nabangchang et al 2015 ). Government compensation payments did little to alleviate the overall economic losses experienced by most households (Cao et al 2020 ). Meanwhile, because of flooding, many families are not insured and do not have sufficient savings to rebuild, and government assistance is limited (Netusil et al 2021 ).…”

Flood Risk and Preventive Choices: A Framework for Studying Human Behaviors

“…Usually, the authors start by proposing a psychological model, and then they lean on surveys to identify the correlations among their variables and a regression analysis to try to explain people's behavior. Among these, Cao and colleagues [37] investigate the factors having a significant impact on protective coping behaviors. Among the main factors, trust in the government was found to be positively related to protective coping behaviors.…”

A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems

“…In this study, Shenzhen City is used as the study area for the experiment, as shown in Figure 4. Shenzhen is located in the southern region of Guangdong Province, China, on the east coast of the Pearl River Delta [76]. Flooding and storm surges are frequent because of its coastal mountainous terrain and frequent typhoons at low latitudes [77][78][79].…”