Understanding risk perception from floods: a case study from China

Yi, Ge; Gao, Yang; Wang, Xiaotao; Dou, Wenbin; Lu, Xueer; Mao, Jiandong

doi:10.1007/s11069-020-04458-y

Cited by 25 publications

(10 citation statements)

References 74 publications

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“…Recognizing risk is crucial for taking action. As research shows, individuals with accurate information are more likely to prepare for emergencies (21,22). This recognition acts as a catalyst for other emergency response measures (23) and influences decision-making, especially in uncertain situations (24).…”

Section: Discussionmentioning

confidence: 99%

Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk

Rahimizadeh,

Fallah-Aliabadi,

Vaezi

et al. 2024

Health Scope

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Background: Public perception of risks associated with natural disasters like flash floods significantly influences disaster management effectiveness. Flash floods pose a major threat to life and property, and a lack of tools to evaluate societal risk perception creates a critical gap. Objectives: This study aimed to design and evaluate the psychometric properties of a questionnaire specifically assessing society's perception of flash flood risk. Methods: A two-stage approach was employed. The first stage involved collecting questionnaire items through a systematic literature review and a qualitative study. In the second stage, a comprehensive psychometric evaluation was conducted, including assessments of face validity, content validity, and construct validity. Reliability was established using Cronbach's alpha. Confirmatory factor analysis was further conducted with data collected from 136 community members who had experienced flash floods. Data analysis was performed using SPSS version 20 and AMOS software. Results: A combination of qualitative data and systematic review findings facilitated the development of 36 initial questionnaire items. Applying quantitative and qualitative construct validity measures led to the refinement of the instrument, resulting in 29 final items categorized into three domains: Risk perception (12 items), awareness (10 items), and preparedness (7 items). The internal consistency of the instrument was confirmed by a Cronbach's alpha coefficient of 0.88. Factor analysis further supported the good fit of the hypothesized model to the data. Conclusions: This study successfully developed and rigorously evaluated a questionnaire to assess society's perception of flash flood risk. This instrument offers valuable insights for informed decision-making and identification of factors influencing risk perception, ultimately contributing to improved disaster preparedness and management.

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Section: Discussionmentioning

confidence: 99%

Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk

Rahimizadeh,

Fallah-Aliabadi,

Vaezi

et al. 2024

Health Scope

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“…It is generally considered that an R 2 of 0.67 for constructs has high explanatory power, reaching 0.33 indicates moderate explanatory power and reaching 0.19 indicates weak explanatory power. The predictive relevance of the model was assessed using the Stone-Geisser cross-validation method (Geisser, 1974) and was tested by calculating the Q 2 value through the blindfolding procedure. Q 2 higher than 0 indicates that the variables in the model have predictive relevance for the constructs, while Q 2 lower than 0 indicates a lack of predictive relevance (Hair et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…Understanding the key factors influencing the residents' motivation for flood protection in China is essential given the increasing risks associated with flooding and the changing policy environment that is devolving more responsibility to communities and the public. Besides, unlike the bottom-up model of risk governance in west Asian and other Asian countries (Shi et al, 2013), China currently adopts a top-down model of national disaster response (Ge et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The determinants affecting the intention of urban residents to prepare for flood risk in China

Wang

Liu

et al. 2022

Nat. Hazards Earth Syst. Sci.

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Abstract. In the context of global warming and China's disaster response patterns, it is critical to understand how to promote the effectiveness of household flood protection measures among the public. In this study, we developed a comprehensive theoretical framework based on protection motivation theory (PMT) to identify the main determinants that influence urban residents' intention to prepare for flood risk. In addition to the fundamental factors in PMT, this framework also considered the influence of individual coping attitudes and social context. We selected urban residents in flood-prone areas of Henan Province as the study population as well as collected 857 valid questionnaires through an online survey. Firstly, the results showed that both threat perception and coping appraisal of flood risk are effective in increasing residents' intention to prepare. Secondly, negative risk-coping attitudes reduced people's intention to prepare. If people do not perceive preparedness actions as absolutely necessary, they will postpone them or shift their focus to public flood protection measures. In addition, analysis of affective pathways revealed that negative emotion (worry) was primarily influenced by perceptions of flood consequences and was not significantly related to perceptions of likelihood. The analysis of trust mechanisms showed that higher levels of trust in public flood protection reduced people's perceptions of flood risk, thereby hindering their intention to prepare for flood risk. Finally, we found that the positive influence of social norms on preparedness intentions makes it appropriate to focus on the power of social mobilization. The findings will provide theoretical references for government departments to design further policy measures to improve integrated flood risk management in China.

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“…One of the reasons stems from the interdisciplinary nature of the field, shaped by different sets of assumptions, theories, methodologies, the lack of consideration for the spatial dimension, leading in turn often to diverging results (Rufat et al, 2015). A final challenge is the fact that risk perception, motivations, capacity and behavior are rarely linked; the number of studies that address them in a spatially explicit manner is limited (Ge et al, 2021;O'Neill et al, 2015;Ruin et al, 2007), and studies often overlook scale-dependency issues. This situation is hindering the production of spatially explicit risk perception and evacuation baseline data that would be essential to emergency management.…”

Section: Risk Perception and Census Datamentioning

confidence: 99%

Small-Area Estimations from Survey Data for High-Resolution Maps of Urban Flood Risk Perception and Evacuation Behavior

Rufat

Howe

2022

Annals of the American Association of Geographers

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Understanding risk perception from floods: a case study from China

Cited by 25 publications

References 74 publications

Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk

Designing and Psychometric Evaluation of a Questionnaire for Assessing Society's Perception of Flash Flood Risk

The determinants affecting the intention of urban residents to prepare for flood risk in China

Small-Area Estimations from Survey Data for High-Resolution Maps of Urban Flood Risk Perception and Evacuation Behavior

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