Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior

Liu, Tianzhuo; Jiao, Huifang

doi:10.1007/s10614-017-9727-z

Cited by 7 publications

(6 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…response efficacy and self-efficacy improves fire risk reduction. Furthermore, it has been shown that, information increases perceived RE of preparedness measures [38]. However, Dupuis [39] found that RE is not statistically significant to prevention measures.…”

Section: Perceived Response Efficacy and Prevention Intention Of Firementioning

confidence: 99%

“…RE improves the likelihood for individuals to adopt the recommended behavior such as prevention measures against fire disasters Beatson & McLennan, [33] Concu et al, [34] Concu et al, [35]. It is evidenced that, in different risk areas RE have shown positive effects on preventive measures behavior [36,37,38] found that coping appraisal i.e. response efficacy and self-efficacy improves fire risk reduction.…”

Section: Perceived Response Efficacy and Prevention Intention Of Firementioning

confidence: 99%

“…However, Dupuis [39] found that RE is not statistically significant to prevention measures. Liu and Jiao [38] employed path analysis using partial least square (PLS) for analysis. Apart from that this study was done in China.…”

Section: Perceived Response Efficacy and Prevention Intention Of Firementioning

confidence: 99%

See 2 more Smart Citations

Examining the Role of Attitudinal Factors in Shaping Fire Prevention Intentions: A Study of Response Efficacy in Public Markets of Tanzania

Mwakatage,

Golyama

2024

SAJSSE

View full text Add to dashboard Cite

The need of this study was to examine the moderating effects of attitude on the relationship between response efficacy and prevention intention of fire outbreaks in public markets. This research utilized quantitative research methods, surveying 384 participants consisting of traders and market management in the Dar es Salaam Region. A simple random sampling technique was employed to select respondents from 10 markets, and data analysis was conducted using a structural equation model. Findings show that attitudes moderate the relationship between perceived response efficacies towards prevention intention of fire outbreaks in public markets. The result shows that the effects of perceived response efficacy to attitudes (CR = 0.114, P = 0.035 and SRW = 0.480) and path leading from attitudes to prevention intention on outbreaks of fire in public markets was (CR = 0.2.653, P = 0.008 and SRW = 0.931). The study recommends that building attitudes on fire prevention should be a continuous process in public market in Tanzania.

show abstract

Section: Perceived Response Efficacy and Prevention Intention Of Firementioning

confidence: 99%

Section: Perceived Response Efficacy and Prevention Intention Of Firementioning

confidence: 99%

See 1 more Smart Citation

Examining the Role of Attitudinal Factors in Shaping Fire Prevention Intentions: A Study of Response Efficacy in Public Markets of Tanzania

Mwakatage,

Golyama

2024

SAJSSE

View full text Add to dashboard Cite

show abstract

“…Focused on building fires, Liu and Jiao (2018) also employed PMT and found that response efficacy was significant in influencing structural measures (e.g., using fire-resistant roofing) and fire insurance purchase, and response cost was significant for maintenance and caution activities (e.g., removing vegetation near house).…”

Section: Empirical Evidencementioning

confidence: 99%

Perceived attributes of hurricane-related retrofits and their effect on household adoption

et al. 2020

View full text Add to dashboard Cite

Understanding how homeowners make protective action decisions is important for designing policies and programs to encourage those actions and community resilience as a whole. This thesis focuses on the role of homeowner perceptions of attributes of the protective actions themselves in influencing household protective action decisions. Specifically, using a combination of revealed and stated preference data from a mailed survey of homeowners in North Carolina, we fitted mixed logit models to predict the probability a homeowner has or intends to structurally retrofit (strengthen) her home to mitigate hurricane wind and flood damage. We found evidence supporting the hypotheses that a higher probability of undertaking a retrofit is associated with homeowner beliefs that: (1) the retrofit cost is not too high, (2) the installation does not require too much effort, (3) they understand how it works, (4) it would add to home value, (5) it would protect lives, (6) it would protect property, and (7) it would not make the home less attractive. This work shows that homeowners make retrofit decisions based on a portfolio of perceived attributes that depend on the type of retrofit under consideration. Although cost is important, other factors carry considerable weight in the decision as well. Further, findings suggest that study of one type of protective action (e.g., having an emergency kit) may not be generalizable to other actions (adding hurricane shutters) without considering these attributes.

show abstract

“…In addition, the authors design schemes of increasing block tariffs for residential natural gas and find that more blocks and larger gaps in gas prices between blocks can optimize subsidy redistribution and improve fairness and efficiency. Liu and Jiao (2017) focus on the effects of cognitive factors and risk attitudes on fire mitigation behavior. The authors consider two cognitive factors, threat appraisal and coping appraisal, within the protection motivation theory (PMT) framework.…”

Section: Empirical Researchmentioning

confidence: 99%

How to Apply Advanced Statistical Analysis to Computational Economics: Methods and Insights

Song

Fisher

2018

Comput Econ

View full text Add to dashboard Cite

The theme of this special volume concerns advanced statistical analysis. By mining meaningful and important information, advanced statistical analysis can bring new insights to many areas, such as the development of hospitals, the environment, biology, markets, industries, and general economic systems. The contribution of this special volume is to adopt an advanced parametric and nonparametric statistical approach for the exploration of environmental and health care issues in the context of computational economics. The authors have proposed varied methods of advanced statistical analysis combined with practical applications. In terms of theory, the authors suggest designs for advanced theoretical methods. With regard to the application of professional calculation methods to everyday life, the authors have offered useful guidance for future research. The authors have also conducted empirical research by using data from Chinese regions and analyzing specific conditions. In addition, they have conducted empirical analyses of particular issues such as those related to the environment. Although this special volume has provided some methods of advanced scientific analysis for existing problems, other techniques must be applied to everyday life in order to solve the severe difficulties that human beings face.

show abstract

Insights into the Effects of Cognitive Factors and Risk Attitudes on Fire Risk Mitigation Behavior

Cited by 7 publications

References 42 publications

Examining the Role of Attitudinal Factors in Shaping Fire Prevention Intentions: A Study of Response Efficacy in Public Markets of Tanzania

Examining the Role of Attitudinal Factors in Shaping Fire Prevention Intentions: A Study of Response Efficacy in Public Markets of Tanzania

Perceived attributes of hurricane-related retrofits and their effect on household adoption

How to Apply Advanced Statistical Analysis to Computational Economics: Methods and Insights

Contact Info

Product

Resources

About