Homeowner mitigation decision-making: Exploring the theory of planned behaviour approach

被引:9
作者
Slotter, Rachel [1 ]
Trainor, Joseph [1 ]
Davidson, Rachel [2 ]
Kruse, Jamie [3 ]
Nozick, Linda [4 ]
机构
[1] Univ Delaware, Sch Publ Policy & Adm, Newark, DE 19716 USA
[2] Univ Delaware, Dept Civil & Environm Engn, Newark, DE USA
[3] East Carolina Univ, Dept Econ, Greenville, NC 27858 USA
[4] Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
household decision-making; hurricane; mitigation; theory of planned behaviour; HOUSEHOLDS EXPECTED RESPONSES; RISK PERCEPTIONS; EARTHQUAKE RISK; HAZARD; ADJUSTMENT; INSURANCE; PEOPLE; PREPAREDNESS; PROBABILITY; RESIDENTS;
D O I
10.1111/jfr3.12667
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
During hurricanes, flooding and wind cause property damage and loss of life. Increased coastal development and recent economic impacts of hurricanes has increased stakeholders' interest in coastal mitigation. Through the use of the Theory of Planned Behaviour, this study focuses on factors that impact the intention of homeowners to mitigate. Methodologically, surveys were sent to a random sample of 2,500 coastal North Carolina homeowners who provided insights about their hurricane and mitigation experiences. The sample was purchased from Genesys, which utilises the postal service's database to randomly select addresses. Binary logistic regression was used to compute homeowners' intention to adopt eight separate mitigation actions for their homes. The findings show limited support on the influence of emotion and risk perception on intention to mitigate. However, the findings clearly support the relationships between intention to mitigate and the influence of others and perceptions of the characteristics of the mitigation actions. The significance of the findings indicates the importance of utilising these factors in future studies to better understand mitigation decision-making and to inform future mitigation policies and programs.
引用
收藏
页数:15
相关论文
共 50 条
[41]   Exercise habit strength, planning and the theory of planned behaviour: An action control approach [J].
de Bruijn, Gert-Jan .
PSYCHOLOGY OF SPORT AND EXERCISE, 2011, 12 (02) :106-114
[42]   Exploring entrepreneurial intentions: integrating Kolb's experiential learning theory with Ajzen's theory of planned behaviour [J].
Nayak, Pushparaj M. ;
Nayak, Madhukara ;
Joshi, Harisha G. .
COGENT SOCIAL SCIENCES, 2024, 10 (01)
[43]   Predicting nurses' safety compliance behaviour in a developing economy, using the theory of planned behaviour: A configurational approach [J].
Asante, Kwadwo ;
Novak, Petr .
JOURNAL OF ADVANCED NURSING, 2024, 80 (03) :1097-1110
[44]   Saturated fat consumption and the Theory of Planned Behaviour: Exploring additive and interactive effects of habit strength [J].
de Bruijn, Gert-Jan ;
Kroeze, Willemieke ;
Oenema, Anke ;
Brug, Johannes .
APPETITE, 2008, 51 (02) :318-323
[45]   Microplastics in personal care products: Exploring public intention of usage by extending the theory of planned behaviour [J].
Deng, Lingzhi ;
Li, Gen ;
Peng, Shengjing ;
Wu, Jian ;
Che, Yue .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 848
[46]   Extending the Theory of Planned Behaviour: Impact of Past Behavioural Biases on the Investment Decision of Indian Investors [J].
Raut, Rajdeep Kumar ;
Das, Niladri ;
Kumar, Rohit .
ASIAN JOURNAL OF BUSINESS AND ACCOUNTING, 2018, 11 (01) :265-291
[47]   FloodSafeHome: evaluating financial benefits and savings of freeboard for improved decision-making in flood risk mitigation [J].
Friedland, Carol J. ;
Lee, Yong-Cheol ;
Mostafiz, Rubayet Bin ;
Lee, Jiyoung ;
Mithila, Shifat P. ;
Rohli, Robert V. ;
Rahim, Md Adilur ;
Gnan, Ehab ;
Farris, Monica Teets .
FRONTIERS IN COMMUNICATION, 2023, 8
[48]   Uncovering unknown unknowns: Towards a Baconian approach to management decision-making [J].
Feduzi, Alberto ;
Runde, Jochen .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 2014, 124 (02) :268-283
[49]   Game-Theoretic Approach to a Decision-Making Problem for Blockchain Mining [J].
Toda, Kosuke ;
Kuze, Naomi ;
Ushio, Toshimitsu .
IEEE CONTROL SYSTEMS LETTERS, 2021, 5 (05) :1783-1788
[50]   Decision-making under uncertainty - the integrated approach of the AHP and Bayesian analysis [J].
Mimovic, Predrag ;
Stankovic, Jelena ;
Milic, Vesna Jankovic .
ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2015, 28 (01) :868-878