{"title":"Factors associated with household flood preparedness in Songkhla old town Thailand","authors":"Srijya Thapa , Yusuke Toyoda , Orapin Laosee , Piyapong Janmaimool , Tarinee Buadit , Nattaneeporn Noisangiam , Cheerawit Rattanapan","doi":"10.1016/j.pdisas.2025.100441","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates household disaster preparedness in Songkhla Old Town, Thailand, a culturally significant area vulnerable to floods. Using the Protection Motivation Theory framework, we conducted a cross-sectional survey of 450 households to assess preparedness levels and identify associated factors. Our findings revealed that disaster preparedness knowledge emerged as the strongest predictor of household preparedness (β = 0.539, <em>p</em> < 0.001), followed by perceived disaster risk (β = 0.202, <em>p</em> < 0.001) and perceived disaster consequences (β = 0.193, p < 0.001). Community preparedness and support (β = 0.134, p < 0.001) and governmental preparedness (β = 0.126, <em>p</em> = 0.003) also positively influenced preparedness behaviors, while anxiety showed a negative relationship (β = −0.124, <em>p</em> = 0.010). Notably, socio-demographic characteristics did not significantly predict preparedness, suggesting the importance of local cultural and institutional context. These findings underscore the need for multi-faceted interventions integrating individual-level factors like knowledge with community-level factors like social cohesion and governmental support.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100441"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061725000389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates household disaster preparedness in Songkhla Old Town, Thailand, a culturally significant area vulnerable to floods. Using the Protection Motivation Theory framework, we conducted a cross-sectional survey of 450 households to assess preparedness levels and identify associated factors. Our findings revealed that disaster preparedness knowledge emerged as the strongest predictor of household preparedness (β = 0.539, p < 0.001), followed by perceived disaster risk (β = 0.202, p < 0.001) and perceived disaster consequences (β = 0.193, p < 0.001). Community preparedness and support (β = 0.134, p < 0.001) and governmental preparedness (β = 0.126, p = 0.003) also positively influenced preparedness behaviors, while anxiety showed a negative relationship (β = −0.124, p = 0.010). Notably, socio-demographic characteristics did not significantly predict preparedness, suggesting the importance of local cultural and institutional context. These findings underscore the need for multi-faceted interventions integrating individual-level factors like knowledge with community-level factors like social cohesion and governmental support.
本研究调查了泰国宋卡老城的家庭防灾准备情况,宋卡老城是一个具有重要文化意义的易受洪水影响的地区。利用保护动机理论框架,我们对450个家庭进行了横断面调查,以评估准备水平并确定相关因素。我们的研究结果显示,备灾知识是家庭备灾的最强预测因子(β = 0.539, p <;0.001),其次是感知灾害风险(β = 0.202, p <;0.001)和感知到的灾难后果(β = 0.193, p <;0.001)。社区准备和支持(β = 0.134, p <;0.001)和政府准备(β = 0.126, p = 0.003)对准备行为有正向影响,而焦虑(β = - 0.124, p = 0.010)对准备行为有负向影响。值得注意的是,社会人口特征并不能显著预测准备情况,这表明当地文化和制度背景的重要性。这些发现强调需要采取多方面的干预措施,将个人层面的因素(如知识)与社区层面的因素(如社会凝聚力和政府支持)结合起来。
期刊介绍:
Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery.
A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.