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Modelling community preparation for natural hazards: Understanding hazardudcognitions

机译:为自然灾害的社区准备建模:了解灾害 ud认知

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摘要

The present study adopts a mixed methods approach, integrating data fromudquantitative and qualitative studies, to examine the all-hazards validity of a modeluddeveloped to predict adoption of hazard preparedness measures and to systematicallyudelicit information regarding factors that influence decisions to adopt preparationudactivities to minimise the effects of natural hazards. The research focuses on howudsocial and societal factors interact to influence the adoption of protective measuresudagainst the effects of natural hazards. The premise upon which the model is basedudargues that that it is not information per se that determines action, but how peopleudinterpret it in the context of experiences, beliefs and expectations that are developedudand enacted in a social context.udThe quantitative analysis involves testing the Social Predictor Model ofudIntentions to Prepare for Natural Hazards (Paton, 2006) to assess the underlying socialudinfluences of intentions to prepare for both earthquakes and floods. Participants forudthis component of the study were from locations in New Zealand (Napier) andudAustralia (Benalla, Launceston, Ingham and Longford) that face high risk of exposureudto earthquake and flooding hazards respectively. Findings demonstrated that theudindividual, community and institutional components of the model interact to influenceudpeople’s intentions concerning the efficacy of adopting hazard mitigation strategies.udThese findings also support the applicability of the model for multiple hazards andudacross diverse locationsudThe qualitative component of the study used means-end chain theory (Gutman,ud1982, 1997) to elicit more detailed information from participants regarding theiruddecision making process regarding the adoption of preparation activities to minimise the effects of natural hazards. Interviewees were recruited from locations at risk ofudflooding and earthquakes in both New Zealand (Napier) and Australia (Benalla,udVictoria and Launceston Tasmania). A major finding arising from the qualitative dataudwas the distinction people made in the trust and distrust of civic emergencyudmanagement authorities. These decisions were based on the relevance that peopleudattached to information provided by these authorities. A further important finding wasudthe motivating role of the responsibility that individuals felt towards the wellbeing ofudothers. Individuals felt that it was an obligation on their part to render assistance toudothers.udOverall, the findings indicate that facilitating sustained preparedness involvesudunderstanding how people construe the relationship between themselves, the hazardudand the protective measures available to them and assisting their protective decisionudmaking within this socio-ecological context. Delivering hazard mitigation strategiesudthus involves engaging with community members in order to understand their needsudand to render meaningful assistance in their decisions. It is when people believe thatudinformation relating to hazard mitigation is meaningful that these strategies will beudattended to and adopted.
机译:本研究采用混合方法方法,整合了来自定量和定性研究的数据,以检验模型 u开发的所有危害有效性,以预测危害准备措施的采用,并系统公开有关影响采用决定的因素的信息。准备活动以最大程度地减少自然危害的影响。该研究集中于社会和社会因素如何相互作用以影响采取保护措施抵御自然灾害的影响。该模型所基于的前提是/怀疑,不是决定行为的信息本身,而是人们如何根据在社会环境中发展起来的经验,信念和期望来解释它。定量分析涉及测试自然灾害准备工作的社会预测模型(Paton,2006),以评估地震和洪水准备工作的潜在社会影响。该部分研究的参与者分别来自新西兰(纳皮尔)和澳大利亚ud(贝纳拉,朗塞斯顿,英厄姆和朗福德)等面临地震和洪水危害的高风险地区。研究结果表明,该模型的个人,社区和机构组成部分相互影响,从而影响人们对采用危险缓解策略的有效性的意图。这些结果还支持该模型对多种危险和遍及不同地点的适用性 ud该研究的组成部分采用了均值-末端链理论(Gutman, ud1982,1997),从参与者那里获得了关于他们的决策过程的详细信息,这些决策过程涉及为减少自然灾害影响而进行的准备活动。受访者是从新西兰(Napier)和澳大利亚(Benalla, udVictoria和Launceston Tasmania)有洪水泛滥和地震危险的地点招募的。定性数据的主要发现是人们在对公民紧急情况/管理部门的信任与不信任中所做出的区别。这些决定基于人们对这些当局提供的信息的相关性。另一个重要的发现是 ud个人对 udother的幸福感所承担的责任的激励作用。个人认为,向其他人提供帮助是他们的义务。 ud总体而言,调查结果表明,促进持续的准备工作涉及理解人们如何理解自己与他人之间的关系,危害 ud和他们可以使用的保护措施并提供帮助。他们在这种社会生态环境中的保护性决策决策。制定减轻危害的策略 udus涉及与社区成员互动,以便了解他们的需求 udand并在其决策中提供有意义的帮助。当人们认为与减轻危害有关的 uD信息有意义时,这些策略才会被 uDattended并采用。

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    McIvor D;

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  • 年度 2010
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