“…of King et al (2014), one variable that the model of this study identified and was not seen in the results of King et al (2014) was that men were more likely to relocate than women.…”
Section: Previous Studies On Relocationmentioning
confidence: 76%
“…Higher levels of government often do not become involved in relocation issues at the local level since it requires buy-in from community leaders and compliance to existing planning regulations (Sipe and Vella 2014). 58 Moreover, the success of relocation policies depends on the participation of citizens and community leaders in the early stages of the decision-making processes (Sipe and Vella 2014 King et al (2014) were also reached by this thesis. Respondents that did not expect to live longer in their property were more likely to relocate.…”
Section: Previous Studies On Relocationmentioning
confidence: 82%
“…The model of this thesis present significant differences with the study of King et al (2014). The main difference is that King et al (2014) did not capture the motivations of residents to relocate whereas this study included risk perception factors in its model.…”
The Australian government has increasingly expected that individuals collaborate with public efforts to reduce hazard risks by taking some action themselves. This expectation, however, has failed to consider the complexity of the decision-making process at the household level.Individual decision making is rather complex as it involves a wide range of factors that should be taken into account before the government can assess to what extent individuals at risk can effectively contribute to the reduction of hazard risks. This is where a theoretical framework makes a contribution to this thesis by guiding data collection and analysis. Thus this thesis resorts to a comprehensive socio-psychological theory to generate empirical data on the different factors affecting decision making under uncertainty.The testing of this comprehensive theoretical framework called Protection Motivation Theory focuses on the explanatory variables of risk perception ('threat appraisal') and coping measures ('coping appraisal'). Threat appraisal factors have to do with the perception of hazard risks and coping appraisal variables measure the perceived ability of an individual to take action. The novelties of this study are i) the application of this theoretical framework, which has already been tested in order countries, for the first time in Australia, more specifically among householders living in flood-prone locations in Southeast Queensland; ii) a dataset featuring significant variability in terms of vulnerability and exposure levels of the population at risk; iii) the assessment of how heuristics and biases affect decision making under uncertainty; and iv) qualitative data to unpack non-intuitive associations and understand the role that the nature of threats and protective actions play in the decisions of householders to take protective actions. An interesting finding from previous studies is that coping factors are better predictors for protective actions than risk perception. This thesis then will verify whether this association is also observed in the Australian context. However, emerging from this study, is the argument that individuals at risk living in this region make decisions which do factor in their hazard risk perceptions and their perceived capacity to take action; however, this decision-making process also take into account the vulnerability conditions of the population at risk. Also, qualitative data suggest that exposure to hazard risks shaped by the nature of the threat and the characteristics of the protective action also play a role in the decision of householders to take preventive measures that reduce or eliminate flood damage. The findings on how these conditions and circumstances influence decisions made under uncertain scenarios are the main contribution of this thesis to the literature.
3This contribution, however, is not only relevant within the academic community. If Australian authorities are to enhance the resilience of communities at risk to potential damage caused by hazards, it needs first to ha...
“…of King et al (2014), one variable that the model of this study identified and was not seen in the results of King et al (2014) was that men were more likely to relocate than women.…”
Section: Previous Studies On Relocationmentioning
confidence: 76%
“…Higher levels of government often do not become involved in relocation issues at the local level since it requires buy-in from community leaders and compliance to existing planning regulations (Sipe and Vella 2014). 58 Moreover, the success of relocation policies depends on the participation of citizens and community leaders in the early stages of the decision-making processes (Sipe and Vella 2014 King et al (2014) were also reached by this thesis. Respondents that did not expect to live longer in their property were more likely to relocate.…”
Section: Previous Studies On Relocationmentioning
confidence: 82%
“…The model of this thesis present significant differences with the study of King et al (2014). The main difference is that King et al (2014) did not capture the motivations of residents to relocate whereas this study included risk perception factors in its model.…”
The Australian government has increasingly expected that individuals collaborate with public efforts to reduce hazard risks by taking some action themselves. This expectation, however, has failed to consider the complexity of the decision-making process at the household level.Individual decision making is rather complex as it involves a wide range of factors that should be taken into account before the government can assess to what extent individuals at risk can effectively contribute to the reduction of hazard risks. This is where a theoretical framework makes a contribution to this thesis by guiding data collection and analysis. Thus this thesis resorts to a comprehensive socio-psychological theory to generate empirical data on the different factors affecting decision making under uncertainty.The testing of this comprehensive theoretical framework called Protection Motivation Theory focuses on the explanatory variables of risk perception ('threat appraisal') and coping measures ('coping appraisal'). Threat appraisal factors have to do with the perception of hazard risks and coping appraisal variables measure the perceived ability of an individual to take action. The novelties of this study are i) the application of this theoretical framework, which has already been tested in order countries, for the first time in Australia, more specifically among householders living in flood-prone locations in Southeast Queensland; ii) a dataset featuring significant variability in terms of vulnerability and exposure levels of the population at risk; iii) the assessment of how heuristics and biases affect decision making under uncertainty; and iv) qualitative data to unpack non-intuitive associations and understand the role that the nature of threats and protective actions play in the decisions of householders to take protective actions. An interesting finding from previous studies is that coping factors are better predictors for protective actions than risk perception. This thesis then will verify whether this association is also observed in the Australian context. However, emerging from this study, is the argument that individuals at risk living in this region make decisions which do factor in their hazard risk perceptions and their perceived capacity to take action; however, this decision-making process also take into account the vulnerability conditions of the population at risk. Also, qualitative data suggest that exposure to hazard risks shaped by the nature of the threat and the characteristics of the protective action also play a role in the decision of householders to take preventive measures that reduce or eliminate flood damage. The findings on how these conditions and circumstances influence decisions made under uncertain scenarios are the main contribution of this thesis to the literature.
3This contribution, however, is not only relevant within the academic community. If Australian authorities are to enhance the resilience of communities at risk to potential damage caused by hazards, it needs first to ha...
“…Migration, even when principally forced rather than voluntary, in the respondents' views, is used to cope with and adapt to a wide variety of circumstances including but not limited to climatic influences, a viewpoint corroborated by the literature on Bangladesh [27,39,41,[63][64][65]. The literature beyond Bangladesh also aligns with this view [1][2][3]5,8,25,26] including for locations such as small islands [9,[22][23][24] and the Sahel [19][20][21].…”
Section: Migration As Climate Change Adaptation?mentioning
confidence: 80%
“…Examples are focusing on migration within and from drought-affected areas [19][20][21]; migration-related interests in the context of projected sea-level rise from small island communities [22][23][24]; and migration responses to floods and storms [14,25,26].…”
Abstract:People have long migrated for many reasons, often with a combination of forced and voluntary reasons combining to push them away from current situations and to pull them towards new situations. Bangladesh is one example where environmental changes have long been amongst the multitude of reasons for migrating, with contemporary climate change suggested as a major impetus towards more migration. This paper examines local expert perceptions of migration as a climate change adaptation strategy for Bangladeshis. Seventeen in-depth interviews were conducted with local experts in Bangladesh and Assam (India) on environmental change and migration to understand the perspectives of those with formal education and expert-related jobs who come from the areas being directly affected by Bangladeshi migration. Findings show that local experts consider that migration is used and will be used for climate change adaptation in Bangladesh, but migration is not solely for climate change adaptation, instead interweaving with all other factors influencing migration-related decisions.
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