Shared responsibility and social vulnerability in the 2011 Brisbane flood

Box, Pamela; Bird, Deanne; Haynes, Katharine; King, David

doi:10.1007/s11069-016-2145-z

Cited by 45 publications

(47 citation statements)

References 32 publications

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“…3 It is worth noting that in this thesis decision making is framed under uncertainty rather than risk. This is because the occurrence and the extension of the damage of the most recent event that flooded the geographical location of this study in 2011 caught by surprise the great majority of the residents participating in this study (Box et al 2016(Box et al :1563. This element of surprise is relevant for drawing the distinction between uncertainty and risk since, as Knight (2012) explains, risk (or uncertainty risk) is when we know the odds of potential outcomes in advance whereas uncertainty (or genuine uncertainty) occurs when we do not know the possible outcomes in advance and also their probabilities.…”

Section: This Thesis Contributes To This Debate By Arguing That Therementioning

confidence: 99%

Individual Risk Perception and Flood Mitigation: An Empirical Study of Protective Actions in Australia

Uehara¹

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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...

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Section: This Thesis Contributes To This Debate By Arguing That Therementioning

confidence: 99%

Individual Risk Perception and Flood Mitigation: An Empirical Study of Protective Actions in Australia

Uehara¹

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“…The concept of social vulnerability within the disaster management context was introduced in the 1970s when researchers recognized that vulnerability also involves socioeconomic factors that affect community resilience [11][12][13][14]. Based on the engineering-based paradigm, research on disasters emphasizes the exposure, risk, and assessment of vulnerability to biophysical threats [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

Alizadeh

Kotenaee

et al. 2018

Sustainability

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This study presents the application of an artificial neural network (ANN) and geographic information system (GIS) for estimating the social vulnerability to earthquakes in the Tabriz city, Iran. Thereby, seven indicators were identified and used for earthquake vulnerability mapping, including population density, household density, employed density, unemployed density, and literate people. To obtain more accuracy in our analysis, all of the indicators were entered into a geographic information system (GIS). After the standardization of the data, an artificial neural network (ANN) model was applied for deriving a social vulnerability map (SVM) of different hazard classes for Tabriz city. The results showed that 0.77% of the total area was found to be very highly vulnerable. Very low vulnerability was recorded for 76.31% of the total study area. The comparison of data provided by (SVM) and the residential building vulnerability (RBV) of Tabriz city indicated the validity of the results obtained by ANN processes. Scatter plots are used to plot the data. These scatter plots indicate the existence of a strong positive relationship between the most vulnerable zones (1, 4, and 5) and the least (3, 7, and 9) of the SVM and RBV. The results highlight the importance of using social vulnerability study for defining seismic-risk mitigation policies, emergency management, and territorial planning in order to reduce the impacts of disasters.

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“…Much of this scholarship has examined the factors that influence people's adoption of protective behaviours (rather than perceived preparedness) in a variety of different hazard contexts, such as earthquakes (e.g., [16]), volcanoes (e.g., [17]), floods (e.g., [18]), cyclones (e.g., [19][20][21]), and wildfires (e.g., [22]). Some of the factors thought to influence hazard preparedness include an individual's perception of risk (e.g., [23]), which often differs from expert assessments (e.g., [24]), past experiences of natural disasters (e.g., [25]), and perceived self-efficacy (e.g., [10]).…”

Section: Introductionmentioning

confidence: 99%

Perceptions of Cyclone Preparedness: Assessing the Role of Individual Adaptive Capacity and Social Capital in the Wet Tropics, Australia

et al. 2018

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Given projections of future climate-related disasters, understanding the conditions that facilitate disaster preparedness is critical to achieving sustainable development. Here, we studied communities within the Wet Tropics bioregion, Australia to explore whether people's perceived preparedness for a future cyclone relates to their: (1) perceived individual adaptive capacity (in terms of flexibility and capacity to plan and learn); and (2) structural and cognitive social capital. We found that people's perceived cyclone preparedness was only related to their perceived individual flexibility in the face of change. Given that people's perceived cyclone preparedness was related to individualistic factors, it is plausible that individualism-collectivism orientations influence people's perceptions at an individual level. These results suggest that in the Wet Tropics region, enhancing people's psychological flexibility may be an important step when preparing for future cyclones. Our study highlights the need to tailor disaster preparedness initiatives to the region in question, and thus our results may inform disaster risk management and sustainable development policies.

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Shared responsibility and social vulnerability in the 2011 Brisbane flood

Cited by 45 publications

References 32 publications

Individual Risk Perception and Flood Mitigation: An Empirical Study of Protective Actions in Australia

Individual Risk Perception and Flood Mitigation: An Empirical Study of Protective Actions in Australia

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

Perceptions of Cyclone Preparedness: Assessing the Role of Individual Adaptive Capacity and Social Capital in the Wet Tropics, Australia

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