Perceived and projected flood risk and adaptation in coastal Southeast Queensland, Australia

Mills, Morena; Mutafoglu, Konar; Adams, Vanessa M.; Archibald, Carla L.; Bell, Justine; Leon, Javier X.

doi:10.1007/s10584-016-1644-y

Cited by 50 publications

(32 citation statements)

References 38 publications

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“…However, respondents from households that had experienced a flood in the previous two years were far more likely to perceive flooding as problematic; close to 40% of the exposed population reported flooding as a serious problem or the most serious problem for their household and over half (54%) reported it as serious or most serious for their community, compared with 2% and 17% of those who had not been exposed to a recent flood, respectively. This is in line with previous studies finding experience of past flooding as a strong contributing factor to risk perception (Mills et al 2016). There were no other sociodemographic cleavages, except that respondents from asset poor households were more likely to believe flooding was serious for their communities.…”

Section: Experience Of Floods and Perception Of Risksupporting

confidence: 93%

“…Each capacity question used a standardized unipolar Likert scale with four response alternatives. The approach builds on methods used to assess social resilience in individual communities (see Marshall https://www.ecologyandsociety.org/vol23/iss1/art9/ , as well as similar approaches used to evaluate subjective capacities in related fields such as subjective well-being (OECD 2013), risk perception (Mills et al 2016), and psychological resilience (Connor and Davidson 2003).…”

Section: Conceptual Approachmentioning

confidence: 99%

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Subjective measures of household resilience to climate variability and change: insights from a nationally representative survey of Tanzania

Jones¹,

Samman²,

Vinck³

2018

E&S

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ABSTRACT. Promoting household resilience to climate extremes has emerged as a key development priority. Yet tracking and evaluating resilience at this level remains a critical challenge. Most quantitative approaches rely on objective indicators and assessment frameworks, but these are not fully satisfactory. Much of the difficulty arises from a combination of conceptual ambiguities, challenges in selecting appropriate indicators, and in measuring the many intangible aspects that contribute to household resilience. More recently, subjective measures of resilience have been advocated in helping to overcome some of the limitations of traditional objective characterizations. However, few large-scale studies of quantitative subjective approaches to resilience measurement have been conducted.In this study, we address this gap by exploring perceived levels of household resilience to climate extremes in Tanzania and the utility of standardized subjective methods for its assessment. A nationally representative cross-sectional survey involving 1294 individuals was carried out by mobile phone in June 2015 among randomly selected adult respondents aged 18 and above. Factors that are most associated with resilience-related capacities are having had advance knowledge of a previous flood, and to a lesser extent, believing flooding to be a serious community problem. Somewhat surprisingly, though a small number of weak relationships are apparent, most socio-demographic variables do not exhibit statistically significant differences with regards to perceived resilience-related capacities. These findings may challenge traditional assumptions about what factors characterize household resilience, offering a motivation for studying both subjective and objective perspectives, and understanding better their relationship to one another. If further validated, subjective measures may offer potential as both a complement and alternative to traditional objective methods of resilience measurement, each with their own merits and limitations.

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Section: Experience Of Floods and Perception Of Risksupporting

confidence: 93%

Section: Conceptual Approachmentioning

confidence: 99%

Subjective measures of household resilience to climate variability and change: insights from a nationally representative survey of Tanzania

Jones¹,

Samman²,

Vinck³

2018

E&S

View full text Add to dashboard Cite

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“…Using American Community Survey data, we first test for differential sorting. Previous literature (Lindell and Hwang, 2008;Kellens et al, 2011Kellens et al, , 2012Mills et al, 2016) has shown that education and duration of residence, for example, are correlates of risk preferences and perceptions. We find that while these and other correlates are evolving 1 Such inattention could be rational (Sims, 2006;Ellis, 2018) or the result of optimization failure (Kahneman, 2003).…”

Section: Introductionmentioning

confidence: 99%

Climate Risk and Beliefs in New York Floodplains

Gibson¹,

Mullins²

2020

Journal of the Association of Environmental and Resource Econom

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Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

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“…Phone interviews (Mills et al 2016), email (Sciulli 2013), open online surveys (Kiem and Austin 2013), workshops (Taylor et al 2013), focus groups (Bates et al 2013), semi-structured interviews (O'Toole and Coffey 2013) or some combination (Gurran et al 2013;Kiem et al 2014) have all been employed, with sample sizes ranging from fewer than 30 (Sciulli 2013) to over 400 (Mills et al 2016). Here, we used an online approach, as providing a fast, low-cost and structured means of gathering information.…”

Section: Understanding User Needs From Coastadaptmentioning

confidence: 99%

Overcoming knowledge barriers to adaptation using a decision support framework

et al. 2018

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A decision support and information delivery framework, CoastAdapt, has been built to support the coastal adaptation community in Australia to take action to address climate change and sea-level rise. For such frameworks to be useful, used and long-lived, their development requires collaboration between creators and potential users. Therefore, we undertook extensive consultation throughout the design, build and evaluation. In this paper, we explore those aspects of the consultation that focused on understanding and addressing user needs and how CoastAdapt could best provide support to effectively carry out adaptation planning and action. The first step was to identify, through an online survey and workshops, the knowledge gaps and barriers that could be addressed by CoastAdapt. The responses fed into the design and build, together with additional feedback from users on the layout and content. Following release of the beta version, further comments from users were collected and scrutinised to identify modifications that could increase relevance and utility. Finally, test cases were carried out to understand whether CoastAdapt is truly fit for purpose in addressing 'real-world' adaptation situations. The end result is a supportive framework for coastal adaptation that will require constant monitoring and updating to ensure it remains fit for purpose given Australia's rapidly evolving adaptation landscape.Climatic Change

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Perceived and projected flood risk and adaptation in coastal Southeast Queensland, Australia

Cited by 50 publications

References 38 publications

Subjective measures of household resilience to climate variability and change: insights from a nationally representative survey of Tanzania

Subjective measures of household resilience to climate variability and change: insights from a nationally representative survey of Tanzania

Climate Risk and Beliefs in New York Floodplains

Overcoming knowledge barriers to adaptation using a decision support framework

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