Evaluating implications of flood vulnerability factors with respect to income levels for building long-term disaster resilience of low-income communities

Deria, Anisha; Ghannad, Pedram; Lee, Yong-Cheol

doi:10.1016/j.ijdrr.2020.101608

Cited by 56 publications

(24 citation statements)

References 17 publications

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“…The residents may be required to move to other properties or apartment units because of flooding damages. The high-income population is able to live in houses less vulnerable to flooding (Deria, Ghannad, & Lee, 2020) or have flood insurance and financial resources (Atreya, Ferreira, & Michel-Kerjan, 2015;Browne & Hoyt, 2000), allowing them more time to consider and make decisions regarding rebuilding their home and relocation. People unable to afford repair costs or living in rental apartments/homes are less likely to return to their homes due to insufficient financial resources (Fussell & Harris, 2014).…”

Section: Comparisons Between Long and Short Return Durationmentioning

confidence: 99%

Specifying Evacuation Return and Home-switch Stability During Short-term Disaster Recovery Using Location-based Data

Lee,

Chou,

Mostafavi

2022

Preprint

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The objectives of this study are: (1) to specify evacuation return and home-switch stability as two critical milestones of short-term recovery during and in the aftermath of disasters; and (2) to understand the disparities among subpopulations in the duration of these critical recovery milestones. Using privacy-preserving fine-resolution location-based data, we examine evacuation return and home move-out rates in Harris County, Texas in the context of the 2017 Hurricane Harvey. For each of the two critical recovery milestones, the results reveal the areas with short-and long-return durations and enable evaluating disparities in evacuation return and home-switch stability patterns. In fact, a shorter duration of critical recovery milestone indicators in flooded areas is not necessarily a positive indication. Shorter evacuation return could be due to barriers to evacuation and shorter home move-out rate return for lower-income residents is associated with living in rental homes. In addition, skewed and non-uniform recovery patterns for both the evacuation return and home-switch stability were observed in all subpopulation groups. All return patterns show a two-phase return progress pattern. The findings could inform disaster managers and public officials to perform recovery monitoring and resource allocation in a more proactive, data-driven, and equitable manner.

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Section: Comparisons Between Long and Short Return Durationmentioning

confidence: 99%

Specifying Evacuation Return and Home-switch Stability During Short-term Disaster Recovery Using Location-based Data

Lee,

Chou,

Mostafavi

2022

Preprint

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“…Numerous literatures have studied the concept of resilience (Burnard and Bhamra, 2011;Amann and Jaussaud, 2012), influencing factors (Maliszewski and Perrings, 2012;Deria et al, 2020), action processes (Jüttner and Maklan, 2011;Walther et al, 2011) and so on.…”

Section: Introductionmentioning

confidence: 99%

“…‘Make your organisation more resilient’ has gradually become a hot topic in the field of management practice (Hillmann & Guenther, 2021 ), which indicates the urgency of conducting research on organisational resilience. Numerous literature studies have studied the concept of resilience (Amann & Jaussaud, 2012 ; Burnard & Bhamra, 2011 ), influencing factors (Deria, Ghannad, & Lee, 2020 ; Maliszewski & Perrings, 2012 ), action processes (Jüttner & Maklan, 2011 ; Walther, Schulz, & Dörry, 2011 ) and so on.…”

Section: Introductionmentioning

confidence: 99%

Organisational resilience in the COVID-19: A case study from China

Yang

Tang

Chao

et al. 2021

Journal of Management & Organization

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The sudden outbreak of coronavirus disease-2019 (COVID-19) sparked widespread concern about organisational resilience in the management domain. The resources, operations and practices of organisational resilience have to be considered in particular contexts at different stages and in relation to numerous inputs, processes and outputs. Selected as one example, the preparation, response and development of a retail supermarket's management and operations in China is examined through an empirical case study. Supply chain and digital construction, improvisational ability, system management and corporate social responsibility all played a positive role in this organisation's response to the outbreak of COVID-19 (2019–2020) in the Chinese management context. Organisational resilience is reflected in the case study organisation's self-interested and altruistic policies and practices. The case provides valuable insights on efficacious management practices for organisational resilience building in the retail industry.

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“…Computation of Vulnerability implies the challenging task of combining social and geophysical components to model their interrelations to the overall flood vulnerability (Imran et al, 2019), as vulnerability remains a function of both the economic and socio-demographic factors and indicators (Deria et al, 2020). The assessment models of multidimensional flood vulnerability are simple and can be used for vulnerability analysis of natural disasters at regional or national levels (Huang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India

2021

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This paper presents a Data Envelopment Analysis (DEA) based framework for estimating the flood vulnerabilities in River basins. The methodology has been exemplified for the 21 districts of the Narmada River basin in central India. Sensitivity and adaptive capacity indicators have been identified and used for the development of the Flood Vulnerability Index (FVI). DEA based study was employed to assess the Scale Efficiencies and the Returns to Scale and insights drawn from the analysis have been discussed in the context of policy and planning related to reduction of flood vulnerabilities. Cluster analysis has also been deployed to classify districts in terms of flood vulnerabilities. Results from the flood vulnerability assessment model case study indicate that 76% of the districts in the Narmada River Basin remain highly vulnerable to flood-risk, while the socio-economic parameters and physical sizes of districts and their resources play a crucial role.

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Evaluating implications of flood vulnerability factors with respect to income levels for building long-term disaster resilience of low-income communities

Cited by 56 publications

References 17 publications

Specifying Evacuation Return and Home-switch Stability During Short-term Disaster Recovery Using Location-based Data

Specifying Evacuation Return and Home-switch Stability During Short-term Disaster Recovery Using Location-based Data

Organisational resilience in the COVID-19: A case study from China

Flood vulnerability assessment using data envelopment analysis – the case of Narmada river basin districts in central India

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