Inequities in Long-Term Housing Recovery After Disasters

Peacock, Walter Gillis; Zandt, Shannon Van; Zhang, Yang; Highfield, Wesley E.

doi:10.1080/01944363.2014.980440

Cited by 260 publications

(201 citation statements)

References 52 publications

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“…Lowe (2012) appeals to planners not to ignore racial issues, but to be visionary and courageous, and seek ways to enhance community sector efforts to create opportunities for racial justice and social equity, which increases the likelihood for better urban planning. A strong comprehensive plan can provide a vision for change in the community, and if equity goals are strong in the plan, they may create an opportunity to use the recovery period to decrease inequities for socially vulnerable populations rather than exacerbating them (Peacock et al 2014). …”

Section: Discussionmentioning

confidence: 99%

What defines success when visions compete: lessons from post-Katrina New Orleans

Dijk

Weitkamp²

2017

International Planning Studies

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Visions can be valuable tools for guiding and uniting land use interests in a region with fragmented administration. What determines the strength of a vision and how can it effectively play its role? Our study tested and supplemented hypotheses on the success factors of visions. We chose a city in a rebuilding process because that represents a most intensive and pressing vision process. We interviewed local policy-makers, designers, researchers, and journalists to find out what they would spontaneously cite as a vision's most crucial factors. We also reviewed the subsequent New Orleans recovery plans and compared our findings with hypotheses from visioning literature. The interviewees' spontaneous answers largely confirm the key hypotheses about success from the visioning literature. However, the most frequently mentioned factors were not in the literature: a vision needs to be propagated by a powerful authority, a favourable larger political climate, and the funds to sustain the implementation process. For a vision to make a difference, it needs to be substantively relevant and persuasive but also have a favourable institutional climate to help it along.

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Section: Discussionmentioning

confidence: 99%

What defines success when visions compete: lessons from post-Katrina New Orleans

Dijk

Weitkamp²

2017

International Planning Studies

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“…Numerous studies suggest *Corresponding author. Email: andrew.rumbach@ucdenver.edu that who you are À your socioeconomic status (SES), age, sex, demographic makeup, and other personal attributes À has a measurable impact on disasters and subsequent recoveries (Highfield, Peacock, and Van Zandt 2014;Peacock et al 2015). When considered together, these personal variables are indicators of social vulnerability to hazards and explain a significant amount of variation in recovery outcomes across social groups, even with similar levels of exposure (e.g., Cutter, Boruff, and Shirley, 2003;Wisner et al 2003;Thomas et al 2013;Tierney 2014;Enarson and Fordham 2001).…”

Section: Introductionmentioning

confidence: 99%

The importance of place in early disaster recovery: a case study of the 2013 Colorado floods

Rumbach

Makarewicz

Németh

2016

Journal of Environmental Planning and Management

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Recovery is an important but understudied phase in the disaster management cycle. Researchers have identified numerous socio-demographic factors that help explain differences in recovery among households, but are less clear on the importance of place, which we define as a household's locality and local governance. In this paper, we examine the influence of place on disaster recovery through a study of the 2013 Colorado floods. Our findings are based on data collected from interviews, observation of recovery meetings, and a survey of 96 flood-affected households. We show that place shapes a household's disaster recovery by structuring: (1) physical exposure to hazards; (2) which local government has jurisdiction over recovery decisions; (3) local planning culture and its approach to citizen participation; and (4) the strength of social capital networks. Our findings expand the recovery literature and show that place-level variables should be taken into consideration when conceptualizing household recovery and resilience.

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“…While recovery is still one of the most understudied areas in disaster research (NRC 2006;Peacock et al 2008;McAllister 2013), recent years have seen new research on long-term recovery and modeling approaches based on empirical and expert knowledge (e.g., Chang et al 2014;Peacock et al, 2014). Drawing on these findings and research undertaken by the NIST team, the CoE is developing a series of algorithms that will model recovery trajectories for infrastructure, housing, businesses, and populations.…”

Section: Defining Resiliency Baselines Resilience Metrics For Recovementioning

confidence: 99%

Computational environment for modeling and enhancing community resilience: Introducing the center for risk-based community resilience planning

Lindt¹,

Ellingwood²,

McAllister³

et al. 2015

Proceedings of the Second International Conference on Performance-Based and Life-Cycle Structural Engineering (PLSE 2015)

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The resilience of a community is defined as its ability to prepare for, withstand, recover from and adapt to the effects of natural or human-caused disasters, and depends on the performance of the built environment and on supporting social, economic and public institutions that are essential for immediate response and long-term recovery and adaptation. The performance of the built environment generally is governed by codes, standards, and regulations, which are applicable to individual facilities and residences, are based on different performance criteria, and do not account for the interdependence of buildings, transportation, utilities and other infrastructure sectors. The National Institute of Standards and Technology recently awarded a new Center of Excellence (NIST-CoE) for Risk-Based Community Resilience Planning, which is headquartered at Colorado State University and involves nine additional universities. Research in this Center is focusing on three major research thrusts: (1) developing the NIST-Community Resilience Modeling Environment known as NIST-CORE, thereby enabling alternative strategies to enhance community resilience to be measured quantitatively; (2) developing a standardized data ontology, robust data architecture and data management tools in support of NIST-CORE; and (3) performing a comprehensive set of hindcasts on disasters to validate the data architecture and NIST-CORE.

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Inequities in Long-Term Housing Recovery After Disasters

Cited by 260 publications

References 52 publications

What defines success when visions compete: lessons from post-Katrina New Orleans

What defines success when visions compete: lessons from post-Katrina New Orleans

The importance of place in early disaster recovery: a case study of the 2013 Colorado floods

Computational environment for modeling and enhancing community resilience: Introducing the center for risk-based community resilience planning

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