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How Construction and Socioeconomic Resource Availability Affected Housing Recovery after Hurricane Sandy

Bibliographic Data

ID21738544
AuthorsSrijesh Pradhan (Colorado State University), Erin Arneson (0000-0002-7569-0574, Colorado State University, corresponding author), Rodolfo Valdes-Vasquez (0000-0002-6971-1885, Colorado State University, corresponding author), Hussam Mahmoud (0000-0002-3106-6067, Colorado State University, corresponding author)
Year2023
Volume24
Issue3
Publication date2023-08-01
Open AccessNo
TypeARTICLE
VenueNatural Hazards Review (JOURNAL)
Journal identifiersISSN: 1527-6988 • E-ISSN: 1527-6996
PublisherAmerican Society of Civil Engineers (ASCE) (PUBLISHER • US)
DOI10.1061/nhrefo.nheng-1703
OpenAlexW4366994547
LanguageEN
Citations received1
References cited35

The US utilizes a market-driven resourcing approach for post-disaster residential housing reconstruction, where homeowners must quickly secure financial capital to compete for limited construction resources. However, homeowners’ financial capital resource availability is driven by household socioeconomic status. Construction resource availability is constrained by the available supply of labor and material within the local construction industry market. Since resource availability varies geographically under a market-driven model, this study investigates the spatially varying influence of pre-disaster construction and socioeconomic resource availability on post-disaster residential housing recovery. County-level data was collected and analyzed for US states with federal major disaster declarations following Hurricane Sandy, namely Connecticut, New Jersey, New York, and Rhode Island. Geographically weighted regression (GWR) model results show how the uneven geographic distribution of pre-disaster construction and socioeconomic resources creates regional disparities in post-disaster housing recovery outcomes

Business · Economics · Environmental health · Environmental planning · Environmental resource management · Geography · Natural resource economics · Population · Resource allocation · Resource distribution · Socioeconomic status · Computer Science · Disaster Management and Resilience · Facility Location and Emergency Management · Infrastructure Resilience and Vulnerability Analysis

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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