Abstract

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.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Specifically, data outputs and results from the OLS and GWR models developed for this study are available. Data used to develop the OLS and GWR models were collected from publicly available sources including: the Federal Emergency Management Agency (FEMA 2022); the New York State Department of Labor (New York State Department of Labor 2022); the US BLS (2022); the US Census Bureau (US Census Bureau 2010, 2022a, b, c, d); and Zillow (Zillow 2022).

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Go to Natural Hazards Review
Natural Hazards Review
Volume 24Issue 3August 2023

History

Received: Jul 19, 2022
Accepted: Feb 27, 2023
Published online: Apr 25, 2023
Published in print: Aug 1, 2023
Discussion open until: Sep 25, 2023

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Srijesh Pradhan, S.M.ASCE [email protected]
Graduate Student, Dept. of Construction Management, Colorado State Univ., Fort Collins, CO 80521 (corresponding author). Email: [email protected]
Assistant Professor, Dept. of Construction Management, Colorado State Univ., 1584 Campus Delivery, Fort Collins, CO 80521-1584. ORCID: https://orcid.org/0000-0002-7569-0574. Email: [email protected]
Rodolfo Valdes-Vasquez, Ph.D., Aff.M.ASCE [email protected]
Associate Professor, Dept. of Construction Management, Colorado State Univ., Fort Collins, CO 80521. Email: [email protected]
Hussam Mahmoud, Ph.D., A.M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Colorado State Univ., Fort Collins, CO 80521. Email: [email protected]

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