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Post-disaster housing recovery models increase our understanding of recovery dynamics, vulnerable populations, and how people are affected by the direct losses that disasters create. Past recovery models have focused on single-family owner-occupied housing, while empirical evidence shows that rental units and multi-family housing are disadvantaged in post-disaster recovery. To fill this gap, this article presents an agent-based housing recovery model that includes the four common type–tenure combinations of single- and multi-family owner- and renter-occupied housing. The proposed model accounts for the different recovery processes, emphasizing funding sources available to each type–tenure. The outputs of our model include the timing of financing and recovery at building resolution across a community. We demonstrate the model with a case study of Alameda, California, recovering from a simulated M7.0 earthquake on the Hayward fault. The processes in the model replicate higher non-recovery of multi-family housing than single-family housing, as observed in past disasters, and a heavy reliance of single-family renter-occupied units on Small Business Administration funding, which is expected due to low earthquake insurance penetration. The simulation results indicate that multi-family housing would have the highest portion of unmet need remaining; however, some buildings with unmet needs are anticipated to be able to obtain a large portion of their funding. The remaining portion may be filled using personal financing or may be overcome with downsizing or downgrades. Multi-family housing would also benefit the most from Community Development Block Grants for Disaster Recovery (CDBG-DR). This benefit is a result of modeling the financing sources, that CDBG-DR is available, and that many multi-family buildings do not qualify for other sources. Communities’ allocation of public funding is important for housing recovery. Our model can help inform and compare potential financing policies to allocate public funds.
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Housing policies and energy efficiency spillovers in low and moderate income communities
Abstract Housing policies address the human dimensions of increasing urban density, but their energy and sustainability implications are hard to measure due to challenges with siloed civic data. This is especially critical when evaluating policies targeting low- and moderate-income (LMI) households. For example, a major challenge to achieving national energy efficiency goals has been participation by LMI households. Standalone energy efficiency policies, such as information-based programmes and weatherization assistance, tend to attract affluent, informed households or suffer from low participation rates. In this Article, we provide evidence that federal housing policies, specifically community development block grants, accelerate energy efficiency participation from LMI households, including renters and multifamily residents. We conduct record linkage on 5.9M observations of housing programme participation and utility consumption to quantify the hidden benefits of locally administered housing block grants in a typical entitlement community in the US Southeast. We provide long-run evidence across 16,680 properties that housing policies generate 5–11% energy savings as spillover benefits to economically burdened households not conventionally targeted for energy efficiency participation.
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- Award ID(s):
- 1945332
- PAR ID:
- 10577950
- Editor(s):
- Contestabile, Monica
- Publisher / Repository:
- Nature Sustainability
- Date Published:
- Journal Name:
- Nature Sustainability
- Volume:
- 7
- Issue:
- 5
- ISSN:
- 2398-9629
- Page Range / eLocation ID:
- 590 to 601
- Subject(s) / Keyword(s):
- housing, energy efficiency, civic data science
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1038/s41893-024-01314-w
