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Past recovery models have focused on single\u2010family owner\u2010occupied housing, while empirical evidence shows that rental units and multi\u2010family housing are disadvantaged in post\u2010disaster recovery. To fill this gap, this article presents an agent\u2010based housing recovery model that includes the four common type\u2013tenure combinations of single\u2010 and multi\u2010family owner\u2010 and renter\u2010occupied housing. The proposed model accounts for the different recovery processes, emphasizing funding sources available to each type\u2013tenure. 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\u2010recovery of multi\u2010family housing than single\u2010family housing, as observed in past disasters, and a heavy reliance of single\u2010family renter\u2010occupied units on Small Business Administration funding, which is expected due to low earthquake insurance penetration. The simulation results indicate that multi\u2010family 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\u2010family housing would also benefit the most from Community Development Block Grants for Disaster Recovery (CDBG\u2010DR). This benefit is a result of modeling the financing sources, that CDBG\u2010DR is available, and that many multi\u2010family buildings do not qualify for other sources. Communities\u2019 allocation of public funding is important for housing recovery. Our model can help inform and compare potential financing policies to allocate public funds.<\/jats:p>","DOI":"10.1177\/87552930231222769","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T06:26:28Z","timestamp":1704695188000},"page":"1353-1375","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Modeling post\u2010disaster recovery: Accounting for rental and multi\u2010family housing"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9374-7370","authenticated-orcid":false,"given":"Emily","family":"Mongold","sequence":"first","affiliation":[{"name":"Stanford University Stanford CA USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6530-4748","authenticated-orcid":false,"given":"Rodrigo","family":"Costa","sequence":"additional","affiliation":[{"name":"University of Waterloo Waterloo ON Canada"}]},{"given":"\u00c1d\u00e1m","family":"Zsarn\u00f3czay","sequence":"additional","affiliation":[{"name":"Stanford University Stanford CA USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2744-9599","authenticated-orcid":false,"given":"Jack W","family":"Baker","sequence":"additional","affiliation":[{"name":"Stanford University Stanford CA USA"}]}],"member":"311","published-online":{"date-parts":[[2024,5]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"Alameda County Assessor\u2019s Office(2021)Alameda County Parcel Viewer. 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