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Searching for Affordability and Opportunity: A Framework for the Housing Choice Voucher Program

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  • Rebecca J. Walter
  • Ruoniu Wang

Abstract

Affordability, a key factor in the housing search process, becomes critical when locating rental housing in opportunity-rich areas. The Housing Choice Voucher (HCV) program accommodates low-income households searching for housing and encourages recipients to reside in low-poverty areas. Affordable neighborhoods that are accessible to public transportation are often found in distressed areas, and not all HCV recipients succeed in locating qualified housing. To address these challenges, a housing search framework is developed to assist HCV households in the housing search process. This framework builds on the methodology of the U.S. Department of Housing and Urban Development (HUD) for the Location Affordability Index and Affirmatively Furthering Fair Housing assessment tool by creating multivariate indices that incorporate housing supply, accessibility to opportunity, and neighborhood conditions. The framework serves as a foundation for an online housing search application for public housing authorities to further fair housing goals, HCV recipients to locate qualified housing units, and local governments to assess affordability and opportunity.

Suggested Citation

  • Rebecca J. Walter & Ruoniu Wang, 2016. "Searching for Affordability and Opportunity: A Framework for the Housing Choice Voucher Program," Housing Policy Debate, Taylor & Francis Journals, vol. 26(4-5), pages 670-691, September.
    • Handle: RePEc:taf:houspd:v:26:y:2016:i:4-5:p:670-691
    DOI: 10.1080/10511482.2016.1163276
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    References listed on IDEAS

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    1. Oecd, 2011. "Does Participation in Pre-Primary Education Translate into Better Learning Outcomes at School?," PISA in Focus 1, OECD Publishing.
    2. Carlson, Deven & Haveman, Robert & Kaplan, Thomas & Wolfe, Barbara, 2012. "Long-term effects of public low-income housing vouchers on neighborhood quality and household composition," Journal of Housing Economics, Elsevier, vol. 21(2), pages 101-120.
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    Cited by:

    1. Geoff Boeing & Max Besbris & Ariela Schachter & John Kuk, 2021. "Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?," Housing Policy Debate, Taylor & Francis Journals, vol. 31(1), pages 112-126, January.
    2. Ali Sharghi & Abdolmajid Nourtaghani & Mehrnaz Ramzanpour & Reza Bagheri Gorji, 2022. "Low-income housing location based on affordable criteria Using AHP Model and GIS Technique (Case Study: Babolsar City)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10337-10377, August.
    3. Chris Hess & Arthur Acolin & Rebecca Walter & Ian Kennedy & Sarah Chasins & Kyle Crowder, 2021. "Searching for housing in the digital age: Neighborhood representation on internet rental housing platforms across space, platform, and metropolitan segregation," Environment and Planning A, , vol. 53(8), pages 2012-2032, November.
    4. Thomas W. Sanchez, 2021. "Exploring the Relationship between Combined Household Housing and Transportation Costs and Regional Economic Activity in Virginia," Land, MDPI, vol. 10(7), pages 1-10, July.

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