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The future of infill housing in California: Opportunities, potential, and feasibility

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  • John D. Landis
  • Heather Hood
  • Guangyu Li
  • Thomas Rogers
  • Charles Warren

Abstract

This article presents a methodology for using county tax assessor records and other geographic information system and secondary source data to develop realistic estimates of community, county, and statewide infill housing potential in California. We first identify the number, acreage, average size, and spatial distribution of vacant and potentially redevelopable parcels within three types of infill counting areas. We then develop a schema for determining appropriate infill housing densities based on transit service availability, local land use mix and character, and initial neighborhood densities. We use this schema to generate local, county, and statewide estimates of infill housing potential. These are then carefully evaluated in terms of their parcel size and financial feasibility, the likelihood that construction will displace existing low‐income renters, and the contribution to cumulative overdevelopment. We conclude with a brief discussion of state‐level policy changes that would reduce barriers to market‐led infill housing construction.

Suggested Citation

  • John D. Landis & Heather Hood & Guangyu Li & Thomas Rogers & Charles Warren, 2006. "The future of infill housing in California: Opportunities, potential, and feasibility," Housing Policy Debate, Taylor & Francis Journals, vol. 17(4), pages 681-725, January.
    • Handle: RePEc:taf:houspd:v:17:y:2006:i:4:p:681-725
    DOI: 10.1080/10511482.2006.9521587
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    Cited by:

    1. McFarlane, Nick & Hurley, Joe & Sun, Qian (Chayn), 2023. "Private-led land assembly and urban consolidation: The relative influence of regulatory zoning mechanisms," Land Use Policy, Elsevier, vol. 134(C).
    2. Wendong Zhang & Douglas H. Wrenn & Elena G. Irwin, 2017. "Spatial Heterogeneity, Accessibility, and Zoning: An Empirical Investigation of Leapfrog Development," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 547-570.
    3. Jacob Dearmon & Tony E. Smith, 2021. "A hierarchical approach to scalable Gaussian process regression for spatial data," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-33, December.
    4. Gabbe, C.J., 2019. "Local regulatory responses during a regional housing shortage: An analysis of rezonings in Silicon Valley," Land Use Policy, Elsevier, vol. 80(C), pages 79-87.
    5. Puustinen, Tuulia & Krigsholm, Pauliina & Falkenbach, Heidi, 2022. "Land policy conflict profiles for different densification types: A literature-based approach," Land Use Policy, Elsevier, vol. 123(C).

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