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Jobs Housing Fit in the Bay Area

Jobs Housing Fit in the Bay Area. Chris Benner, University of California Davis. From jobs-housing balance to fit. First systematic studies in the late 1980s Found that commute distance was affected by a multitude of factors Low-income workers given special consideration

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Jobs Housing Fit in the Bay Area

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  1. Jobs Housing Fit in the Bay Area Chris Benner, University of California Davis

  2. From jobs-housing balance to fit • First systematic studies in the late 1980s • Found that commute distance was affected by a multitude of factors • Low-income workers given special consideration • Appropriate “fit” between jobs and housing often discussed but never explicitly studied

  3. Issues and opportunities • Why should we care? • VMT, GHG, and equity • Current conditions versus projections • Appropriate geography of analysis Prototype jobs-housing fit analysis(Sacramento Area Council of Governments)

  4. Data • Jobs • Longitudinal Employer-Household Dynamics • http://onthemap.ces.census.gov/ • Any geography possible • Low-wage ≤ $1250/month • Affordable rental units • American Community Survey • CensusSummary File 1 • Rent ≤ $750/month • Margins of error (places vs. tracts)

  5. Method • Jurisdiction level • Linked to political process and decisions regarding affordable housing provision • Tract/buffer level • More closely linked to VMT • Avoids problems with arbitrary boundaries

  6. Red = Severe shortage of affordable rental units • Blue = Excess of affordable rental units in relation to available low-wage jobs mappingregionalchange.ucdavis.edu

  7. Multiple Silicon Valley Cities with JHFit > 5 Multiple Eastern Suburbs with JHFit > 10

  8. Tract/buffer level results

  9. Buffer definition • Sidestep problems with arbitrary jurisdictional boundaries • Test different sizes using travel data • Highlights small geographies with poor fit Example buffer definition

  10. Commute performanceby Alex Karner

  11. Bay Area VMT • Data from activity-based microsimulation of daily travel patterns in 2010 • Allows analysis of low-wage VMT attracted to each zone

  12. Bay Area VMT Low-wage worker 1 15 mile one-way commute Low-wage worker 2 12 mile one-way commute Census Tract 15 Low-wage worker 3 22 mile one-way commute Total work VMT attracted = 49 Total workers = 3 Attracted work VMT per worker= 49/3 = 16.3

  13. Bay Area VMT Mean VMT attracted by JH fit category Model results

  14. Bay Area VMT

  15. Conclusions • New method to calculate and track changes in jobs-housing fit over time using public data • Highlights opportunities for affordable housing provision and economic development • Clear implications for low-income commute performance

  16. Contact Chris Benner ccbenner@ucdavis.edu http://regionalchange.ucdavis.edu http://mappingregionalchange.ucdavis.edu Acknowledgements Advocates Felicity Gasser Sam Tepperman-Gelfant Lisa Hershey Collaborators BiditaTithi Alex Karner Jonathan London Catherine Garoupa-White

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