1 JOBS HOUSING FIT IN THE BAY AREA Chris Benner, University of California Davis From jobs-housing balance to fit 2 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 Issues and opportunities 3 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) Data 4 Jobs Longitudinal Employer-Household Dynamics http://onthemap.ces.census.gov/ Any geography possible Low-wage ≤ $1250/month Affordable rental units American Community Survey Census Summary File 1 Rent ≤ $750/month Margins of error (places vs. tracts) Method 5 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 lowwage jobs mappingregionalchange.ucdavis.edu Table 1: Jobs and Housing in the 20 Largest Cities and Towns in the Bay Area Region, 2011 Job-Housing Ratio Jobs Housing Units Affordable Rental (Deficit) or Surplus (to Low-Wage reach JHFIT Jobs/Housing Ratio of All Jobs/All Affordable All Housing County Place Fit Ratio 2.00) Housing All Low-Wage Rental Units San Francisco San Francisco city 2.09 (2,387) 1.66 589,717 110,483 52,855 354,875 Santa Clara San Jose city 3.98 (18,416) 1.18 365,159 74,112 18,640 309,575 Alameda Oakland city 1.38 8,627 1.20 197,708 38,225 27,739 164,278 Santa Clara Santa Clara city 6.72 (4,698) 2.23 97,286 13,380 1,992 43,696 Santa Clara Palo Alto city 6.32 (3,458) 3.44 91,707 10,115 1,600 26,661 Alameda Fremont city 8.67 (5,659) 1.21 87,368 14,711 1,697 71,936 Santa Clara Sunnyvale city 3.65 (2,059) 1.50 81,982 9,121 2,502 54,652 Sonoma Santa Rosa city 3.31 (3,253) 1.04 67,502 16,450 4,972 64,611 Alameda Hayward city 5.05 (3,629) 1.38 64,932 12,022 2,382 47,099 Contra Costa Walnut Creek city 10.36 (3,729) 1.76 54,512 9,241 892 30,995 Santa Clara Mountain View city 4.03 (1,712) 1.66 53,707 6,791 1,684 32,309 Alameda Pleasanton city 21.08 (4,760) 2.12 52,358 10,518 499 24,703 Contra Costa Concord city 5.63 (3,873) 1.08 50,829 12,009 2,132 46,931 San Mateo Redwood City city 5.81 (2,201) 1.74 49,845 6,710 1,154 28,646 Alameda Berkeley city 1.95 161 1.07 49,459 11,391 5,856 46,418 San Mateo South San Francisco city 5.08 (1,889) 2.04 43,910 6,227 1,225 21,500 Santa Clara Milpitas city 9.85 (3,109) 2.18 41,817 7,801 792 19,224 San Mateo San Mateo city 5.64 (2,723) 1.06 41,104 8,435 1,495 38,863 Contra Costa San Ramon city 16.04 (2,676) 1.66 41,067 6,113 381 24,764 Alameda San Leandro city 4.46 (2,354) 1.28 38,742 8,538 1,915 30,364 Sourcs: 7 Authors' Analysis of LEHD and ACS data Table 1: Jobs and Housing in the 20 Largest Cities and Towns in the Bay Area Region, 2011 Job-Housing Ratio Jobs Housing Units Affordable Rental (Deficit) or Surplus (to Multiple Silicon Valley Cities with Low-Wage reach JHFIT Jobs/Housing Ratio of All Jobs/All JHFit > 5 Affordable All Housing County Place Fit Ratio 2.00) Housing All Low-Wage Rental Units San Francisco San Francisco city 2.09 (2,387) 1.66 589,717 110,483 52,855 354,875 Santa Clara San Jose city 3.98 (18,416) 1.18 365,159 74,112 18,640 309,575 Alameda Oakland city 1.38 8,627 1.20 197,708 38,225 27,739 164,278 Santa Clara Santa Clara city 6.72 (4,698) 2.23 97,286 13,380 1,992 43,696 Santa Clara Palo Alto city 6.32 (3,458) 3.44 91,707 10,115 1,600 26,661 Alameda Fremont city 8.67 (5,659) 1.21 87,368 14,711 1,697 71,936 Multiple Eastern Suburbs with Santa Clara Sunnyvale city 3.65 (2,059) 1.50 81,982 9,121 2,502 54,652 Sonoma Santa Rosa city 3.31 (3,253) 1.04 67,502 4,972 64,611 JHFit > 1016,450 Alameda Hayward city 5.05 (3,629) 1.38 64,932 12,022 2,382 47,099 Contra Costa Walnut Creek city 10.36 (3,729) 1.76 54,512 9,241 892 30,995 Santa Clara Mountain View city 4.03 (1,712) 1.66 53,707 6,791 1,684 32,309 Alameda Pleasanton city 21.08 (4,760) 2.12 52,358 10,518 499 24,703 Contra Costa Concord city 5.63 (3,873) 1.08 50,829 12,009 2,132 46,931 San Mateo Redwood City city 5.81 (2,201) 1.74 49,845 6,710 1,154 28,646 Alameda Berkeley city 1.95 161 1.07 49,459 11,391 5,856 46,418 San Mateo South San Francisco city 5.08 (1,889) 2.04 43,910 6,227 1,225 21,500 Santa Clara Milpitas city 9.85 (3,109) 2.18 41,817 7,801 792 19,224 San Mateo San Mateo city 5.64 (2,723) 1.06 41,104 8,435 1,495 38,863 Contra Costa San Ramon city 16.04 (2,676) 1.66 41,067 6,113 381 24,764 Alameda San Leandro city 4.46 (2,354) 1.28 38,742 8,538 1,915 30,364 Sourcs: 8 Authors' Analysis of LEHD and ACS data Table 2: Jobs and Housing in the 20 cities and towns with the highest low-wage jobs/housing fit ratio in the Bay Area Region Job-Housing Ratio Jobs Housing Units Affordable Rental Deficit Low-Wage (to reach Jobs/Housing JHFIT Ratio of All Jobs/All Affordable All Housing County Place Fit Ratio 2.00) Housing All Low-Wage Rental Units Contra Costa Lafayette city 24.54 (1,274) 1.10 9,767 2,773 113 8,912 San Mateo Burlingame city 22.21 (2,547) 2.85 35,609 5,598 252 12,504 Alameda Pleasanton city 21.08 (4,760) 2.12 52,358 10,518 499 24,703 Contra Costa San Ramon city 16.04 (2,676) 1.66 41,067 6,113 381 24,764 San Mateo San Carlos city 15.64 (1,160) 1.14 13,143 2,659 170 11,501 Alameda Dublin city 14.93 (1,926) 1.11 16,421 4,448 298 14,786 Santa Clara Morgan Hill city 13.08 (1,546) 1.06 13,108 3,650 279 12,362 Marin Corte Madera town 12.97 (697) 1.60 6,436 1,647 127 4,015 Alameda Piedmont city 12.15 (234) 0.45 1,658 559 46 3,684 Santa Clara Los Altos city 12.12 (825) 0.86 9,264 1,976 163 10,808 Santa Clara Cupertino city 11.89 (2,068) 1.56 32,568 4,971 418 20,852 Marin Larkspur city 11.79 (514) 0.98 5,897 1,238 105 6,033 Santa Clara Los Gatos town 10.62 (1,573) 1.26 15,576 3,875 365 12,388 Contra Costa Danville town 10.49 (1,197) 0.68 10,373 2,958 282 15,220 Contra Costa Walnut Creek city 10.36 (3,729) 1.76 54,512 9,241 892 30,995 Sonoma Sonoma city 10.16 (1,241) 1.94 9,805 3,089 304 5,045 San Mateo Brisbane city 10.09 (263) 3.54 6,356 656 65 1,795 Santa Clara Milpitas city 9.85 (3,109) 2.18 41,817 7,801 792 19,224 San Mateo Millbrae city 9.50 (555) 0.59 4,956 1,406 148 8,416 Alameda Newark city 9.40 (1,640) 1.20 15,924 4,165 443 13,217 Alameda Fremont city 8.67 (5,659) 1.21 87,368 14,711 1,697 71,936 Source: Authors' Analysis of LEHD and ACS data 9 10 Tract/buffer level results Buffer definition 11 • Sidestep problems with arbitrary jurisdictional boundaries • Test different sizes using travel data • Highlights small geographies with poor fit Example buffer definition 12 13 14 15 Commute performance by Alex Karner Bay Area VMT 16 Data from activitybased microsimulation of daily travel patterns in 2010 Allows analysis of lowwage VMT attracted to each zone Bay Area VMT Low-wage worker 1 15 mile one-way commute Low-wage worker 2 12 mile one-way commute Census Tract 15 Total work VMT attracted = 49 Total workers = 3 Attracted work VMT per worker = 49/3 = 16.3 Low-wage worker 3 22 mile one-way commute Bay Area VMT 18 Mean VMT attracted by JH fit category JH fit category 0 – 2.2 2.2 – 4 >4 VMT attracted 7.10 7.61 10.4 Model results JH fit category Coefficient p-value 2.2 – 4 0.51 0.005 >4 3.31 < 0.001 N = 1592, R2 = 0.24 Bay Area VMT 19 Conclusions 20 New method to calculate and track changes in jobshousing fit over time using public data Highlights opportunities for affordable housing provision and economic development Clear implications for low-income commute performance Contact Chris Benner [email protected] http://regionalchange.ucdavis.edu http://mappingregionalchange.ucdavis.edu Acknowledgements Collaborators Bidita Tithi Alex Karner Jonathan London Catherine Garoupa-White Advocates Felicity Gasser Sam Tepperman-Gelfant Lisa Hershey
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