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First published online January 1, 2013

Urban Core Transit Access to Low-Income Jobs

Abstract

In many areas in the United States, low-income jobs have followed patterns of suburbanization, with a resulting spatial mismatch between low-income workers residing in dense urban areas and low-income jobs located in suburban areas of the outlying urban periphery. This situation facilitates a need for auto ownership in core urban areas traditionally thought to be rich in transit supply and robust in transit accessibility. The resulting auto dependence is a substantial economic burden for low-income households and detrimental to those who have made residential location choices in an attempt to adopt a lifestyle that relies on public transit. This paper seeks to explain the various levels of households with low incomes and high rates of car ownership (LIHCO households) in the urban core by investigating their accessibility to low-income job locations. Two transit accessibility metrics geared toward low-income populations were derived and were applied. The first metric was based on the number of low-income jobs accessible by transit from the residential location; the second was based on late-night transit frequency at the residential location. These accessibility scores were then correlated with the magnitude of LIHCO households residing in each spatial unit of analysis. The results suggested a link between transit access to low-income jobs, late-night transit frequency, and the number of LIHCO households. It was concluded that improved transit access to low-income jobs and increased late-night transit frequency might reduce auto ownership in LIHCO households, with improved economic welfare as a result.

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References

1. Haas P. M., Makarewicz C., Benedict A., and Bernstein S. Estimating Transportation Costs by Characteristics of Neighborhood and Household. In Transportation Research Record: Journal of the Transportation Research Board, No. 2077, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 62–70.
2. Currie G., and Senbergs Z. Exploring Forced Car Ownership in Metropolitan Melbourne. Proc. Australasian Transport Research Forum, Melbourne, Victoria, Australia, 2007.
3. Currie G., and Delbosc A. Car Ownership and Low Income on the Urban Fringe: Benefit or Hindrance. Proc. Australasian Transport Research Forum, Auckland, New Zealand, 2009.
4. Currie G., Richardson T., Smyth P., Vella-Brodrick D., Hine J., Lucas K., Stanley J., Morris J., Kinnear R., and Stanley J. Investigating Links Between Transport Disadvantage, Social Exclusion and Well-Being in Melbourne—Updated Results. Research in Transportation Economics, Vol. 29, No. 1, 2010, pp. 287–295.
5. Bailey L. Public Transportation and Petroleum Savings in the U.S.: Reducing Dependence on Oil. American Public Transportation Association, Washington, D.C., 2007. http://www.apta.com/resources/reportsandpublications/Documents/apta_public_transportation_fuel_savings_final_010807.pdf. Accessed April 29, 2012.
6. Sanchez T. W. The Connection Between Public Transit and Employment: The Cases of Portland and Atlanta. Journal of the American Planning Association, Vol. 65, No. 3, 1999, pp. 284–296.
7. Giuliano G. Low Income, Public Transit, and Mobility. In Transportation Research Record: Journal of the Transportation Research Board, No. 1927, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 63–70.
8. Coveney J., and O'Dwyer L. A. Effects of Mobility and Location on Food Access. Health and Place, Vol. 15, No. 1, 2009, pp. 45–55.
9. Wallace R., Hughes-Cromwick P., Mull H., and Khasnabis H. S. Access to Health Care and Nonemergency Medical Transportation: Two Missing Links. In Transportation Research Record: Journal of the Transportation Research Board, No. 1924, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 76–84.
10. Sipe W. E., Wei M. C., Roth E. J., Chi G. W., Naidu S. K., and Samuels R. C. Barriers to Access: A Transportation Survey in an Urban Pediatric Practice. Proc. General Pediatrics and Preventive Pediatrics: Miscellaneous—Poster Session I, Pediatric Academic Society's Annual Meeting, San Francisco, Calif., 2004.
11. Lucas K. Providing Transport for Social Inclusion Within a Framework for Environmental Justice in the UK. Transportation Research Part A, Vol. 40, No. 10, Dec. 2006, pp. 801–809.
12. Gleeson B., and Randolph B. Social Disadvantage and Planning in the Sydney Context. Urban Policy and Research, Vol. 20, No. 1, 2002, pp. 101–107.
13. Duthie J., Ferguson E., Unnikrishnan A., and Waller S. T. Multinomial Network Models for Robust Transportation Systems. Research report SWUTC/09/167867-1. Southwest Region University Transportation Center, Texas A&M Transportation Institute, College Station, Oct. 2009.
14. Al Mamun S., and Lownes N. E. Measuring Service Gaps: Accessibility-Based Transit Need Index. In Transportation Research Record: Journal of the Transportation Research Board, No. 2217, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 153–161.
15. Lipman B. J. A Heavy Load: The Combined Housing and Transportation Burdens of Working Families. Center for Neighborhood Technology, Chicago, Ill., 2006. http://www.cnt.org/repository/heavy_load_10_06.pdf. Accessed: April 20, 2012.
16. Consumer Expenditures—2010. Bureau of Labor Statistics, Sept. 27, 2011. http://www.bls.gov/news.release/cesan.nr0.htm. Accessed April 20, 2012.
17. Short-Term Energy and Summer Fuels Outlook. U.S. Energy Information Administration, April 10, 2012. http://205.254.135.7/forecasts/steo/. Accessed April 20, 2012.
18. Your Driving Costs: How Much Are You Really Paying to Drive?, 2010 Edition. American Automobile Association, Washington, D.C., 2010.
19. Newman P., and Kenworthy J. Sustainability and Cities: Overcoming Automobile Dependence. Island Press, Washington, D.C., 2009.
20. Polzin S. E., Pendyala R. M., and Navari S. Development of Time-of-Day-Based Transit Accessibility Analysis Tool. In Transportation Research Record: Journal of the Transportation Research Board, No. 1799, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 35–41.
21. Rood T. The Local Index of Transit Availability: An Implementation Manual. Local Government Commission, Sacramento, Calif., 1998.
22. Kittelson and Associates, Inc., KFH Group, Inc., Parsons Brinckerhoff Quade and Douglass, Inc., and Hunter-Zaworski K. TCRP Report 100: Transit Capacity and Quality of Service Manual, 2nd ed. Transportation Research Board of the National Academies, Washington, D.C., 2003.
23. Census Transportation Planning Package Database. Bureau of Transportation Statistics, U.S. Department of Transportation. 2000. http://www.transtats.bts.gov/Tables.asp?DB_ID=630. Accessed: July 31, 2012.
24. American Community Survey. Bureau of the Census, 2009. http://www.census.gov/acs/www/data_documentation/2009_release/. Accessed July 31, 2012.
25. CT Transit Online Trip Planner. http://tripplan.cttransit.com/. Accessed July 31, 2012.

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Article first published online: January 1, 2013
Issue published: January 2013

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© 2013 National Academy of Sciences.
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Authors

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Nicholas Hart
Connecticut Transportation Institute, Unit 5202, 270 Middle Turnpike, Storrs, CT 06269-5202.
Nicholas E. Lownes
Department of Civil and Environmental Engineering, University of Connecticut, Unit 3037, Storrs, CT 06269-3037.

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