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The working poor and what GIS reveals about the possibilities of public transit

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  • Rogalsky, Jennifer

Abstract

This study uses GIS to examine the constrained daily geographies of working poor women in order to assist transportation planners in understanding underserved populations and identifying gaps in transit service. Through interviews and travel diaries, I have uncovered constraints on daily travel in a sprawling, medium-size American city (Knoxville, Tennessee). This study undermines the too-optimistic assumptions generated by analyses of aggregate-level data, in that the transition from welfare to work will not be as smooth, nor as uniform, as aggregate data indicate. Based on this research, I recommend increased investment in car ownership and related assistance. Access to cars will not only increase working poor women’s daily mobilities, but also their job opportunities, overall earnings, and – ultimately – their successful and permanent transitions from welfare to sufficient and satisfying work.

Suggested Citation

  • Rogalsky, Jennifer, 2010. "The working poor and what GIS reveals about the possibilities of public transit," Journal of Transport Geography, Elsevier, vol. 18(2), pages 226-237.
    • Handle: RePEc:eee:jotrge:v:18:y:2010:i:2:p:226-237
    DOI: 10.1016/j.jtrangeo.2009.06.008
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    References listed on IDEAS

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    1. Janice Fanning Madden, 1981. "Why Women Work Closer to Home," Urban Studies, Urban Studies Journal Limited, vol. 18(2), pages 181-194, June.
    2. Blumenberg, Evelyn & Moga, Steven & Ong, Paul M., 1998. "Getting Welfare Recipients to Work: Transportation and Welfare Reform, Summary of Conference Proceedings," University of California Transportation Center, Working Papers qt23s208dz, University of California Transportation Center.
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    5. Ong, Paul & Houston, Douglas, 2002. "The Access Almanac: Travel Patterns Among Welfare Recipients," University of California Transportation Center, Working Papers qt66s0r9b9, University of California Transportation Center.
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    Cited by:

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    2. Smeds, Emilia & Robin, Enora & McArthur, Jenny, 2020. "Night-time mobilities and (in)justice in London: Constructing mobile subjects and the politics of difference in policy-making," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Bose, Pablo S., 2014. "Refugees in Vermont: mobility and acculturation in a new immigrant destination," Journal of Transport Geography, Elsevier, vol. 36(C), pages 151-159.
    4. Pyrialakou, V. Dimitra & Gkritza, Konstantina & Fricker, Jon D., 2016. "Accessibility, mobility, and realized travel behavior: Assessing transport disadvantage from a policy perspective," Journal of Transport Geography, Elsevier, vol. 51(C), pages 252-269.
    5. Delbosc, Alexa & Currie, Graham, 2011. "Exploring the relative influences of transport disadvantage and social exclusion on well-being," Transport Policy, Elsevier, vol. 18(4), pages 555-562, August.
    6. Andrew Schouten, 2022. "Residential relocations and changes in vehicle ownership," Transportation, Springer, vol. 49(1), pages 89-113, February.
    7. Lingqian Hu, 2017. "Job accessibility and employment outcomes: which income groups benefit the most?," Transportation, Springer, vol. 44(6), pages 1421-1443, November.
    8. Zhu, Pengyu & Tan, Xinying & Zhao, Songnian & Shi, Shuai & Wang, Mingshu, 2022. "Land use regulations, transit investment, and commuting preferences," Land Use Policy, Elsevier, vol. 122(C).
    9. Fraszczyk, Anna & Mulley, Corinne, 2014. "GIS as a tool for selection of sample areas in a travel behaviour survey," Journal of Transport Geography, Elsevier, vol. 34(C), pages 233-242.
    10. Liu, Chengliang & Duan, Dezhong, 2020. "Spatial inequality of bus transit dependence on urban streets and its relationships with socioeconomic intensities: A tale of two megacities in China," Journal of Transport Geography, Elsevier, vol. 86(C).
    11. van Dülmen, Christoph & Šimon, Martin & Klärner, Andreas, 2022. "Transport poverty meets car dependency: A GPS tracking study of socially disadvantaged groups in European rural peripheries," Journal of Transport Geography, Elsevier, vol. 101(C).
    12. Brusilovskiy, Eugene & Klein, Louis A. & Salzer, Mark S., 2016. "Using global positioning systems to study health-related mobility and participation," Social Science & Medicine, Elsevier, vol. 161(C), pages 134-142.
    13. Kamruzzaman, Md. & Hine, Julian, 2011. "Participation index: a measure to identify rural transport disadvantage?," Journal of Transport Geography, Elsevier, vol. 19(4), pages 882-899.
    14. Chandra, Shailesh & Naik, R. Thirumaleswara & Venkatesh, Manoj & Mudgal, Abhisek, 2021. "Accessibility evaluations of the proposed road user charge (RUC) program in California," Transport Policy, Elsevier, vol. 113(C), pages 12-26.
    15. Md. Kamruzzaman & Tan Yigitcanlar & Jay Yang & Mohd Afzan Mohamed, 2016. "Measures of Transport-Related Social Exclusion: A Critical Review of the Literature," Sustainability, MDPI, vol. 8(7), pages 1-30, July.
    16. Carleton, Phillip R. & Porter, J. David, 2018. "A comparative analysis of the challenges in measuring transit equity: definitions, interpretations, and limitations," Journal of Transport Geography, Elsevier, vol. 72(C), pages 64-75.

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