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How Welfare Recipients Travel on Public Transit, and Their Accessibility to Employment Outside Large Urban Centers

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  • Blumenberg, Evelyn A.
  • Shiki, Kimiko

Abstract

Transportation Programs aiming at moving welfare participants into paid work have been based largely on studies showing a spatial mismatch between the concentration of welfare participants in central cities and rapidly expanding jobs in suburbs. Most spatial mismatch research, however, has been conducted in very large metropolitan areas. This paper examines the relevance of the spatial mismatch hypothesis to welfare to welfare recipients living in medium-sized cities and rural areas. Our findings suggest that the spatial mismatch hypothesis and policies based upon it may not be relevant to welfare recipients living in areas in which the urban structure does not fit the simple model of poor, central-city neighborhoods and distant, job-rich suburbs.

Suggested Citation

  • Blumenberg, Evelyn A. & Shiki, Kimiko, 2003. "How Welfare Recipients Travel on Public Transit, and Their Accessibility to Employment Outside Large Urban Centers," University of California Transportation Center, Working Papers qt04k2w2k7, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt04k2w2k7
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    Cited by:

    1. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.
    2. Billy Southern, 2023. "The impact of a rail network on socioeconomic inclusion: A ward-level analysis of Liverpool," Local Economy, London South Bank University, vol. 38(3), pages 199-225, May.
    3. Jaramillo, Ciro & Lizárraga, Carmen & Grindlay, Alejandro Luis, 2012. "Spatial disparity in transport social needs and public transport provision in Santiago de Cali (Colombia)," Journal of Transport Geography, Elsevier, vol. 24(C), pages 340-357.
    4. Lavery, T.A. & Páez, A. & Kanaroglou, P.S., 2013. "Driving out of choices: An investigation of transport modality in a university sample," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 37-46.
    5. Williams, Sarah & Qiu, Waishan & Al-awwad, Zeyad & Alfayez, Aljoharah, 2019. "Commuting for women in Saudi Arabia: Metro to driving - Options to support women employment," Journal of Transport Geography, Elsevier, vol. 77(C), pages 126-138.
    6. Morency, Catherine & Paez, Antonio & Roorda, Matthew J. & Mercado, Ruben & Farber, Steven, 2011. "Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments," Journal of Transport Geography, Elsevier, vol. 19(1), pages 39-50.
    7. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    8. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    9. Elisa Borowski & Alireza Ermagun & David Levinson, 2018. "Disparity of Access: Variations in Transit Service by Race, Ethnicity, Income, and Auto Availability," Working Papers 175, University of Minnesota: Nexus Research Group.
    10. Carmen Lizarraga & Ciro Jaramillo & Alejandro L. Grindlay, 2011. "Urban development and transport disadvantage: Methodology to evaluate social transport needs in Latin American cities," ERSA conference papers ersa11p936, European Regional Science Association.

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    Keywords

    Social and Behavioral Sciences;

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