IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt2gv2h5vr.html

Struggling to Connect: Housing and Transportation Challenges of Low-Income Suburban Residents in the San Francisco Bay Area

Author

Listed:
  • Pan, Alexandra
  • Deakin, Elizabeth PhD
  • Shaheen, Susan PhD

Abstract

Suburban areas have lower density development than urban areas, which may make them less accessible for the growingpopulation of low- and moderate-income suburban residents, particularly those without a personal vehicle. This research examines factors that lead these households to move to suburban areas and identifies accessibility barriers they face. We use a mixed-methods approach with Public Use Microdata Sample (PUMS) data from the U.S. Census, online/in-person surveys (n=208), and interviews conducted in English and Spanish (n=25) with households in Contra Costa County with an income of less than $75,000. To understand key differences in housing and transportation choices between urban and suburban residents, these data were compared to survey and interview data from low-income Oakland residents from 2020-2021. We found that low- and moderate-income households choose to live in suburbs due to rising rents and otherrequirements (e.g., credit score, rental history) in urban areas, and a desire for home ownership and safer environment for children. Yet lack of tenant protections is leaving them vulnerable to rising rents in suburban areas. Transportation costs are higher in suburbs due to longer commutes and higher reliance on personal vehicles. Despite higher levels of carownership in the suburbs, households often go without a car due to maintenance issues or inability to make car payments. When faced with the lack of an automobile, suburban households have few quality transportation alternatives.

Suggested Citation

  • Pan, Alexandra & Deakin, Elizabeth PhD & Shaheen, Susan PhD, 2024. "Struggling to Connect: Housing and Transportation Challenges of Low-Income Suburban Residents in the San Francisco Bay Area," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2gv2h5vr, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt2gv2h5vr
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/2gv2h5vr.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nechyba, Thomas J. & Strauss, Robert P., 1998. "Community choice and local public services: A discrete choice approach," Regional Science and Urban Economics, Elsevier, vol. 28(1), pages 51-73, January.
    2. Robert Armstrong & Daniel Rodríguez, 2006. "An Evaluation of the Accessibility Benefits of Commuter Rail in Eastern Massachusetts using Spatial Hedonic Price Functions," Transportation, Springer, vol. 33(1), pages 21-43, January.
    3. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    4. Cui, Boer & Boisjoly, Geneviève & El-Geneidy, Ahmed & Levinson, David, 2019. "Accessibility and the journey to work through the lens of equity," Journal of Transport Geography, Elsevier, vol. 74(C), pages 269-277.
    5. Pan, Alexandra & Shaheen, Susan PhD, 2021. "Strategies to Overcome Transportation Barriers for Rent Burdened Oakland Residents," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt327773q9, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mulley, Corinne & Tsai, Chi-Hong (Patrick) & Ma, Liang, 2018. "Does residential property price benefit from light rail in Sydney?," Research in Transportation Economics, Elsevier, vol. 67(C), pages 3-10.
    2. Helen X. H. Bao & Doris Ka Chuen Mok, 2020. "A Link between East and West: How the Guangzhou-Shenzhen-Hong Kong Express Rail Link Affects Property Prices in Hong Kong," International Real Estate Review, Global Social Science Institute, vol. 23(3), pages 993-1021.
    3. Huang, Zhonghua & Du, Xuejun, 2021. "How does high-speed rail affect land value? Evidence from China," Land Use Policy, Elsevier, vol. 101(C).
    4. Mitra, Suman K. & Saphores, Jean-Daniel M., 2016. "The value of transportation accessibility in a least developed country city – The case of Rajshahi City, Bangladesh," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 184-200.
    5. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    6. Oliver Shyr & David Emanuel Andersson & Jamie Wang & Taiwei Huang & Olivia Liu, 2013. "Where Do Home Buyers Pay Most for Relative Transit Accessibility? Hong Kong, Taipei and Kaohsiung Compared," Urban Studies, Urban Studies Journal Limited, vol. 50(12), pages 2553-2568, September.
    7. Sebastian Brandt & Wolfgang Maennig, 2012. "The impact of rail access on condominium prices in Hamburg," Transportation, Springer, vol. 39(5), pages 997-1017, September.
    8. Yuxiang Wang & Xueli Liu & Feng Wang, 2018. "Economic Impact of the High-Speed Railway on Housing Prices in China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    9. James Jixian Wang & Jiang Xu & Jianfeng He, 2013. "Spatial Impacts of High-Speed Railways in China: A Total-Travel-Time Approach," Environment and Planning A, , vol. 45(9), pages 2261-2280, September.
    10. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi & Dominguez, Alberto, 2012. "Modelling transport and real-estate values interactions in urban systems," Journal of Transport Geography, Elsevier, vol. 24(C), pages 370-382.
    11. Junhong Im & Sung Hyo Hong, 2018. "Impact of a new subway line on housing values in Daegu, Korea: Distance from existing lines," Urban Studies, Urban Studies Journal Limited, vol. 55(15), pages 3318-3335, November.
    12. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    13. Ibrahim Ramadani & Pal Nikolli & Ferim Gashi, 2019. "Differentiation of Administrative Units of Albania by Length and Density of National Road Network," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 8, November.
    14. Somwrita Sarkar & Clémentine Cottineau-Mugadza & Levi J Wolf, 2024. "Spatial inequalities and cities: A review," Environment and Planning B, , vol. 51(7), pages 1391-1407, September.
    15. Saltz, Ira S. & Capener, Don, 2016. "60 Years Later and Still Going Strong: The Continued Relevance of the Tiebout Hypothesis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(01).
    16. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    17. Banzhaf, H. Spencer, 2002. "Quality Adjustment for Spatially-Delineated Public Goods: Theory and Application to Cost-of-Living Indices in Los Angeles," RFF Working Paper Series dp-02-10-, Resources for the Future.
    18. Zheng, Wei & Wei, Sheng, 2024. "A ‘node-place-network-city’ framework to examine HSR station area development dynamics: Station typologies and development strategies," Journal of Transport Geography, Elsevier, vol. 120(C).
    19. Marie Delaplace & Sylvie Bazin & christophe Beckerich & Corinne Blanquart, 2011. "High speed Rail service and local economic development, a review," ERSA conference papers ersa10p167, European Regional Science Association.
    20. Ioannides, Yannis M. & Zabel, Jeffrey E., 2008. "Interactions, neighborhood selection and housing demand," Journal of Urban Economics, Elsevier, vol. 63(1), pages 229-252, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt2gv2h5vr. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.