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MAKING DO: How Working Families in Seven U.S. Metropolitan Areas Trade Off Housing Costs and Commuting Times

Author

Listed:
  • Cervero, Robert
  • Chapple, Karen
  • Landis, John
  • Wachs, Martin
  • Duncan, Michael
  • Scholl, Patricia Lynn
  • Blumenberg, Evelyn

Abstract

This report explores how working families in seven major metropolitan regions (Atlanta, Chicago, Dallas–Ft. Worth, Los Angeles, New York City, the San Francisco Bay Area, and Baltimore–Washington) tradeoff housing and commuting costs, and how their tradeoffs differ from those of wealthier families. It is organized into five sections. Beyond this brief introduction, the report consists of five parts. Section 2 introduces the PUMS (Public Use Microdata Sample) database, upon which this analysis is based, and presents the procedures used to identify the seven case study metropolitan regions. Section 3 presents a series of descriptive statistics comparing the housing and transportation choices confronting different types of working families in each of the seven case study metropolitan regions. Section 4 develops a series of statistical “bid- rent” models to contrast the housing and transportation tradeoffs made by working families versus upper-income families. Section 5 looks at the tradeoff issue through the lens of residential location to examine the types of neighborhoods favored by working families. Section 6 summarizes the research results and explores their implications for public policy.

Suggested Citation

  • Cervero, Robert & Chapple, Karen & Landis, John & Wachs, Martin & Duncan, Michael & Scholl, Patricia Lynn & Blumenberg, Evelyn, 2006. "MAKING DO: How Working Families in Seven U.S. Metropolitan Areas Trade Off Housing Costs and Commuting Times," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9wf8x6p5, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt9wf8x6p5
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    Citations

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    Cited by:

    1. Jyothi Chava & Peter Newman, 2016. "Stakeholder Deliberation on Developing Affordable Housing Strategies: Towards Inclusive and Sustainable Transit-Oriented Developments," Sustainability, MDPI, vol. 8(10), pages 1-21, October.
    2. Chen, Na & Akar, Gulsah, 2016. "Effects of neighborhood types & socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 54(C), pages 112-121.
    3. Shawn Berry, 2024. "An income-based approach to modeling commuting distance in the Toronto area," Papers 2401.11343, arXiv.org.
    4. Rémi Lemoy & Charles Raux & Pablo Jensen, 2013. "Where in cities do "rich" and "poor" people live? The urban economics model revisited," Working Papers hal-00805116, HAL.
    5. Yujie Hu & Fahui Wang & Chester Wilmot, 2020. "Commuting Variability by Wage Groups in Baton Rouge 1990-2010," Papers 2006.03498, arXiv.org.
    6. He, Mingyi & Bogomolov, Yuri & Khulbe, Devashish & Sobolevsky, Stanislav, 2023. "Distance deterrence comparison in urban commute among different socioeconomic groups: A normalized linear piece-wise gravity model," Journal of Transport Geography, Elsevier, vol. 113(C).

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    Keywords

    Economics; Mobility; Planning; Policy;
    All these keywords.

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