IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt7424635r.html
   My bibliography  Save this paper

The Changing Commute: A Case Study of the Jobs/Housing Relationship over Time

Author

Listed:
  • Wachs, Martin
  • Taylor, Brian D.
  • Levine, Ned
  • Ong, Paul

Abstract

Commuting patterns between home and work were studied among 30,000 employees of Kaiser Permanente, a major health care provider in Southern California. The study tracked the differences between home and work location among employees over six years by analyzing employee records and responses to a survey of over 1,500 of the works. It was found that work trip lengths had in general not grown over the six year period. Growth of the work force had contributed more to the growth in local traffic congestion than had a lengthening of the work trip over time. The automobile remains the dominant mode of travel between home and work for these employees, and choices of residential location were found to be based upon many factors in addition to the home-work separation, such as quality of neighborhood and schools and perceived safety.

Suggested Citation

  • Wachs, Martin & Taylor, Brian D. & Levine, Ned & Ong, Paul, 1993. "The Changing Commute: A Case Study of the Jobs/Housing Relationship over Time," University of California Transportation Center, Working Papers qt7424635r, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt7424635r
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7424635r.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    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. Fei Li & Christopher Kajetan Wyczalkowski, 2023. "How buses alleviate unemployment and poverty: Lessons from a natural experiment in Clayton County, GA," Urban Studies, Urban Studies Journal Limited, vol. 60(13), pages 2632-2650, October.
    2. William A. V. Clark & Marianne Kuijpers-Linde, 1994. "Commuting in Restructuring Urban Regions," Urban Studies, Urban Studies Journal Limited, vol. 31(3), pages 465-483, April.
    3. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    4. Zhong Zheng & Suhong Zhou & Xingdong Deng, 2022. "The spatially heterogeneous and double-edged effect of the built environment on commuting distance: Home-based and work-based perspectives," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-24, March.
    5. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    6. Hans R.A. Koster & Jan Rouwendal, 2012. "The Impact Of Mixed Land Use On Residential Property Values," Journal of Regional Science, Wiley Blackwell, vol. 52(5), pages 733-761, December.
    7. Bocarejo S., Juan Pablo & Oviedo H., Daniel Ricardo, 2012. "Transport accessibility and social inequities: a tool for identification of mobility needs and evaluation of transport investments," Journal of Transport Geography, Elsevier, vol. 24(C), pages 142-154.
    8. Cervero, Robert, 2005. "Accessible Cities and Regions: A Framework for Sustainable Transport and Urbanism in the 21st Century," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt27g2q0cx, Institute of Transportation Studies, UC Berkeley.
    9. Andrew R. Watkins, 2016. "Commuting Flows and Labour Market Structure: Modelling Journey to Work Behaviour in an Urban Environment," Growth and Change, Wiley Blackwell, vol. 47(4), pages 612-630, December.
    10. Jing Tao & Ying Wang & Rong Wang & Chuanmin Mi, 2019. "Do Compactness and Poly-Centricity Mitigate PM 10 Emissions? Evidence from Yangtze River Delta Area," IJERPH, MDPI, vol. 16(21), pages 1-18, October.
    11. Morrison, Geoffrey M. & Lin Lawell, C.-Y. Cynthia, 2016. "Does employment growth increase travel time to work?: An empirical analysis using military troop movements," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 180-197.
    12. Zhong-Ren Peng, 1997. "The Jobs-Housing Balance and Urban Commuting," Urban Studies, Urban Studies Journal Limited, vol. 34(8), pages 1215-1235, July.
    13. Xingang Zhou & Anthony GO Yeh & Weifeng Li & Yang Yue, 2018. "A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data," Environment and Planning B, , vol. 45(3), pages 434-451, May.
    14. Zheng, Zhong & Zhou, Suhong & Deng, Xingdong, 2021. "Exploring both home-based and work-based jobs-housing balance by distance decay effect," Journal of Transport Geography, Elsevier, vol. 93(C).
    15. Ali Cheshmehzangi & Ayotunde Dawodu & Wangyang Song & Yuzhu Shi & Yuwei Wang, 2020. "An Introduction to Neighborhood Sustainability Assessment Tool (NSAT) Study for China from Comprehensive Analysis of Eight Asian Tools," Sustainability, MDPI, vol. 12(6), pages 1-29, March.
    16. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    17. Silva, Mafalda C. & Horta, Isabel M. & Leal, Vítor & Oliveira, Vítor, 2017. "A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand," Applied Energy, Elsevier, vol. 202(C), pages 386-398.
    18. Nichols, Brice G. & Kockelman, Kara M., 2014. "Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure," Energy Policy, Elsevier, vol. 68(C), pages 232-242.
    19. Teng Zhong & Guonian Lü & Xiuming Zhong & Haoming Tang & Yu Ye, 2020. "Measuring Human-Scale Living Convenience through Multi-Sourced Urban Data and a Geodesign Approach: Buildings as Analytical Units," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
    20. Albert Saiz & Luyao Wang, 2023. "Physical geography and traffic delays: Evidence from a major coastal city," Environment and Planning B, , vol. 50(1), pages 218-243, September.

    More about this item

    Keywords

    Social and Behavioral Sciences;

    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:uctcwp:qt7424635r. 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.