IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2006.03498.html
   My bibliography  Save this paper

Commuting Variability by Wage Groups in Baton Rouge 1990-2010

Author

Listed:
  • Yujie Hu
  • Fahui Wang
  • Chester Wilmot

Abstract

Residential segregation recently has shifted to more class or income-based in the United States, and neighborhoods are undergoing significant changes such as commuting patterns over time. To better understand the commuting inequality across neighborhoods of different income levels, this research analyzes commuting variability (in both distance and time) across wage groups as well as stability over time using the CTPP data 1990-2010 in Baton Rouge. In comparison to previous work, commuting distance is estimated more accurately by Monte Carlo simulation of individual trips to mitigate aggregation error and scale effect. The results based on neighborhoods mean wage rate indicate that commuting behaviors vary across areas of different wage rates and such variability is captured by a convex shape. Affluent neighborhoods tended to commute more but highest-wage neighborhoods retreated for less commuting. This trend remains relatively stable over time despite an overall transportation improvement in general. A complementary analysis based on the distribution of wage groups is conducted to gain more detailed insights and uncovers the lasting poor mobility (e.g., fewer location and transport options) of the lowest-wage workers in 1990-2010.

Suggested Citation

  • Yujie Hu & Fahui Wang & Chester Wilmot, 2020. "Commuting Variability by Wage Groups in Baton Rouge 1990-2010," Papers 2006.03498, arXiv.org.
  • Handle: RePEc:arx:papers:2006.03498
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2006.03498
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:dgr:uvatin:20090014 is not listed on IDEAS
    2. Jared Hewko & Karen E Smoyer-Tomic & M John Hodgson, 2002. "Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter?," Environment and Planning A, , vol. 34(7), pages 1185-1206, July.
    3. Michael A. Niedzielski & E. Eric Boschmann, 2014. "Travel Time and Distance as Relative Accessibility in the Journey to Work," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(6), pages 1156-1182, November.
    4. Hu, Yujie & Wang, Fahui, 2015. "Decomposing excess commuting: a Monte Carlo simulation approach," Journal of Transport Geography, Elsevier, vol. 44(C), pages 43-52.
    5. van Ommeren, Jos N. & Gutiérrez-i-Puigarnau, Eva, 2011. "Are workers with a long commute less productive? An empirical analysis of absenteeism," Regional Science and Urban Economics, Elsevier, vol. 41(1), pages 1-8, January.
    6. White, M.J., 1988. "Urban Commuting Journeys Are Not Wasteful," Papers 88-10, Michigan - Center for Research on Economic & Social Theory.
    7. Mark Horner, 2007. "A multi-scale analysis of urban form and commuting change in a small metropolitan area (1990–2000)," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 41(2), pages 315-332, June.
    8. Gordon, Peter & Kumar, Ajay & Richardson, Harry W., 1989. "The influence of metropolitan spatial structure on commuting time," Journal of Urban Economics, Elsevier, vol. 26(2), pages 138-151, September.
    9. David Levinson, 1998. "Accessibility and the Journey to Work," Working Papers 199802, University of Minnesota: Nexus Research Group.
    10. Kim, Chansung, 2008. "Commuting time stability: A test of a co-location hypothesis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 524-544, March.
    11. Gera, Surendra & Kuhn, Peter, 1980. "Job location and the journey-to-work: An empirical analysis," Socio-Economic Planning Sciences, Elsevier, vol. 14(2), pages 57-65.
    12. Prashker, Joseph & Shiftan, Yoram & Hershkovitch-Sarusi, Pazit, 2008. "Residential choice location, gender and the commute trip to work in Tel Aviv," Journal of Transport Geography, Elsevier, vol. 16(5), pages 332-341.
    13. Morton O’Kelly & Michael Niedzielski & Justin Gleeson, 2012. "Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender," Journal of Geographical Systems, Springer, vol. 14(4), pages 357-387, October.
    14. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    15. David Levinson & Ajay Kumar, 1994. "The Rational Locator: Why Travel Times Have Remained Stable," Working Papers 199402, University of Minnesota: Nexus Research Group.
    16. 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.
    17. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    18. White, Michelle J, 1988. "Urban Commuting Journeys Are Not "Wasteful."," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 1097-1110, October.
    19. Peter Gordon & Bumsoo Lee & Harry W. Richardson, 2004. "Travel Trends in U.S. Cities: Explaining the 2000 Census Commuting Results," Working Paper 8598, USC Lusk Center for Real Estate.
    20. Gera, Surendra, 1979. "Age and the journey-to-work: Some further empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 13(5), pages 285-287.
    21. Clark, William A. V. & Huang, Youqin & Withers, Suzanne, 2003. "Does commuting distance matter?: Commuting tolerance and residential change," Regional Science and Urban Economics, Elsevier, vol. 33(2), pages 199-221, March.
    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. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    2. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
    3. Qin, Ping & Wang, Lanlan, 2019. "Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing," Transport Policy, Elsevier, vol. 81(C), pages 331-339.
    4. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    5. Jiangping Zhou & Ying Long, 2016. "Losers and Pareto optimality in optimising commuting patterns," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2511-2529, September.
    6. Mizuki Kawabata & Qing Shen, 2007. "Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990-2000," Urban Studies, Urban Studies Journal Limited, vol. 44(9), pages 1759-1780, August.
    7. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    8. Korsu, Emre & Le Néchet, Florent, 2017. "Would fewer people drive to work in a city without excess commuting? Explorations in the Paris metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 259-274.
    9. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    10. Mark W. Horner, 2008. "`Optimal' Accessibility Landscapes? Development of a New Methodology for Simulating and Assessing Jobs—Housing Relationships in Urban Regions," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1583-1602, July.
    11. Jiangping Zhou & Enda Murphy & Jonathan Corcoran, 2020. "Integrating road carrying capacity and traffic congestion into the excess commuting framework: The case of Los Angeles," Environment and Planning B, , vol. 47(1), pages 119-137, January.
    12. Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
    13. Kim, Kyusik & Horner, Mark W., 2021. "Examining the impacts of the Great Recession on the commuting dynamics and jobs-housing balance of public and private sector workers," Journal of Transport Geography, Elsevier, vol. 90(C).
    14. Kanaroglou, Pavlos S. & Higgins, Christopher D. & Chowdhury, Tufayel A., 2015. "Excess commuting: a critical review and comparative analysis of concepts, indices, and policy implications," Journal of Transport Geography, Elsevier, vol. 44(C), pages 13-23.
    15. Surprenant-Legault, Julien & Patterson, Zachary & El-Geneidy, Ahmed M., 2013. "Commuting trade-offs and distance reduction in two-worker households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 12-28.
    16. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    17. Si-ming Li, 2010. "Evolving Residential and Employment Locations and Patterns of Commuting under Hyper Growth: The Case of Guangzhou, China," Urban Studies, Urban Studies Journal Limited, vol. 47(8), pages 1643-1661, July.
    18. Martin John Watts, 2009. "The Impact of Spatial Imbalance and Socioeconomic Characteristics on Average Distance Commuted in the Sydney Metropolitan Area," Urban Studies, Urban Studies Journal Limited, vol. 46(2), pages 317-339, February.
    19. Zhang, Hong & Xu, Shan & Liu, Xuan & Liu, Chengliang, 2021. "Near “real-time” estimation of excess commuting from open-source data: Evidence from China's megacities," Journal of Transport Geography, Elsevier, vol. 91(C).
    20. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega-Lapiedra, Raquel, 2024. "Differences in commuting between employee and self-employed workers: The case of Latin America," Journal of Transport Geography, Elsevier, vol. 114(C).

    More about this item

    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:arx:papers:2006.03498. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.