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Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010

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  • Yujie Hu
  • Fahui Wang

Abstract

Based on the 1990–2010 Census Transportation Planning Package data of Baton Rouge, Louisiana, this research analyzes the temporal trends of commuting patterns in both time and distance. In comparison to previous work, commuting length is calibrated more accurately by Monte Carlo–based simulation of individual journey-to-work trips to mitigate the zonal effect. First, average commute distance kept climbing between 1990 and 2010, whereas average commute time increased between 1990 and 2000 but then slightly dropped toward 2010. Second, urban land use remained a good predictor of commuting pattern over time (e.g., explaining up to 90 percent of mean commute distance and about 30 percent of mean commute time). Finally, the percentage of excess commuting increased significantly between 1990 and 2000 and stabilized afterward.

Suggested Citation

  • Yujie Hu & Fahui Wang, 2016. "Temporal Trends of Intraurban Commuting in Baton Rouge, 1990–2010," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 470-479, March.
    • Handle: RePEc:taf:raagxx:v:106:y:2016:i:2:p:470-479
    DOI: 10.1080/00045608.2015.1113117
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    Cited by:

    1. 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).
    2. Jing, Yue & Hu, Yujie, 2022. "The unequal commuting efficiency: A visual analytics approach," Journal of Transport Geography, Elsevier, vol. 100(C).
    3. Hu, Yujie & Sherlock, Phillip & Huang, Jing & Knopf, Herman T. & Hall, Jaclyn M., 2024. "Unveiling spatial mismatch in childcare supply and demand: An excess commuting analysis of home-to-childcare distance in subsidized families," Journal of Transport Geography, Elsevier, vol. 116(C).
    4. Shawn Berry, 2024. "An income-based approach to modeling commuting distance in the Toronto area," Papers 2401.11343, arXiv.org.
    5. Sung, Hyungun, 2023. "Multi-scale moderation impacts of jobs and housing balancing on sustainable commuting behavior in Seoul," Journal of Transport Geography, Elsevier, vol. 110(C).
    6. 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).
    7. 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).
    8. Ling, Changlong & Niu, Xinyi & Yang, Jiawen & Zhou, Jiangping & Yang, Tianren, 2024. "Unravelling heterogeneity and dynamics of commuting efficiency: Industry-level insights into evolving efficiency gaps based on a disaggregated excess-commuting framework," Journal of Transport Geography, Elsevier, vol. 115(C).
    9. Jie Huang & David Levinson & Jiaoe Wang & Haitao Jin, 2019. "Job-worker spatial dynamics in Beijing: Insights from Smart Card Data," Working Papers 2019-01, University of Minnesota: Nexus Research Group.

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