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Unravelling heterogeneity and dynamics of commuting efficiency: Industry-level insights into evolving efficiency gaps based on a disaggregated excess-commuting framework

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  • Ling, Changlong
  • Niu, Xinyi
  • Yang, Jiawen
  • Zhou, Jiangping
  • Yang, Tianren

Abstract

Commuting efficiency, a measure of how effectively workers utilise their time and resources for journeys to work, is generally assessed through an excess commuting framework. This approach quantifies the disparity between the theoretical minimum and actual commutes. However, conventional methods often make oversimplified assumptions of industry homogeneity and temporal invariance, neglecting the intricate dynamics of commuting efficiency. To bridge the gap, this study scrutinises cross-year commuting efficiency across 13 industry sectors by developing a disaggregated excess-commuting framework. An analysis of substantial data encompassing 11 million commuters in Shenzhen over the period from 2017 to 2021 reveals that: (1) secondary sectors and industries requiring relatively lower skills demonstrate higher commuting efficiency compared to their tertiary, high-skilled counterparts; (2) increases in industry-related minimum and random commuting significantly contribute to the growth of commuting distances, whereas local self-contained employment helps mitigate this effect; and (3) addressing jobs-housing imbalance in absolute ratio may not necessarily reduce commuting distances for all industry sectors. Urban policy development should be specifically tailored to the unique evolution of commuting efficiency performance within individual industries, rather than adopting a generic one-size-fits-all approach.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jotrge:v:115:y:2024:i:c:s0966692324000292
    DOI: 10.1016/j.jtrangeo.2024.103820
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    as
    1. Yujie Hu, 2022. "The unequal commute: Comparing commuting patterns across income and racial worker subgroups," Environment and Planning A, , vol. 54(3), pages 437-440, May.
    2. Kang‐Rae Ma & David Banister, 2006. "Excess Commuting: A Critical Review," Transport Reviews, Taylor & Francis Journals, vol. 26(6), pages 749-767, May.
    3. 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.
    4. Jie Huang & David Levinson & Jiaoe Wang & Zi-jia Wang, 2018. "Tracking job and housing dynamics with smartcard data," Working Papers 2018-01, University of Minnesota: Nexus Research Group.
    5. 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).
    6. Li, Tiebei & Dodson, Jago & Goldie, Xavier, 2021. "Urban structure, commuting burden, and employment status of labour forces in an Australian city," Journal of Transport Geography, Elsevier, vol. 93(C).
    7. Tianren Yang, 2020. "Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework," Environment and Planning B, , vol. 47(8), pages 1440-1455, October.
    8. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.
    14. repec:nas:journl:v:115:y:2018:p:12710-12715 is not listed on IDEAS
    15. Yang Zhang & Yongping Zhang & Jiangping Zhou, 2021. "A novel excess commuting framework: Considering commuting efficiency and equity simultaneously," Environment and Planning B, , vol. 48(1), pages 151-168, January.
    16. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang & Li, Weifeng, 2022. "Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 119(C).
    17. Tong, Zhaomin & An, Rui & Zhang, Ziyi & Liu, Yaolin & Luo, Minghai, 2022. "Exploring non-linear and spatially non-stationary relationships between commuting burden and built environment correlates," Journal of Transport Geography, Elsevier, vol. 104(C).
    18. Zhao, Pengjun & Cao, Yushu, 2020. "Commuting inequity and its determinants in Shanghai: New findings from big-data analytics," Transport Policy, Elsevier, vol. 92(C), pages 20-37.
    19. Genevieve Giuliano & Christian Redfearn & Ajay Agarwal & Chen Li & Duan Zhuang, 2007. "Employment Concentrations in Los Angeles, 1980–2000," Environment and Planning A, , vol. 39(12), pages 2935-2957, December.
    20. Haozhi Pan & Tianren Yang & Ying Jin & Sandy Dall’Erba & Geoffrey Hewings, 2021. "Understanding heterogeneous spatial production externalities as a missing link between land-use planning and urban economic futures," Regional Studies, Taylor & Francis Journals, vol. 55(1), pages 90-100, January.
    21. 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.
    22. 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.
    23. Morton E O'Kelly & Wook Lee, 2005. "Disaggregate Journey-to-Work Data: Implications for Excess Commuting and Jobs–Housing Balance," Environment and Planning A, , vol. 37(12), pages 2233-2252, December.
    24. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    25. Pan, Yu & He, Sylvia Y., 2022. "Analyzing COVID-19’s impact on the travel mobility of various social groups in China’s Greater Bay Area via mobile phone big data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 263-281.
    26. Yue, Liying & O'Kelly, Morton E., 2023. "Variations in excess commuting by educational and occupational worker subgroups: A case study of Shanghai," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    27. 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).
    28. David Morris & Enrico Vanino & Carlo Corradini, 2020. "Effect of regional skill gaps and skill shortages on firm productivity," Environment and Planning A, , vol. 52(5), pages 933-952, August.
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