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A Spatially Disaggregated Approach to Commuting Efficiency

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  • Michael A. Niedzielski

    (Department of Geography, Ohio State University, 1036 Derby Hall, 154 N Oval Mall, Columbus, Ohio 43210, USA, niedzielski.4@osu.edu)

Abstract

During the past two decades, the concept of commuting efficiency has been used to evaluate the relationships between the journey to work and land use at the regional scale. The common approach of calculating regional statistics masks the intraurban variation of commuting efficiency. This paper develops an alternative approach to commuting efficiency and spatial structure assessments based on spatial disaggregation. The extension of existing regional measures by estimating zonal average trip lengths for workers leaving home and employers attracting workers facilitates analysis of intrametropolitan commuting efficiency. Spatially disaggregated metrics are formulated and applied to journey-to-work data for the cities of Warsaw, Poznan, Lodz and Krakow in Poland. At the regional scale, excess commuting varies from 48 per cent (Warsaw) to 67 per cent (Lodz). Intraurban variations in excess commuting indicate that estimates of commuting efficiency are impacted by the jobs-housing balance and are sensitive to locations of zones within the study area.

Suggested Citation

  • Michael A. Niedzielski, 2006. "A Spatially Disaggregated Approach to Commuting Efficiency," Urban Studies, Urban Studies Journal Limited, vol. 43(13), pages 2485-2502, December.
    • Handle: RePEc:sae:urbstu:v:43:y:2006:i:13:p:2485-2502
    DOI: 10.1080/00420980600970672
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    References listed on IDEAS

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    Cited by:

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    2. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    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. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    5. Zhou, Jiangping & Murphy, Enda, 2019. "Day-to-day variation in excess commuting: An exploratory study of Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 74(C), pages 223-232.
    6. 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.
    7. 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.
    8. Loo, Becky P.Y. & Chow, Alice S.Y., 2011. "Jobs-housing balance in an era of population decentralization: An analytical framework and a case study," Journal of Transport Geography, Elsevier, vol. 19(4), pages 552-562.
    9. Longxu Yan & De Wang & Shangwu Zhang & Dongcan Xie, 2019. "Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: a case study in Shanghai," Transportation, Springer, vol. 46(3), pages 777-792, June.
    10. Marcińczak, Szymon & Bartosiewicz, Bartosz, 2018. "Commuting patterns and urban form: Evidence from Poland," Journal of Transport Geography, Elsevier, vol. 70(C), pages 31-39.
    11. 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.
    12. 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.
    13. Rebeca Fontanilla Andong & Edsel Sajor, 2017. "Urban sprawl, public transport, and increasing CO2 emissions: the case of Metro Manila, Philippines," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(1), pages 99-123, February.
    14. 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.

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