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Excess commuting and modal choice

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  • Murphy, Enda

Abstract

This paper reports results from research conducted to analyse the extent of excess commuting in Dublin, Ireland. The research differs from similar studies on excess commuting in two ways. First, a disaggregate modal choice analysis of excess commuting is undertaken for two time periods - 1991 and 2001. Second, sensitivity analysis is undertaken to explore the impact of changes in the density of the transport network for users of public and private transport. The results suggest that excess commuting is considerably greater for users of private transport implying the greater inefficiency of commuting associated with that mode. By way of contrast, capacity utilisation measures suggest the opposite indicating the difficulty of using these measures for policy-making. The results suggest also that the greater inter-mixing of jobs-housing functions has facilitated reductions in actual commuting costs as well as increasing the range of available trip possibilities over the study period. In terms of the sensitivity analysis, the results suggest that public transport users could achieve dramatic savings on their commute if the density of that network was increased considerably.

Suggested Citation

  • Murphy, Enda, 2009. "Excess commuting and modal choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 735-743, October.
  • Handle: RePEc:eee:transa:v:43:y:2009:i:8:p:735-743
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    References listed on IDEAS

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    Cited by:

    1. repec:gam:jsusta:v:8:y:2016:i:2:p:122:d:63105 is not listed on IDEAS
    2. Xiang Zhou & Xiaohong Chen & Tianran Zhang, 2016. "Impact of Megacity Jobs-Housing Spatial Mismatch on Commuting Behaviors: A Case Study on Central Districts of Shanghai, China," Sustainability, MDPI, Open Access Journal, vol. 8(2), pages 1-22, January.
    3. Driscoll, Áine & Lyons, Sean & Morgenroth, Edgar & Nolan, Anne, 2013. "Comparing the Determinants of Mode Choice across Travel Purposes," MPRA Paper 46034, University Library of Munich, Germany.
    4. Ari Tarigan & Stian Bayer & Christin Berg, 2011. "Suburbanisation of employment means less sustainable travel? - The effects of policy location on commuters' travel patterns in the Stavanger region, Norway," ERSA conference papers ersa10p1648, European Regional Science Association.
    5. 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.
    6. 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.
    7. Suzuki, Tsutomu & Lee, Sohee, 2012. "Jobs–housing imbalance, spatial correlation, and excess commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 322-336.

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