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Exploring the Sensitivity of Jobs — Housing Statistics to Imperfect Travel Time Information

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  • Mark W Horner

    (Department of Geography, Florida State University, 323 Bellamy Building, Tallahassee, FL 32306-2190, USA)

Abstract

Increasingly, researchers have discussed ways of utilizing excess commuting/jobs — housing methodologies in policy analyses. One potential barrier involves the uncertainty associated with using network-based travel time estimates in the commute models. This paper examines the extent to which various excess commuting/jobs — housing statistics are sensitive to changes in their input transportation costs. A series of computational experiments are run using spatial data from a smaller metropolitan area. Results reveal the variability in the commuting estimates given assumptions about likely travel time variability.

Suggested Citation

  • Mark W Horner, 2010. "Exploring the Sensitivity of Jobs — Housing Statistics to Imperfect Travel Time Information," Environment and Planning B, , vol. 37(2), pages 367-375, April.
    • Handle: RePEc:sae:envirb:v:37:y:2010:i:2:p:367-375
    DOI: 10.1068/b35094
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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