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Exploring the sensitivity of jobs – housing statistics to imperfect travel time information

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  • Mark W Horner

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: Planning and Design, Pion Ltd, London, vol. 37(2), pages 367-375, March.
  • Handle: RePEc:pio:envirb:v:37:y:2010:i:2:p:367-375
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    Cited by:

    1. 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.
    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. 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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