The valuation of travel time reliability: does congestion matter?

Yu Xiao, Nicolas Coulombel and André de Palma ()
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Yu Xiao: Department of Civil and Environmental Engineering [Tokyo] - TITECH - Tokyo Institute of Technology [Tokyo]

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Abstract: This paper addresses the valuation of travel time reliability in the presence of endogenous congestion and the role of scheduling preferences. The bottleneck model of road congestion is amended by considering stochastic travel times. We thereby take into account the influence of travel time variability on the congestion profile. The cost of travel time variability is the same with exogenous or endogenous congestion for two classes of preferences: linear marginal utility of time (MUT) at work and constant-exponential MUT. Therefore, cost-benefit analyses of travel time reliability improvements yield consistent results even if departure time adjustments are not accounted for. For α − β − γ preferences, departure time adjustments decrease congestion, which strongly mitigates the cost of travel time variability. Cost-benefit analyses need in this case to explicitly consider the departure time choice, to avoid being biased for the rush hour period (when congestion is strong). A method is proposed to correct this bias when necessary.

Keywords: Scheduling preferences; Bottleneck; Value of travel time variability; Reliability; Congestion (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (9)

Published in Transportation Research Part B: Methodological, 2017, 97, pp.113-141. ⟨10.1016/j.trb.2016.12.003⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01465956

DOI: 10.1016/j.trb.2016.12.003

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