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The congestion multiplier: Variations in motorists’ valuations of travel time with traffic conditions
Authors:Mark Wardman  J Nicolás Ibáñez
Institution:a University of Leeds, Institute for Transport Studies, Woodhouse Lane, Leeds LS2 9JT, United Kingdom
b Institute for Prospective Technological Studies, DG Joint Research Centre, European Commission, Inca Garcilaso 3, 41092 Seville, Spain
Abstract:The value of travel time savings in part depends upon the disutility of the travel time that is saved and partly on the use to which the time saved is put. It has long been recognised that the disutility of the time spent travelling also depends upon a wide range of factors such as the journey length or the effort, comfort and safety associated with travelling.Hence we might expect the value of motorists’ travel time to vary with the traffic conditions as represented by the degree of congestion, in part to reflect the more difficult driving environment when there are more vehicles, but also a higher sense of frustration, similar to that associated with waiting time and contributing to its premium valuation.In this context, and despite the predominance of car travel in developed countries, the empirical evidence specifically relating to car values of travel time tends to fail to distinguish between different types of time according to the degree of congestion. Thus we are often left unclear as to precisely what type of time has been valued. Moreover, when a distinction is made, it tends to be into a simple dichotomy of congested and uncongested traffic.This paper provides new evidence on the variation in the valuation of motorists’ travel time savings across a finer gradation of types of time than has been hitherto attempted. This is obtained from the same Stated Choice exercise conducted in the United Kingdom and the United States. The paper also provides an extensive account of previous research into how congestion impacts on motorists’ values of time.
Keywords:Traffic congestion  Value of travel time  Motorists  Stated preference  Meta-analysis
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