The recent interest in the privatization of major urban roads has opened up the debate on the tolling of such facilities. Central to the identification of optimal tolls is a knowledge of the amount of money individuals are willing to outlay to save travel time. This paper combines a utility maximization framework with stated response data to determine values of time savings in the presence of varying levels of toll for the full set of urban journey purposes. The empirical results provide a basis for establishing one benchmark for toll setting, in the context of substantial lengths of urban roads. There are no tolled urban roads in any major urban area throughout the world. Copyright 1990 by The Economic Society of Australia.
[1]
C. Pell,et al.
Some advances in model design developed for the practical assessment of road pricing in Hong Kong
,
1986
.
[2]
D. Hensher.
Sequential and Full Information Maximum Likelihood Estimation of a Nested Logit Model
,
1986
.
[3]
Joel M. Guttman,et al.
Avoiding specification errors in estimating the value of time
,
1975
.
[4]
I. Catling,et al.
Electronic road pricing in Hong Kong
,
1986
.
[5]
Jordan J. Louviere,et al.
Analyzing Decision Making
,
1988
.
[6]
Jordan J. Louviere,et al.
Analyzing Decision Making: Metric Conjoint Analysis
,
1988
.