There is a significant body of research related to the valuation of reliability in transportation. Such work has tended to rely on the stated preference methodology, where respondents are asked to make trade-offs between the mean and standard deviation of travel time. The literature has suggested that a revealed preference (RP) methodology may provide an alternative means of estimating a value of reliability. In this article we show how emerging data sources reveal travelers' preferences and, in combination with traditional choice modeling methods, can be used to estimate a value of reliability. We illustrate this RP methodology using smart-card data from the multimodal public transport network of London, UK. We are able to estimate a useable “reliability ratio” for three of four public transport modes modeled, and account for an unexpected result based upon the data available.
Toward an automated methodology for the valuation of reliability
Journal of Intelligent Transportation Systems ; 20 , 4 ; 334-344
2016-07-03
11 pages
Article (Journal)
Electronic Resource
English
The valuation of reliability for personal travel
Online Contents | 2001
|The valuation of travel time reliability: does congestion matter?
Elsevier | 2016
|The valuation of travel time reliability: does congestion matter?
Online Contents | 2017
|