Estimating value of congestion and of reliability from observation of route choice behavior of car drivers

Prato, Carlo Giacomo, Rasmussen, Thomas Kjaer and Nielsen, Otto Anker (2014) Estimating value of congestion and of reliability from observation of route choice behavior of car drivers. Transportation Research Record, 2412 20-27. doi:10.3141/2412-03


Author Prato, Carlo Giacomo
Rasmussen, Thomas Kjaer
Nielsen, Otto Anker
Title Estimating value of congestion and of reliability from observation of route choice behavior of car drivers
Journal name Transportation Research Record   Check publisher's open access policy
ISSN 0361-1981
2169-4052
Publication date 2014
Year available 2014
Sub-type Article (original research)
DOI 10.3141/2412-03
Open Access Status Not Open Access
Volume 2412
Start page 20
End page 27
Total pages 8
Place of publication Washington, DC, United States
Publisher U.S. National Research Council * Transportation Research Board
Language eng
Abstract In recent years, a consensus has been reached about the relevance of calculating the value of congestion and the value of reliability for better understanding and therefore better prediction of travel behavior. The current study proposed a revealed preference approach that used a large amount of GPS data from probe vehicles to provide insight into actual behavior in choosing a route. Mixed path size correction logit models were estimated from samples of 5,759 observations in the peak period and 7,964 observations in the off-peak period, while a mean-variance model was specified to consider both congestion and reliability terms. Results illustrated that the value of time and the value of congestion were significantly higher in the peak period because of possible higher penalties for drivers being late and consequently possible higher time pressure. Moreover, results showed that the marginal rate of substitution between travel time reliability and total travel time did not vary across periods and traffic conditions, with the obvious caveat that the absolute values were significantly higher for the peak period. Last, results showed the immense potential of exploiting the growing availability of large amounts of data from cheap and enhanced technology to obtain estimates of the monetary value of different travel time components from the observation of actual behavior, with arguably potential significant impact on the realism of large-scale models.
Keyword Congestion
Reliability
Route Choice Behavior
Car Drivers
Travel behavior
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Social Science Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 14 Apr 2016, 08:51:56 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)