New metrics and estimates of travel time reliability using large passive datasets
Shihan Lin,
Erika Spissu and
Cinzia Cirillo
Transportation Research Part A: Policy and Practice, 2026, vol. 209, issue C
Abstract:
This paper presents a comprehensive modeling framework and empirical analysis of the Value of Travel Time (VOT) and the Value of Travel Time Reliability (VOR) on Express Lanes. Using a large dataset from transponder-recorded trips, complemented by vehicle probe data, we explore the variability of travel time across different dimensions: day-to-day, intra-day, and intra-peak. Our study spans two distinct timeframes: pre-pandemic (January 2020 to mid-March 2020) and during the pandemic (mid-March 2020 to the end of May 2020), providing insights into travel behavior under both routine and unpredictable conditions.
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096585642600162X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:209:y:2026:i:c:s096585642600162x
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.tra.2026.105021
Access Statistics for this article
Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose
More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().