01520048

Component

https://doi.org/10.3141/2412-11

http://scholar.google.com...nson&publication_year=2014

This paper presents the results of an investigation into the factors contributing to toll lane subscription choice by using data from the MnPASS high-occupancy toll lane system operated by the Minnesota Department of Transportation. The paper estimates a binomial logit model that predicts, on the basis of aggregate characteristics of the surrounding area, the likelihood of a household having a subscription to MnPASS systems. Variables in this model include demographic factors as well as an estimate of the incremental accessibility benefit provided by the MnPASS system. This benefit is estimated with the use of detailed accessibility calculations and represents the degree to which a location’s accessibility to jobs is improved if HOT lanes are available. The model achieves a p² value of .634, and analysis of the results suggests that incremental accessibility benefits play a statistically and practically significant role in determining how likely households are to hold a toll lane subscription.

01534453

14-3037

English

pp 93–99

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295031

Print

Figures (3) ; Maps; References (27) ; Tables (2)

Accessibility; Automated toll collection; Demographics; High occupancy toll lanes; Households; Logits

Minnesota Department of Transportation; MnPASS

Minnesota

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

TRIS, TRB, ATRI

Jan 27 2014 3:03PM

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