In recent years, high-occupancy-toll lanes have emerged as an increasingly
popular alternative to high-occupancy-vehicle lanes for solving the problem
s of traffic congestion and air pollution. However, the existing literature
on the use of high-occupancy-toll lanes has attended much to their impacts
to the neglect of their determinants. An understanding of why people choos
e to use high-occupancy-toll lanes will shed light on policy decisions conc
erning high-occupancy-toll lane investments and developments. To fill this
void, this study examines the determinants of high-occupancy-toll lane use
with the first comprehensive survey data on the State Route 91 Express Lane
s in California and multivariate logistic regression models. The results sh
ow that controlling for other variables, household income, vehicle occupanc
y, commute trip, and age are important predictors of high-occupancy-toll la
ne use, but gender, trip length, trip frequency, and other household charac
teristics make no significant differences in high-occupancy-toll lane use.
Moreover, contrary to the conventional wisdom, work-to-home trips are found
to be more likely to use high-occupancy-toll lanes than home-to-work and o
ther trips. These findings provide some useful indications for the implemen
tation of high-occupancy-toll lanes and future research. (C) 2000 Elsevier
Science Ltd. All rights reserved.