In this article we develop, implement and apply a Markov chain Monte Carlo (MCMC) Gibbs
sampler for Bayesian estimation of a hybrid choice model (HCM), using stated data on both …

The scope of this paper is to develop an advanced stated preferences (SP) survey
customized to capture teenagers' behaviors and to estimate models of hybrid mode choices …

In this paper we show that individual attitudes of road carriers and their latent preferences
toward specific freight service attributes do play a role in determining their mode choices …

In recent years we have seen an explosion of research seeking to understand the role that
rules and heuristics might play in improving the predictive capability of discrete choice …

Recent interest in the topic of random scale heterogeneity in discrete choice data has led to
the development of specialised tools such as the G-MNL model, as well as repeated claims …

Although various theories have been adopted to develop reliable pedestrian walking
models, a limited effort has been made to calibrate them rigorously based on individual …

Pedestrian crashes, making up a large proportion of road casualties, are more likely to occur
at signalized intersections in China. This paper aims to study the different pedestrian …

Linkages between activities, travel, and overall subjective well-being (SWB) are analyzed.
SWB is broadly defined as the evaluation of the cognitive and affective components of …

Cross-country skiing is important to many Norwegians as exercise and recreation during
winter. The most heavily used areas for cross-country skiing are the forests near the capital …

Freight choice models should focus on two objectives: quality of service and total logistics
costs, both of which are important to shippers. This chapter examines discrete choice …