This paper explores the complexity and cognitive burden associated to stated choice
experiments. Complexity is analysed in terms of design dimensions such as the number of …

Developing countries are facing increasing challenges to make urban mobility sustainable
and to tackle the continuously growing air pollution and congestion caused by the rapid …

Travel demand models typically use mainly objective modal attributes as explanatory
variables. Nevertheless, it has been well known for many years that attitudes and …

Multiattribute‐revealed preference data are used to investigate heterogeneity in a sample of
kayakers for a panel of whitewater sites in Ireland. This article focuses on a comparison of …

Random coefficient logit (RCL) models containing random parameters are increasingly used
for modelling travel choices. Willingness-to-pay (WTP) measures, such as the value of travel …

We explore the issue of differentiating the valuation of travel time savings (VTTS) in transport
cost-benefit analysis, summarising and discussing theories forming the basis for arguments …

Stated choice models based on the random utility framework are becoming increasingly
popular in the applied economics literature. The need to account for respondents' …

We examine car driver's behaviour when choosing a parking place; the alternatives
available are free on-street parking, paid on-street parking and parking in an underground …

This work studies how the usage of shared mobility services could be influenced by latent
factors. An integrated choice and latent variable model is adopted to explore the effects of …

We derive values of travel time savings (VOT) for the Madrid–Barcelona corridor, linking the
two largest cities in Spain, based on the estimation of discrete choice models among the …