The discrete choice modeling and decisions-tree technique are used to understand the
travel behavior of people in Budapest. The discrete choice modeling is applied to develop …

People usually travel with different preferences to reach the location of their leisure activities,
where transport mode is a decisive factor. Previous studies focus on developing discrete …

The currently available transport modeling tools are used to evaluate the effects of behavior
change. The aim of this study is to analyze the interaction between the transport mode …

The choice of transport is a user decision defined by transport attributes and user
characteristics. In a sprawl area in an emerging economy, the determining factors can be …

Travel mode selection is a crucial aspect of traffic distribution and forecasting in a
comprehensive transportation system, which has significant implications for resource …

Understanding choice behavior regarding travel mode is essential in forecasting travel
demand. Machine learning (ML) approaches have been proposed to model mode choice …

Although there is considerable number of studies on urban travel mode choice, there are still
two gaps: we have limited understanding of perceived and attitudinal barriers of sustainable …

With growing city tourism, there is an increasing need for urban travel demand models to
consider traffic generated by visitors. Existing research has concentrated on socio …

The aim of this paper is to contribute to describe the simultaneous choice of travel mode and
departure time by making use of a cross-nested logit structure that allows for the joint …

In transport economics, modeling modal choice is a fundamental key for policy makers trying
to improve the sustainability of transportation systems. However, existing empirical literature …