Many studies model the effects of the built environment on travel behaviour. Usually, results
are controlled for socio‐economic differences and sometimes socio‐psychological …

In light of the renewed attention for time geography in the transport modelling field in recent
years, this paper provides a timely state‐of‐the‐art review of the contributions of the time …

To mitigate the congestion caused by the ever increasing number of privately owned
automobiles, public transit is highly promoted by transportation agencies worldwide. A better …

For developing sustainable travel policies, it may be helpful to identify multimodal travelers,
that is, travelers who make use of more than one mode of transport within a given period of …

Human activity-travel behaviour (ATB) is a complex pattern of paths and activities in space
and time. Studies indicate that ATB is the construction of daily habitual, weekly, monthly and …

The potential of smart-card data for measuring the variability of urban public transit network
use is the focus of this paper. Data collected during 277 consecutive days of travel on a …

As a pinnacle of green transportation with transit attributes, bikesharing has become
particularly popular since the mid-2000s. Taking the opportunity of accessing to a large …

Regularity is an important property of individual travel behavior, and the ability to measure it
enables advances in behavior modeling, mobility prediction, and customer analytics. In this …

The main focus of travel behaviour research has been explaining differences in behaviour
between individuals (interpersonal variability) with less emphasis given to the variability of …

Policy change is characterised as being slow and incremental over long time periods. In
discussing a radical shift to a low carbon economy, many researchers identify a need for a …