The rapid advancement of information and communication technology has brought a
revolution in the domain of public transport (PT) planning alongside other areas of transport …

Although highly valuable for a variety of applications, urban mobility data are rarely made
openly available, as it contains sensitive personal information. Synthetic data aims to solve …

The accuracy of a transport demand model's predictions is inherently limited by the quality of
the underlying data. This issue has been highlighted by the decline in response rates for …

Incorporating mobile phone data, known for its high spatial and temporal resolution and
extensive population coverage, into Activity-Based Models (ABM) for understanding …

This work introduces a new concept of functional areas called Mobility Functional Areas
(MFAs), ie, the geographic zones highly interconnected according to the analysis of mobile …

The prevalence of mobile technology has been significant in transport research. Despite a
growing application spectrum of smartphone uses and interests in mobility inference, little …

This review explores the potential of digital twin systems to provide a more holistic
representation of travel behavior and support transportation planning and policymaking. The …

The dynamics of urban transportation can be captured using activity-based models, which
rely on travel demand data to get a comprehensive understanding of urban mobility. This …

The potential of passively generated big data sources in transport modelling is well‐
recognised. However, assessing their accuracy and suitability for policymaking remains …

In this paper we develop two methods for the use of mobile phone data to support the
estimation of long-distance mode choice models. Both methods are based on logit …