This article presents the MOBIS dataset and underlying survey methods used in its
collection. The MOBIS study was a nation-wide randomised controlled trial (RCT) of …

Vehicle availability data is emerging as a potential data source for micro-mobility research
and applications. However, there is not yet research that systematically evaluates or …

Identifying travel modes from GPS tracks, as an essential technique to understand the travel
behavior of a population, has received widespread interest over the past decade. While …

The ubiquity of mobile phone signaling data (MPSD) allows us to study travel mode
identification (TMI) of a larger scale of population in cities than GPS data and travel survey …

Mobile device location data (MDLD) contains abundant travel behavior information to
support travel demand analysis. Compared to traditional travel surveys, MDLD has larger …

Artificial intelligence (AI) is revolutionizing many areas of our lives, leading a new era of
technological advancement. Particularly, the transportation sector would benefit from the …

This study presents attempts to impute modes from data collected via smartphones in Hanoi
(Vietnam), where the dominant mode of travel is the motorcycle. The inclusion of the …

Context-aware computing has become a certainty due to the widespread use of smartphone
devices equipped with sensors. A wide range of services, such as vehicular traffic …

Travel data is vital for understanding individual travel behaviors and estimating travel
demand. Compared with traditional travel surveys in which respondents were asked to recall …

Health implications of mobility during pregnancy entail a need to understand pregnant
women's activity spaces. We present ActMAP, a framework for quantifying multiple aspects …