Human travel behaviour has recently been one of the most popular topics in transport
studies. Therefore, the ability to obtain valuable sets of data has become one of the key …

Over the last decades, modeling of user mobility has become increasingly important in
mobile networking research and development. This has led to the adoption of modeling …

This study adds to the nascent but growing literature on the use of big data for pedestrian
route choice analysis. We explore behavioral preferences for various route attributes in …

Free-floating car-sharing schemes operate without fixed car-sharing stations, ahead
reservations or return-trip requirements. Providing fast and convenient motorization, they …

Big data analytics and artificial intelligence, paired with blockchain technology, the Internet
of Things, and other emerging technologies, are poised to revolutionise urban management …

Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

Free-floating car-sharing schemes operate without fixed car-sharing stations, ahead
reservations or return-trip requirements. Providing fast and convenient motorization, they …

While cities around the world are increasingly promoting streets and public spaces that
prioritize pedestrians over vehicles, significant data gaps have made pedestrian map** …

This paper aims to explore the covariates that affect the use of smartphones for trip planning
as well as the covariates of perceived impact of smartphone use on travel outcomes. Trip …

As the Mobility as a Service (MaaS) concept attracts more interest, there is increased
demand for understanding more about MaaS subscription plans. There is a gap in …