Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

During the unprecedented coronavirus disease 2019 (COVID-19) challenge, non-
pharmaceutical interventions became a widely adopted strategy to limit physical movements …

Modern public transit systems are often run with automated fare collection (AFC) systems in
combination with smart cards. These systems passively collect massive amounts of detailed …

Although automatically collected human travel records can accurately capture the time and
location of human movements, they do not directly explain the hidden semantic structures …

Smart card data (SCD) allow analyzing mobility at a fine level of detail, despite the
remaining challenges such as identifying trip purpose. The use of the SCD may improve the …

As a megacity, Beijing has experienced traffic congestion, unaffordable housing issues and
jobs-housing imbalance. Recent decades have seen policies and projects aiming at …

Abstract Intelligent Transportation Systems (ITS) applications in public transportation have
allowed for automated data collection, which is particularly useful for planning and …

Smart card transactions are known as a rich and continuous source of public transit data, but
they miss some important attributes about trips and passengers. One of these missing …

Estimation of people's home locations using location-based services data from smartphones
is a common task in human mobility assessment. However, commonly used home detection …

This paper aims to analyse the factors that influence the behaviour in relation to bus line shift
with the support of large-scale smart card datasets, focussing on a case study of the public …