Automated fare collection (AFC) systems have been widely implemented around the world.
Their main goal is to gather revenue in a more efficient way. In addition to this purpose, they …

ABSTRACT A classification of the behavior of smart card users is important in the field of
public transit demand analysis. It provides an understanding of people's sequence of …

Public transport travel-time variability (PTTV) is essential for understanding the
deteriorations in the reliability of travel time, optimizing transit schedules, and route choices …

New smart card datasets are providing new opportunities to explore travel behaviour in
much greater depth than anything accomplished hitherto. Part of this quest involves …

In many cities, worldwide public transit companies use smart card system to manage fare
collection. Analysis of this acquisitive information provides a comprehensive insight of user's …

The emergence of urban big data is transforming the existing research paradigms in urban
studies. New theories and analytical methods are required to meet the methodological …

Over the last few years, cities have made available large volumes of smart card data that
shed light on the urban dynamics of transit users. This research uses metro card data from …

Research has shown that the growing holiday travel demand in modern society has a
significant influence on daily travel patterns. However, few studies have focused on the …

Personal mobility data can nowadays be easily collected by personal mobile phones and
used for analytical modeling. To assist in such an analysis, a variety of computational …

The function of a metro station area is vital for city planners to consider when establishing a
context-aware Transit-Oriented Development policy around the station area. However, the …