In public transport, smartcards are primarily used for automatic fare collection purpose,
which in turn generate massive data. During the last two decades, a tremendous amount of …

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

The first and last mile (FLM) of transit trips are associated with physical activity, often placing
a burden on transit users. FLMs that are short, safe, and convenient to walk could facilitate …

We examined the effect of social distancing on changes in visits to urban hotspot points of
interest. In a pandemic situation, urban hotspots could be potential superspreader areas as …

Many travel surveys used in transportation planning still collect information over a single
weekday while mobility and activity patterns fluctuate from day to day. However, the …

Spatiotemporal analysis of passenger mobility patterns provides valuable information
regarding the travel behaviour of passengers at different spatial and temporal scales …

Time-use surveys provide useful data for travel analyses. However, the survey on time use
and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan …

Interpersonal and intrapersonal variabilities are two important perspectives to understand
daily travel behaviors, while only a small number of studies incorporate them for …

This paper presents a data fusion method to infer the origin and destination zones of transit
trips from smart card data. The fusion framework has disaggregate mixed multinomial logit …

The emergence of smart cities is set to transform transportation systems by leveraging real‐
time traffic data streams to monitor urban dynamics. This complements traditional …