The extensive use of mobile phones has produced a massive amount of trajectory data and
provided the possibility to conduct travel behaviour analyses. In this study, a method of travel …

The travel behavior of passengers from the transportation hub within the city area is critical
for travel demand analysis, security monitoring, and supporting traffic facilities designing …

With the rapid development of urbanization in China, the problem of traffic congestion is
mainly due to the rapid increase in traffic demand. Compared with a variety of travel …

Understanding human mobility patterns is of great importance for a wide range of
applications from social networks to transportation planning. Toward this end, the spatial …

Exploring urban travelling hotspots has become a popular trend in geographic research in
recent years. Their identification involved the idea of spatial autocorrelation and spatial …

To improve the urban transport planning and safety management, an approach is proposed
to identify travel hotspots based on mobile phone data. The workflow including data …

Passengers generate travel behaviours on public transit, whose variations deserve an
exploration with an aim to guide daily-updated managements. In this study, we investigate …

This paper presents a novel method for mining the individual travel behavior regularity of
different public transport passengers through constructing travel behavior graph based …

Call detail record (CDR) data from mobile communication carriers offer an emerging and
promising source of information for analysis of traffic problems. To date, research on insights …

The rapid development of urban metropolises has attracted a growing number of immigrants
and travelers, increasing the burden on transportation systems. Previous research on urban …