The increasing pervasiveness of location-aware technologies is leading to the rise of large,
spatio-temporal datasets and to the opportunity of discovering usable knowledge about the …

In recent years, the development of information and communication technologies (ICTs) has
made it technically and economically feasible to collect huge amounts of spatiotemporal …

In recent years, data generated in the field of transportation has begun to explode. Individual
continuous tracking data, such as mobile phone data, IC smart card data, taxi GPS data, bus …

In recent years, many studies on urban mobility based on large data sets have been
published: most of them are based on crowdsourced GPS data or smart-card data. We …

In recent years, many studies on urban mobility based on large data sets have been
published: most of them are based on crowdsourced GPS data or smart-card data. The …

The creation of the General Transit Feed Specification (GTFS) in the mid-2000s provided a
new data format for cities to organize and share digital information on their public transport …

Despite the fact that freight transport has a huge impact on the economy and the
environment, Belgian datasets have always been scarce or restricted to very small a-spatial …

The rise of Web 2.0 and user-generated content has provided the research community with
novel sources of unconventional, unstructured data sources, which are widely referred to as …

This paper uses on-line railway travel requests from the iRail schedule-finder application for
assessing the suitability of that kind of big data for transportation planning and to examine …

The advances in technologies and the popularity of the smart city concepts have led to an
increasing amount of digital data available for urban research, which in turn has led to urban …