Human travel behaviour has recently been one of the most popular topics in transport
studies. Therefore, the ability to obtain valuable sets of data has become one of the key …

Collection of travel data is a key task of transportation modeling. Data collection is currently
based on costly and time-intensive questionnaires, and can thus only provide limited cross …

Future Mobility Sensing (FMS) is an innovative smartphone-based travel survey that was
field-tested in 2012 and 2013, together with the Household Interview Travel Survey (HITS) …

Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

The increasing demand for advanced modelling methods, which can reflect complex travel
activities of individuals, requires enhanced travel data collection methods. The introduction …

Currently, there is a great need for new methods to collect travel data. Traditional methods
have considerable drawbacks and, at the same time, the models used to analyse the …

This paper examines the impacts of smartphone application usage on mobility choice
dimensions, such as individuals' visits to new places, individuals' trips planned in groups …

To support increasingly complex planning activities, many agencies are facing the
challenges of obtaining highly nuanced travel behavior data while managing shrinking …

Purpose—In this chapter, we will review several alternative methods of collecting data from
mobile phones for human mobility analysis. We propose considering cellular network …

This paper outlines an innovative approach to the evaluation of a self-administered
smartphone-based survey for the collection of travel behaviour data. For this approach, a …