Using Bluetooth and WiFi to unravel real-world slow mode activity travel behaviour

Slow modes have an increasing share in urban mobility. The lack of accurate revealed data has so far hampered scientific research aimed at unravelling slow mode mobility.<br/><br/>Multiple types of data can be collected to gain better insight into slow mode transport and traffic operations, such as counts on specific locations (cross-sections),...

Trip chain complexity: a comparison among latent classes of daily mobility patterns

This paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster...