Understanding tourist movements provides insights for destination planning, service design
and marketing. The key challenge is to develop a tool that can capture the value in the …

Predicting the next visited location of an individual is a key problem in human mobility
analysis, as it is required for the personalization and optimization of sustainable transport …

Using a modified three-level modelling method and a multidimensional three-week
household time-use and activity diary, this study investigates the interaction of the time …

The paper links the mobility biography approach with studies on intra-household
interactions between partners in travel. It does so by developing a multi-group path model–a …

Most evidence about commuting, and how it influences time use, domain satisfaction, and
life satisfaction, comes from the individual level; very few studies have investigated this issue …

Trip-based models and activity-based models represent two extreme ends of the spectrum of
travel demand models in data granularity requirement and ability to reflect the underlying …

Quantifying intra-person variability in travel choices is essential for the comprehension of
activity–travel behaviour. Due to a lack of empirical studies, there is limited understanding of …

This paper examines how different types of secondary activities, either offline or online,
interact with travellers' personal, travel, and spatial characteristics associated with the …

With the advent of activity-based modelling, transport planners' focus has shifted from
isolated trips to tours. Tours are series of interconnected trips that start and finish at home …

Recently, people are increasingly interested in understanding broader and longer-term
individual activity-travel behaviors across days or even weeks. However, the relationship of …