The amount of useful information that can be extracted from travel diaries is matched by the
difficulty of obtaining travel diaries in a modern era where the response rate to traditional …

The increased interest in the automation of travel diary collection, together with the ease of
access to new artificial intelligence methods led scientists to explore the prerequisites to the …

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 …

Stated preferences surveys are most commonly used to provide behavioral insights on
hypothetical travel scenarios such as new transportation services or attribute ranges beyond …

Using mobile applications for household travel surveys is becoming mainstream; however,
the practical benefits and challenges in the context of developing countries are still unclear …

The growing need of acquiring data that is useful for travel behaviour analysis led scientists
to pursue new ways of obtaining travel diaries from large groups of people. The most …

This chapter describes the lessons learned from designing, deploying and analysing the
results from a smartphone applications, sbNavi™, in measuring door-to-door, multi-modal …

The amount of useful information that can be extracted from travel diaries is matched by the
difficulty of obtaining travel diaries in a modern era where the response rate to traditional …

The pervasiveness of smartphones coupled with enhanced computing performance has
changed the way transportation surveys are conducted (1). Location-enabled devices has …

This paper presents a tool for integrated imputation and annotation of GPS tracking data,
Trace Annotator. The tool is designed to efficiently and effectively transform raw GPS data …