ABSTRACT
This chapter presents a range of recently collected travel-data sets. These data sets span the range from rural villages and small towns to metropolitan environments. Statistics define the similarities and especially the differences between cross-sectional or regression data, time-series data and longitudinal data. Researchers have long been interested in acquiring multiday travel data which capture even seasonalities in travel demand. One obvious technical possibility is the collection of travel-behaviour data by Global Positioning System (GPS) devices in connection with Geographical Information System (GIS) mapping. The use of passive-monitoring GPS vehicle data represents an innovative approach to broadening the analytical base in activity-based analysis. As GPS data-collection methodology differs greatly from ordinary travel-diary approaches, vehicle-movement information needs to be cleaned and enriched to obtain better comprehensiveness and quality. The GPS data were pre-processed to remove vehicle activities that did not contribute to travel demand. Vehicle engines are often started, stopped and then restarted before a real trip begins.
