GPS data collection and analysis - The objective of this WP is to investigate a more efficient and accurate data collection method. A dataset from 200 respondents will be sampled from the Greater Copenhagen area. By using personal carry-on GPS data loggers in a combination with a web-based survey, a new unique data source is provided. The collected data will be analyzed and validated using the existing TU (Danish Travel Survey) data as a reference point. A hypothesis is that data from TU may underestimate people’s travel and bias travel time estimates. For example, the personal GPS tracking data will be coupled with GIS data and a qualitative investigation will enlighten about how respondents perceive the time spent on a journey and how this fits with the actual time used (GPS data). The use of GPS technology will further reveal people’s in-home and out-of-home activities in order to analyse their trade-off. From an international perspective, two elements are relevant to this WP: (i) the cooperation with Noam Shoval who is an expert in the field of GPS mobility tracking, and (ii) the integration within the EU COST Action TU0804 (TUD) Survey Harmonization with New Technologies Improvement (SHANTI).