01629493

Component

GPS data has become almost ubiquitous and data collection and processing technologies have advanced considerably. In transportation research, GPS traces are used, along with other data sources, to construct travel diaries, as they promise higher accuracy of collected data, combined with fewer fatigue effects. In this research, the present such a study, where a sample from Zurich, Switzerland, used GPS devices to monitor their daily trips for a week. A follow-up survey provided complementary information, including sociodemographic characteristics of the participants, as well as a large number of attitudinal parameters. Route choice models were estimated using this data set for car and public transport trips, along with a joint route and mode choice model, which also considered bike and walk stages. The model fit is reasonable for all models and in line with those obtained with traditional data-collection methods. The coefficient estimates have the appropriate signs and meaningful magnitudes. A number of transformations were performed on some of the variables, improving the model fit significantly, and reducing the number of variables. The authors discuss some of the difficulties associated with such data collection efforts, and point out the advantages that can come from follow-up studies, based on similar concepts.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.

01618707

17-03082

English

15p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Automobile travel; Global Positioning System; Mode choice; Public transit; Route choice

Zurich (Switzerland)

Highways; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2017 Paper #17-03082

TRIS, TRB, ATRI

Dec 8 2016 11:09AM