Developing a passive GPS tracking system to study long-term travel behavior
This paper describes development and testing of a passive global positioning system (GPS) tracking smartphone application and corresponding data analysis methodology designed to increase the quality of travel behavior information collected in long-term travel surveys. The new approach is intended to replace the pencil-and-paper travel diaries and prompted recall methods that require more user involvement due to requirements for manual data entry and/or high battery usage. Reducing the burden placed on users enables researchers to collect data over longer periods, thus improving the quality of travel behavior research. To reduce battery use the smartphone-based application collects GPS data less frequently than other methods. Therefore, new algorithms were developed to identify trips and activities, transport mode, and even the specific vehicle used by the traveler. An important finding was the significant advantage of using users’ past data to improve mode detection results. The system was tested successfully in Zürich and Basel (Switzerland).
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Supplemental Notes:
- © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Marra, Alessio D
- Becker, Henrik
- 0000-0003-1584-4065
- Axhausen, Kay W
- Becker, Henrik
- 0000-0002-0376-4802
- Publication Date: 2019-7
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 348-368
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 104
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Global Positioning System; Public transit; Smartphones; Tracking systems; Travel behavior; Travel diaries
- Geographic Terms: Basel (Switzerland); Zurich (Switzerland)
- Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01707600
- Record Type: Publication
- Files: TRIS
- Created Date: Jun 6 2019 9:30AM