JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Testing the Reliability of a Smartphone-Based Travel Survey: An Experiment in Seoul
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Testing the Reliability of a Smartphone-Based Travel Survey: An Experiment in Seoul
Lee, Jae Seung; Zegras, P. Christopher; Zhao, Fang; Kim, Daehee; Kang, Junhee;
  PDF(new window)
 Abstract
With programmable applications that utilize sensors, such as global positioning systems and accelerometers, smartphones provide an unprecedented opportunity to collect behavioral data in an unobtrusive and cost-effective manner. This paper assesses the relative accuracy and reliability of the Future Mobility Sensing (FMS), a smartphone-based prompted-recall travel survey. We compared the data extracted from FMS with the data collected from the Korea Passenger Trip Survey (PTS), a traditional self-reported, paper-based travel survey. In total, 46 undergraduate students completed the PTS for seven consecutive days, while also carrying their smartphones with the activated FMS applications for the same time span. After completing the PTS, the participants validated their FMS data on the web-based prompted recall surveys. We then matched the validated FMS data with the PTS-based records. The FMS turns out to be superior in detecting short trips, which are usually under-reported in self-reported travel surveys. The reported PTS travel times are longer than for the FMS, suggesting that participants tend to overestimate their travel time in the PTS. This study contributes to the ongoing development of smartphone-based travel behavior data collecting methods.
 Keywords
Travel Survey Method;Smartphone;Number of Trips;Travel Time;GPS;
 Language
English
 Cited by
 References
1.
Chen J. and Bierlaire M.(2015), "Probabilistic multimodal map matching with rich smartphone data," Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, vol. 19, no. 2, pp.134-148. crossref(new window)

2.
Stopher P., FitzGerald C. and Xu M.(2007), "Assessing the accuracy of the Sydney household travel survey with GPS," Transportation, vol. 34, no. 6, pp.723-741. crossref(new window)

3.
Itsubo S. and Hato E.(2006), "A study of the effectiveness of a household travel survey using GPS-equipped cell phones and a WEB diary through a comparative study with a paper based travel survey," Proc., 85th Annual Meeting of the Transportation Research Board, Washington, D.C.

4.
Gonzalez P. A., Weinstein J. S., Barbeau S. J., Labrador M. A. Winters P. L., Georggi N. L. and Perez R.(2010), "Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks," IET Intelligent Transport Systems, vol. 4, no. 1, pp. 37-49. crossref(new window)

5.
Charlton B., Schwartz M., Paul M., Sall E. and Hood J.(2010), "CycleTracks: a bicycle route choice data collection application for GPS-enabled smartphones," Proc., 3rd Transportation Research Board Conference on Innovations in Travel Modeling (ITM2010), Tempe, AZ.

6.
Jariyasunant J., Carrel A., Ekambaram V., Gaker D. J., Kote T., Sengupta R. and Walker J. L.(2011), The Quantified Traveler: Using Personal Travel Data to Promote Sustainable Transport Behavior. Publication UCTC-FR-2011-10. University of California Transportation Center.

7.
Safi H., Mesbah M. and Ferreira L.(2013), "ATLAS project - developing a mobile-based travel survey," Proc., 36th Australian Transportation Research Forum, Brisbane, Australian.

8.
Fan Y., Chen Q., Liao C. F. and Douma F.(2013), "UbiActive: a smartphone-based tool for trip detection and travel-related physical activity assessment," Proc., 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.

9.
Cottrill C., Pereira F. C., Zhao F., Dias I., Lim H., Ben-Akiva M. and Zegras P. C.(2013), "Future mobility survey: experience in developing a smartphone-based travel survey in Singapore," Transportation Research Record: Journal of the Transportation Research Board, no. 2354, pp.59-67.

10.
Zhao F., Pereira F., Ball C. R., Kim Y. Han Y., Zegras P. C. and Ben-Akiva M. (Forthcoming 2015), "Exploratory analysis of a smartphone-based travel survey in Singapore," Transportation Research Record: Journal of the Transportation Research Board.

11.
Gerike R., Gehlert T. and Leisch F.(2015), "Time use in travel surveys and time use surveys - two sides of the same coin?," Transportation Research Part A: Policy and Practice, vol. 76, pp.4-2. crossref(new window)

12.
Bohte W. and Maat K.(2009), "Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: a large-scale application in the Netherlands," Transportation Research Part C: Emerging Technologies, vol. 17, no. 3, pp.285-297. crossref(new window)

13.
Kelly P., Krenn P. Titze S., Stopher P. and Foster C.(2013), "Quantifying the difference between self-reported and global positioning systems-measured journey durations: a systematic review," Transport Reviews, vol. 33, no. 4, pp.443-459. crossref(new window)

14.
Nitsche P., Widhalm P., Breuss S. and Maurer P. A.(2012), "Strategy on how to utilize smartphones for automatically reconstructing trips in travel surveys," Procedia-Social and Behavioral Sciences, vol. 48, pp.1033-1046. crossref(new window)

15.
Xiao G., Juan Z. and Zhang C.(2015), "Travel mode detection based on GPS track data and bayesian networks," Computers, Environment and Urban Systems, vol. 54, pp.14-22. crossref(new window)

16.
Carrion C., Pereira F. C., Ball R., Zhao F., Kim Y., Nawarathne K., Zheng N., Zegras P. C. and Ben-Akiva M.(2014), "Evaluating FMS: a preliminary comparison with a traditional travel survey," Proc., 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.

17.
Zhao F., Ghorpade A., Pereira F. C., Zegras P. C. and Ben-Akiva M.(2014), "Stop detection in smartphone based travel surveys," Proc., 10th International Conference on Transport Survey Methods, Australia.

18.
Ghorpade A., Pereira F. C., Zhao F., Zegras P. C. and Ben-Akiva M.(2015), "An integrated stop-mode detection algorithm for real world smartphone-based travel survey," Proc., 94th Annual Meeting of the Transportation Research Board, Washington, D.C.

19.
Kim Y., Pereira F. C., Zhao F., Ghorpade A., Zegras P. C. and Ben-Akiva M.(2014), "Activity recognition for a smartphone and web based travel survey," Proc., 22nd International Conference on Pattern Recognition (ICPR), Stockholm, Sweden.

20.
Ball R., Ghorpade A., Nawarathne K., Baltazar R., Pereira F. C., Zegras P. C. and Ben-Akiva M.(2014), "Battery patterns and forecasting in a large-scale smartphone-based travel survey," Proc., 10th International Conference on Transport Survey Methods, Leura, Australia.

21.
Korean Transport Database (KTDB)(2010), National Transport Survey, Available at http://www.ktdb.go.kr/en/web/guest/45, Accessed Jun. 1, 2015.