Review of GPS Travel Survey and GPS Data-Processing Methods

Transport Reviews

Volumn 34, Issue 3, 2014, Pages 316-334

  Shen, Li ^a   Stopher, Peter R ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

GPS data processing; GPS survey; mode detection; trip purpose imputation; trip segment identification

Indexed keywords

ACCURACY ASSESSMENT; DETECTION METHOD; GPS; SATELLITE DATA; SURVEY METHOD; TRACKING; TRAVEL BEHAVIOR; TRAVEL DEMAND;

EID: 84899980474     PISSN: 01441647     EISSN: 14645327     Source Type: Journal    
DOI: 10.1080/01441647.2014.903530     Document Type: Review

References (66)

1. Bachu, P., Dudala, T., & Kothuri, S. M. (2001). Prompted recall in global positioning system survey: Proof-of-concept study. Transportation Research Record, (1768), 106-113. doi: 10.3141/1768-13
2. Beijing Municipal Committee of Transportation. (2012, July). The fourth Beijing comprehensive transportation survey report. Beijing Transport Research Centre, Beijing Municipal Committee of Transportation.
3. Bierlaire, M., Chen, J., & Newman, J. (2013). A probabilistic map matching method for Smartphone GPS data. Transportation Research Part C, 26, 78-98. doi: 10.1016/j.trc.2012.08.001
4. Biljecki, F. (2010). Automatic segmentation and classification of movement trajectories for transportation modes (Dissertation, MSc in Geomatrics). Delft University of Technology, TU Delft.
5. Bohte, W., & 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, 17, 285-297. doi: 10.1016/j.trc.2008.11.004
6. Bolbol, A., Cheng, T., & Paracha, A. (2010, August). GEOTRAVELDIARY: Towards Online automatic travel behaviour detection. WebMGS: 1st International Workshop on Pervasive Web Mapping, Geoprocessing and Services, Politecnico di Milano, Como, Italy.
7. Bricka, S., & Bhat, C. (2006). Comparative analysis of global positioning system-based and travel survey-based data. Transportation Research Record, (1972), 9-20. doi: 10.3141/1972-04
8. Bricka, S., Sen, S., Paleti, R., & Bhat, C. R. (2012). An analysis of the factors infl{ligature}uencing differences in survey-reported and GPS-recorded trips. Transportation Research Part C, 21, 67-88. doi: 10.1016/j.trc.2011.09.005
9. Bricka, S., Zmud, J., Wolf, J., & Freedman, J. (2009). Household travel surveys with GPS: An experiment. Transportation Research Record, (2105), 51-56. doi: 10.3141/2105-07
10. Broach, J., Dill, J., & Gliebe, J. (2012). Where do cyclists ride? A route choice model developed with revealed preference GPS data. Transportation Research Part A: Policy and Practice, 46(10), 1730-1740.
11. Bullock, P., Jiang, Q., & Stopher, P. (2005). Using GPS technology to measure on-time running of scheduled bus services. Journal of Public Transportation, 8(1), 21-40.
12. Chen, C., Gong, H., Lawson, C., & Bialostozky, E. (2010). Evaluating the feasibility of a passive travel survey collection in a complex urban environment. Transportation Research Part A, 44(10), 830-840.
13. Dill, J., & Gliebe, J. (2008). Understanding and measuring bicycling behavior: A focus on travel time and route choice. Final report. Oregon Transportation Research and Education Consortium. Retrieved from http://trid.trb.org/view.aspx?id=884287
14. Feng, T., & Timmermans, H.J. P. (2012, July 15-20). Recognition of transport mode using GPS and accelerometer data. Proceedings of the 13th international conference of the International Association for Travel Behaviour Research (IATBR), Toronto, Canada.
15. Giaimo, G., Anderson, R., Wargelin, L., & Stopher, P. (2010). Will it work? Pilot results from the first large-scale GPS-based household travel survey in the United States. Transportation Research Record, (2176), 26-34.
16. Gilani, H. (2005). Automatically determining route and mode of transport using a GPS enabled phone (Dissertation, the degree of Master of Science in Computer Science). University of South Florida.
17. Gong, H., Chen, C., Bialostozky, E., & Lawson, C. (2012). A GPS/GIS method for travel mode detection in New York city. Computers, Environment and Urban Systems, 36(2), 131-139. doi: 10.1016/j.compenvurbsys.2011.05.003
18. Gonzalez, P., Weinstein, J., Barbeau, S., Labrador, M., Winters, P., Georggi, N., & 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, 4(1), 37-49. doi: 10.1049/iet-its.2009.0029
19. Greaves, S., Fifer, S., Ellison, R., & Germanos, G. (2010). Development of a global positioning system web-based prompted recall solution for longitudinal travel surveys. Transportation Research Record, (2183), 69-77. doi: 10.3141/2183-08
20. Griffin, T., & Huang, Y. (2005, November 9-11). A decision tree classifi{ligature}cation model to automate trip purpose derivation. Proceedings of the ISCA 18th international conference on computer applications in industry and engineering, Sheraton Moana Surfrider, Honolulu, HI, pp. 44-49.
21. Hawkins, R., & Stopher, P. (2004, September 29-1 October). Collecting data with GPS: Those who reject, and those who receive. 27th Australasian Transport Research Forum, Adelaide.
22. Hudson, J. G., Duthie, J. C., Rathod, Y. K., Larsen, K. A., & Meyer, J. L. (2012). Using smartphones to collect bicycle travel data in Texas. Final report (Report No. UTCM 11-35-69). Retrieved from http://ntl.bts.gov/lib/45000/45700/45731/Hudson_11-35-69.pdf
23. Itsubo, S., & Hato, E. (2006, January). 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. Presented in Transportation Research Board (TRB) 85th annual meeting, Washington, DC.
24. Kelly, P., Krenn, P., Titze, S., Stopher, P., & Foster, C. (2013). Quantifying the difference between self-reported and global positioning systems-measured journey durations: A systematic review. Transport Reviews: A Transnational Transdisciplinary Journal, 33(4), 443-459. doi: 10.1080/01441647.2013.815288
25. Kohla, B., & Meschik, M. (2013). Comparing trip diaries with GPS tracking: An Austrian study. In J. Zmud & M. Lee-Gosselin (Eds.), Transport survey methods: Best practice for decision making (pp. 306-320). Bingley: Emerald Group Publishing Limited.
26. Krenn, P., Titze, S., Oja, P., Jones, A., & Ogilvie, D. (2011, November). Use of global positioning systems to study physical activity and the environment: A systematic review. American Journal of Preventive Medicine, 41(5), 508-515. doi: 10.1016/j.amepre.2011.06.046
27. Krizek, K. J., El-Geneidy, A., & Thompson, K. (2007). A detailed analysis of how an urban trail system affects cyclists' travel. Transportation, 34(5), 611-624. doi: 10.1007/s11116-007-9130-z
28. Krygsman, S., & Nel, J. (2009, July). The use of global positioning devices in travel surveys-a developing country application. 28th annual Southern African transport conference 2009 proceedings, Pretoria, South Africa.
29. Mackett, R., Brown, B., Gong, Y., Kitazawa, K., & Paskins, J. (2006). Children's independent movement in the local environment. Built Environment, 33(4), 454-468. doi: 10.2148/benv.33.4.454
30. Marcha, P., Roux, S., Yuan, S., Hubert, J.-P., Armoogum, J., Madre, J-L., & Lee-Gosselin, M. (2008, May 25-31). A study of non-response in the GPS sub-sample of the French national travel survey 2007-08. In P. Bonnel & J.-L. Madre (Eds.), The 8th international conference on survey methods in transport.
31. McGowen, P., & McNally, M. (2007, January). Evaluating the potential to predict activity types from GPS and GIS data. Proceedings of the 86th annual meeting of the Transportation Research Board.
32. Menghini, G., Carrasco, N., Schüssler, N., & Axhausen, K. W. (2010). Route choice of cyclists in Zurich. Transportation Research Part A: Policy and Practice, 44(9), 754-765.
33. O'Fallon, C., & Sullivan, C. (2004, September). Trip chaining: Understanding how New Zealanders link their travel. Research report to Transfund New Zealand.
34. Oliveira, M., & Casas, J. (2010). Improving data quality, accuracy, and response in on-board surveys: Application of innovative technologies. Transportation Research Record, (2183), 41-48.
35. Oliveira, M., Vovsha, P., Wolf, J. L., Birotker, Y., Givon, D., & Paasche, J. (2006, January 23-27). GPS-assisted prompted recall household travel survey to support development of advanced travel model in Jerusalem, Israel. Presented at the 90th annual meeting of the Transportation Research Board, Washington, DC.
36. Papinski, D., Scott, D., & Doherty, S. (2009). Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS. Transportation Research Part F, 12, 347-358. doi: 10.1016/j.trf.2009.04.001
37. Quiroga, C., & Bullock, D. (1998). Travel time studies with global positioning and geographic information systems: An integrated methodology. Transport Research Part C, 6(1-2), 101-127. doi: 10.1016/S0968-090X(98)00010-2
38. Rasmussen, T., Ingvardson, J. B., Halldórsdóttir, K., & Nielsen, O. A. (2013). Using wearable GPS devices in travel surveys: A case study in the Greater Copenhagen area. Transport conference at Aalborg University. ISSN 1603-9696. Retrieved from http://www.trafikdage.dk/papers_2013/188_ThomasKjaerRasmussen.pdf
39. Reddy, S., Mun, M., Burke, J., Estrin, D., Hansen, M., & Srivastava, M. (2010). Using mobile phones to determine transportation modes. ACM Transactions on Sensor Networks, 6(2), Article 13, 27 pages. doi: 10.1145/1689239.1689243
40. Rodriguez, D., Brown, A. L., & Troped, P. J. (2005). Portable global positioning units to complement accelerometry-based physical activity monitors. Medicine & Science in Sports & Exercise, 37(11 SUPPL.), S572-S581. doi: 10.1249/01.mss.0000185297.72328.ce
41. Schönfelder, S., Axhausen, K. W., Antille, N., & Bierlaire, M. (2002). Exploring the potentials of automatically collected GPS data for travel behaviour analysis. A Swedish data source. In J. Möltgen & A. Wytzisk (Eds.), GITechnologien für Verkehr und Logistik, IfGIprints, 13, pp. 155-179. Münster, Germany: Institut für Geoinformatik, Universität Münster.
42. Schüssler, N., & Axhausen, K. (2009). Processing raw data from global positioning systems without additional information. Transportation Research Record: Journal of the Transportation Research Board, (2105), 28-36. doi: 10.3141/2105-04
43. Shen, L., & Stopher, P. (2013a). A process for trip purpose imputation from Global Positioning System data. Transportation Research Part C: Emerging Technologies, 36, 261-267. doi: 10.1016/j.trc.2013.09.004
44. Shen, L., & Stopher, P. (2013b, October 4, 2013). Should we change the rules for trip identification for GPS travel records. Proceedings of the 36th Australasian Transport Research Forum ATRF 2013 - "Transport and the New World City", Brisbane, Australia.
45. Shen, L., & Stopher, P. (2013c, May 9). Using SenseCam to pursue 'ground truth' for GPS travel surveys. Presented at 14th TRB National Transportation Planning Applications conference, Columbus, OH.
46. Stenneth, L., Wolfson, O., Yu, P., & Xu, B. (2011, November 1-4). Transportation mode detection using mobile phones and GIS information. Proceedings of 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2011, Chicago, IL.
47. Stopher, P. (2008). The travel survey toolkit: Where to from here? In J. Madre, P. Bonnel, J. Zmud, & M. Lee-Gosselin (Eds.), Transport survey methods: Keeping up with a changing world (pp. 15-46). Bingley: Emerald Group Publishing Limited.
48. Stopher, P., FitzGerald, C., & Zhang, J. (2008). Search for a global positioning system device to measure person travel. Transportation Research Part C, 16, 350-369. doi: 10.1016/j.trc.2007.10.002
49. Stopher, P., & Greaves, S. (2009, October 1). Missing and inaccurate information from travel surveys - pilot results, 32nd Australasian Transport Research Forum ATRF 2009, Auckland, New Zealand.
50. Stopher, P., Greaves, S., & Shen, L. (2013, October 4). Comparing two processing routines for GPS traces - lessons learnt. Proceedings of the 36th Australasian Transport Research Forum ATRF 2013 - "Transport and the New World City", Brisbane, Australia.
51. Stopher, P., Moutou, C., & Liu, W. (2013). Sustainability of voluntary travel behaviour change initiatives: A 5-year study (Working Paper ITLS-WP-13-12).
52. Stopher, P., & Shen, L. (2011). In-depth comparison of global positioning system and diary records. Transportation Research Record: Journal of the Transportation Research Board, (2246), 32-37. doi: 10.3141/2246-05
53. Stopher, P., & Wargelin, L. (2010, July 11-15). Conducting a household travel survey with GPS: Reports on a pilot study. 12th World Conference on Transport Research (WCTR)2010, Lisbon, Portugal.
54. Stopher, P., Zhang, J., Zhang, Y., & Halling, B. (2009, October 1). Results of an evaluation of TravelSmart in South Australia. 32nd Australasian Transport Research Forum ATRF 2009, Auckland, New Zealand.
55. Troped, P. J., Oliveira, M. S., Matthews, C. E., Cromley, E. K., Melly, S. J., & Craig, B. A. (2008, May). Prediction of activity mode with global positioning system and accelerometer data. Medicine & Science in Sports & Exercise, 40(5), 972-978. doi: 10.1249/MSS.0b013e318164c407
56. Tsui, S. Y. A. (2005). An enhanced system for link and mode identifications for GPS-based personal travel surveys (Dissertation, Graduate Department of Civil Engineering). University of Toronto.
57. U.S. Department of Transportation, Federal Highway Administration. (2009). National Household Travel Survey 2009. Retrieved from http://nhts.ornl.gov
58. Wagner, D. (1997). Lexington area travel data collection test; global positioning systems for personal travel surveys. Final report to Office of Highway Information Management, Office of Technology Application and US Federal Highway Administration.
59. White, C., Bernstein, D., & Kornhauser, A. (2000). Some map matching algorithms for personal navigation assistants. Transportation Research Part C, 8, 91-108. doi: 10.1016/S0968-090X(00)00026-7
60. Wolf, J. (2000). Using GPS data loggers to replace travel diaries in the collection of travel data (Dissertation). Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, GA.
61. Wolf, J., Guensler, S., & Bachman, W. (2001). Elimination of the travel diary: An experiment to derive trip purpose from GPS travel data. Transportation Research Record, (1768), Paper No. 01-3255, 125-134.
62. Wolf, J., Hallmark, S., Oliveira, M., Guensler, R., & Sarasua, W. (1999). Accuracy issues with route choice data collection by using global positioning system. Transportation Research Record, (1660), 66-74. doi: 10.3141/1660-09
63. Wolf, J., Schönfelder, S., Samaga, U., & Axhausen, K. W. (2004, January). 80 weeks of GPS-traces: Approaches to enriching trip information. Presented at the 83rd annual meeting of the Transportation Research Board, Washington, DC.
64. Xiao, Y., Low, D., Bandara, T., Pathak, P., Lim, H. B., Goyal, D., Ben-Akiva, M. (2012, January 14-17). Transportation activity analysis using smartphones. Consumer Communications and Networking Conference (CCNC), IEEE, pp. 60-61.
65. Zhang, Y., Stopher, P., & Jiang, Q. (2010, September). Developing tour-based data from multi-day GPS data. Australasian Transport Research Forum (ATRF), 33rd, Canberra, ACT, Australia.
66. Zimowski, M., Tourangeau, R., Ghadialy, R., & Pedlow, S. (1997). Non-response in household travel surveys. A report prepared for the Federal Highway Administration.