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Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review

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  • Paul Kelly
  • Patricia Krenn
  • Sylvia Titze
  • Peter Stopher
  • Charlie Foster

Abstract

Accurate measurement of travel behaviour is vital for transport planning, modelling, public health epidemiology, and assessing the impact of travel interventions. Self-reported diaries and questionnaires are traditionally used as measurement tools; advances in Global Positioning Systems (GPS) technology allow for comparison. This review aimed to identify and report about studies comparing self-reported and GPS-measured journey durations. We systematically searched, appraised, and analysed published and unpublished articles from electronic databases, reference lists, bibliographies, and websites up to December 2012. Included studies used GPS and self-report to investigate trip duration. The average trip duration from each measure was compared and an aggregated, pooled estimate of the difference, weighted by number of trips, was calculated. We found 12 results from eight eligible studies. All studies showed self-reported journey times were greater than GPS-measured times. The difference between self-report and GPS times ranged from over-reporting of +2.2 to +13.5 minutes per journey. The aggregated, pooled estimate of the difference, weighted by number of trips, was over-report of +4.4 minutes (+28.6%). Studies comparing self-reported and GPS-measured journey duration have shown self-reported to be consistently over-reported across the study sample. Our findings suggest that when using self-reported journey behaviour, the journey durations should be treated as an over-estimation.

Suggested Citation

  • Paul Kelly & Patricia Krenn & Sylvia Titze & Peter Stopher & Charlie Foster, 2013. "Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 443-459, July.
    • Handle: RePEc:taf:transr:v:33:y:2013:i:4:p:443-459
    DOI: 10.1080/01441647.2013.815288
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    References listed on IDEAS

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    1. Piet Rietveld, 2001. "Rounding of Arrival and Departure Times in Travel Surveys: An Interpretation in Terms of Scheduled Activities," Tinbergen Institute Discussion Papers 01-110/3, Tinbergen Institute.
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    2. Peter R. Stopher & Asif Ahmed & Wen Liu, 2017. "Travel time budgets: new evidence from multi-year, multi-day data," Transportation, Springer, vol. 44(5), pages 1069-1082, September.
    3. Chiara Calastri & Romain Crastes dit Sourd & Stephane Hess, 2020. "We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning," Transportation, Springer, vol. 47(1), pages 175-201, February.
    4. Satomi Kimijima & Masahiko Nagai, 2017. "Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    5. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Deriving transport appraisal values from emerging revealed preference data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 225-245.
    6. Peter Schantz & Lina Wahlgren & Jane Salier Eriksson & Johan Nilsson Sommar & Hans Rosdahl, 2018. "Estimating duration-distance relations in cycle commuting in the general population," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.
    7. Ties Brands & Malvika Dixit & Edgard Zúñiga & Niels Oort, 2022. "Perceived and actual travel times in a multi-modal urban public transport network: comparing survey and AVL data," Public Transport, Springer, vol. 14(1), pages 85-103, March.
    8. Han, Gain & Sohn, Keemin, 2016. "Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 121-135.
    9. Meijering, Louise & Weitkamp, Gerd, 2016. "Numbers and narratives: Developing a mixed-methods approach to understand mobility in later life," Social Science & Medicine, Elsevier, vol. 168(C), pages 200-206.
    10. Peter Schantz, 2017. "Distance, Duration, and Velocity in Cycle Commuting: Analyses of Relations and Determinants of Velocity," IJERPH, MDPI, vol. 14(10), pages 1-14, October.
    11. Md. Sakoat Hossan & Hamidreza Asgari & Xia Jin, 2018. "Trip misreporting forecast using count data model in a GPS enhanced travel survey," Transportation, Springer, vol. 45(6), pages 1687-1700, November.
    12. Jianchuan Xianyu & Soora Rasouli & Harry Timmermans, 2017. "Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models," Transportation, Springer, vol. 44(3), pages 533-553, May.
    13. Fillekes, Michelle Pasquale & Röcke, Christina & Katana, Marko & Weibel, Robert, 2019. "Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults," Social Science & Medicine, Elsevier, vol. 220(C), pages 193-202.
    14. Hong, Shuyao & Zhao, Fang & Livshits, Vladimir & Gershenfeld, Shari & Santos, Jorge & Ben-Akiva, Moshe, 2021. "Insights on data quality from a large-scale application of smartphone-based travel survey technology in the Phoenix metropolitan area, Arizona, USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 413-429.
    15. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2017. "Suburban travelers pressed for time: Exploring the temporal implications of metropolitan commuting in Barcelona," Journal of Transport Geography, Elsevier, vol. 65(C), pages 165-174.
    16. Li Shen & Peter R. Stopher, 2014. "Review of GPS Travel Survey and GPS Data-Processing Methods," Transport Reviews, Taylor & Francis Journals, vol. 34(3), pages 316-334, May.
    17. Winters, Meghan & Voss, Christine & Ashe, Maureen C. & Gutteridge, Kaitlyn & McKay, Heather & Sims-Gould, Joanie, 2015. "Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment," Social Science & Medicine, Elsevier, vol. 133(C), pages 304-312.
    18. Hadachi, Amnir & Pourmoradnasseri, Mozhgan & Khoshkhah, Kaveh, 2020. "Unveiling large-scale commuting patterns based on mobile phone cellular network data," Journal of Transport Geography, Elsevier, vol. 89(C).

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