IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v45y2018i6d10.1007_s11116-017-9782-2.html
   My bibliography  Save this article

Trip misreporting forecast using count data model in a GPS enhanced travel survey

Author

Listed:
  • Md. Sakoat Hossan

    (Florida International University)

  • Hamidreza Asgari

    (Florida International University)

  • Xia Jin

    (Florida International University)

Abstract

As Global Positioning System (GPS) technology advances, it has been increasingly used to supplement traditional self-reported travel surveys due to its promising features in capturing travel data with better accuracy and reliability. Realizing the limitations of diary-based surveys, this paper presents a study that directly accounts for trip misreporting behavior in trip generation models. Travel data were obtained from prompted-recall assisted GPS survey along with a diary-based survey. Negative Binomial models for count data were developed to accommodate misreporting behavior by introducing interaction effects of the sample-indicator variable with various personal and household variables. The interaction effects indicate how the impacts of the socioeconomic and demographic variables on trip-making vary across the two samples. Assuming that the GPS sample represents the ground truth, the interaction effects actually capture the likelihood and the extent of trip misreporting by detailed personal and household characteristics. The model results reveal significant interaction effects of several personal and household variables, indicating misreporting behavior associated with these attributes. The addition of interaction coefficients to the main effect model represents the real impacts of the independent variables, after compensating for trip misreporting behavior, if any.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:6:d:10.1007_s11116-017-9782-2
    DOI: 10.1007/s11116-017-9782-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-017-9782-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-017-9782-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arthur (Yan) Huang & David Levinson, 2015. "Axis of travel: Modeling non-work destination choice with GPS data," Working Papers 000113, University of Minnesota: Nexus Research Group.
    2. Agyemang-Duah, Kwaku & Hall, Fred L., 1997. "Spatial transferability of an ordered response model of trip generation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(5), pages 389-402, September.
    3. 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.
    4. Pattiz, Brian David, 2009. "Count regression models for recreation demand: an application to Clear Lake," ISU General Staff Papers 200901010800002092, Iowa State University, Department of Economics.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vytautas Dumbliauskas & Vytautas Grigonis, 2020. "An Empirical Activity Sequence Approach for Travel Behavior Analysis in Vilnius City," Sustainability, MDPI, vol. 12(2), pages 1-22, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Calastri, Chiara & Hess, Stephane & Choudhury, Charisma & Daly, Andrew & Gabrielli, Lorenzo, 2019. "Mode choice with latent availability and consideration: Theory and a case study," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 374-385.
    3. 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.
    4. Liu, Jianmiao & Li, Junyi & Chen, Yong & Lian, Song & Zeng, Jiaqi & Geng, Maosi & Zheng, Sijing & Dong, Yinan & He, Yan & Huang, Pei & Zhao, Zhijian & Yan, Xiaoyu & Hu, Qinru & Wang, Lei & Yang, Di & , 2023. "Multi-scale urban passenger transportation CO2 emission calculation platform for smart mobility management," Applied Energy, Elsevier, vol. 331(C).
    5. Yasmin, Farhana & Morency, Catherine & Roorda, Matthew J., 2015. "Assessment of spatial transferability of an activity-based model, TASHA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 200-213.
    6. 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.
    7. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    8. Bhat, Chandra & Lockwood, Allison, 2004. "On distinguishing between physically active and physically passive episodes and between travel and activity episodes: an analysis of weekend recreational participation in the San Francisco Bay area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(8), pages 573-592, October.
    9. 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.
    10. Florian Aschauer & Inka Rösel & Reinhard Hössinger & Heinz Brian Kreis & Regine Gerike, 2019. "Time use, mobility and expenditure: an innovative survey design for understanding individuals’ trade-off processes," Transportation, Springer, vol. 46(2), pages 307-339, April.
    11. 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.
    12. Zuo, Ting & Wei, Heng & Liu, Hao & Yang, Y. Jeffrey, 2019. "Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand," Journal of Transport Geography, Elsevier, vol. 74(C), pages 161-172.
    13. Huang, Arthur & Levinson, David, 2017. "A model of two-destination choice in trip chains with GPS data," Journal of choice modelling, Elsevier, vol. 24(C), pages 51-62.
    14. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    15. Berjisian, Elmira & Habibian, Meeghat, 2019. "Developing a pedestrian destination choice model using the stratified importance sampling method," Journal of Transport Geography, Elsevier, vol. 77(C), pages 39-47.
    16. Yuji Yoshimura & Stanislav Sobolevsky & Juan N Bautista Hobin & Carlo Ratti & Josep Blat, 2018. "Urban association rules: Uncovering linked trips for shopping behavior," Environment and Planning B, , vol. 45(2), pages 367-385, March.
    17. Robert Noland & John Polak & Michael Bell & Neil Thorpe, 2003. "How much disruption to activities could fuel shortages cause? – The British fuel crisis of September 2000," Transportation, Springer, vol. 30(4), pages 459-481, November.
    18. Seter, Hanne & Arnesen, Petter & Hjelkrem, Odd André, 2019. "The data driven transport research train is leaving the station. Consultants all aboard?," Transport Policy, Elsevier, vol. 80(C), pages 59-69.
    19. Mai, Tien & Bui, The Viet & Nguyen, Quoc Phong & Le, Tho V., 2023. "Estimation of recursive route choice models with incomplete trip observations," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 313-331.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:45:y:2018:i:6:d:10.1007_s11116-017-9782-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.