IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v76y2019icp287-300.html
   My bibliography  Save this article

Intrapersonal mode choice variation: Evidence from a four-week smartphone-based travel survey in the Netherlands

Author

Listed:
  • Thomas, Tom
  • La Paix Puello, Lissy
  • Geurs, Karst

Abstract

This paper examines mode choice variation in the Netherlands based on the trip data of 432 respondents from a four-week smartphone-based travel survey. Trip characteristics, including origin and destination location, arrival and departure time, mode and trip purpose, were automatically recorded, but checked and if necessary revised in a web-based prompted recall survey. Statistical analyses and mixed logit mode choice models were used to explore intrapersonal variation and its effect on mode choice. We found relatively much intrapersonal variation for short trips (<2 km) as respondents who usually travel by car also regularly walk and/or cycle. By contrast, intrapersonal variation was significantly smaller in trips longer than 10 km, suggesting that people choose the same mode when they repeat long journeys. The intrapersonal variation is also relatively small for commute trips, implying a high level of habituation. In addition, the results from the mixed logit mode choice models clearly show that including a classification of travellers determined by the degree of intrapersonal variation significantly explains mode choice.

Suggested Citation

  • Thomas, Tom & La Paix Puello, Lissy & Geurs, Karst, 2019. "Intrapersonal mode choice variation: Evidence from a four-week smartphone-based travel survey in the Netherlands," Journal of Transport Geography, Elsevier, vol. 76(C), pages 287-300.
    • Handle: RePEc:eee:jotrge:v:76:y:2019:i:c:p:287-300
    DOI: 10.1016/j.jtrangeo.2018.06.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692317301096
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2018.06.021?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
    ---><---

    References listed on IDEAS

    as
    1. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    2. Tommy Gärling & Kay Axhausen, 2003. "Introduction: Habitual travel choice," Transportation, Springer, vol. 30(1), pages 1-11, February.
    3. Kenneth Train ., 2000. "Halton Sequences for Mixed Logit," Economics Working Papers E00-278, University of California at Berkeley.
    4. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    5. Elisabetta Cherchi & Cinzia Cirillo, 2014. "Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data," Transportation, Springer, vol. 41(6), pages 1245-1262, November.
    6. María Yáñez & Patricio Mansilla & Juan de Ortúzar, 2010. "The Santiago Panel: measuring the effects of implementing Transantiago," Transportation, Springer, vol. 37(1), pages 125-149, January.
    7. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    8. Robert Schlich & Kay Axhausen, 2003. "Habitual travel behaviour: Evidence from a six-week travel diary," Transportation, Springer, vol. 30(1), pages 13-36, February.
    9. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2016. "Variability in daily activity-travel patterns: the case of a one-week travel diary," Post-Print halshs-01389479, HAL.
    10. María Yáñez & Elisabetta Cherchi & Benjamin Heydecker & Juan de Dios Ortúzar, 2011. "On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates," Networks and Spatial Economics, Springer, vol. 11(3), pages 393-418, September.
    11. Cherchi, Elisabetta & Cirillo, Cinzia & Ortúzar, Juan de Dios, 2017. "Modelling correlation patterns in mode choice models estimated on multiday travel data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 146-153.
    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. Lissy Paix & Abu Toasin Oakil & Frank Hofman & Karst Geurs, 2022. "The influence of panel effects and inertia on travel cost elasticities for car use and public transport," Transportation, Springer, vol. 49(3), pages 989-1016, June.
    2. Thamires Ferreira Schubert & Elisa Henning & Simone Becker Lopes, 2020. "Analysis of the Possibility of Transport Mode Switch: A Case Study for Joinville Students," Sustainability, MDPI, vol. 12(13), pages 1-20, June.
    3. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.

    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. Cherchi, Elisabetta & Cirillo, Cinzia & Ortúzar, Juan de Dios, 2017. "Modelling correlation patterns in mode choice models estimated on multiday travel data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 146-153.
    2. Crawford, F. & Watling, D.P. & Connors, R.D., 2018. "Identifying road user classes based on repeated trip behaviour using Bluetooth data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 55-74.
    3. Milad Mehdizadeh & Alireza Ermagun, 2020. "“I’ll never stop driving my child to school”: on multimodal and monomodal car users," Transportation, Springer, vol. 47(3), pages 1071-1102, June.
    4. La Paix Puello, Lissy & Chowdhury, Saidul & Geurs, Karst, 2019. "Using panel data for modelling duration dynamics of outdoor leisure activities," Journal of choice modelling, Elsevier, vol. 31(C), pages 141-155.
    5. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.
    6. González, Rosa Marina & Marrero, Ángel Simón & Cherchi, Elisabetta, 2017. "Testing for inertia effect when a new tram is implemented," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 150-159.
    7. Cirillo, C. & Axhausen, K.W., 2006. "Evidence on the distribution of values of travel time savings from a six-week diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 444-457, June.
    8. Andre Carrel & Raja Sengupta & Joan L. Walker, 2017. "The San Francisco Travel Quality Study: tracking trials and tribulations of a transit taker," Transportation, Springer, vol. 44(4), pages 643-679, July.
    9. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    10. Lissy Paix & Abu Toasin Oakil & Frank Hofman & Karst Geurs, 2022. "The influence of panel effects and inertia on travel cost elasticities for car use and public transport," Transportation, Springer, vol. 49(3), pages 989-1016, June.
    11. Kun Gao & Minhua Shao & Kay W. Axhausen & Lijun Sun & Huizhao Tu & Yihong Wang, 2022. "Inertia effects of past behavior in commuting modal shift behavior: interactions, variations and implications for demand estimation," Transportation, Springer, vol. 49(4), pages 1063-1097, August.
    12. Morency, Catherine & Trépanier, Martin & Agard, Bruno, 2007. "Measuring transit use variability with smart-card data," Transport Policy, Elsevier, vol. 14(3), pages 193-203, May.
    13. Xiaoning Liu & Linjie Gao & Anning Ni & Nan Ye, 2020. "Understanding Better the Influential Factors of Commuters’ Multi-Day Travel Behavior: Evidence from Shanghai, China," Sustainability, MDPI, vol. 12(1), pages 1-13, January.
    14. Edmond Daramy-Williams & Jillian Anable & Susan Grant-Muller, 2019. "Car Use: Intentional, Habitual, or Both? Insights from Anscombe and the Mobility Biography Literature," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    15. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    16. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    17. Kazagli, Evanthia & de Lapparent, Matthieu, 2023. "A discrete choice modeling framework of heterogenous decision rules accounting for non-trading behavior," Journal of choice modelling, Elsevier, vol. 48(C).
    18. Benjamin Motte-Baumvol & Julie Fen-Chong & Olivier Bonin, 2023. "Immobility in a weekly mobility routine: studying the links between mobile and immobile days for employees and retirees," Transportation, Springer, vol. 50(5), pages 1723-1742, October.
    19. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    20. Ahmad Termida, Nursitihazlin & Susilo, Yusak O. & Franklin, Joel P., 2016. "Observing dynamic behavioural responses due to the extension of a tram line by using panel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 78-95.

    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:eee:jotrge:v:76:y:2019:i:c:p:287-300. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.