IDEAS home Printed from https://ideas.repec.org/a/taf/transr/v31y2011i4p473-494.html
   My bibliography  Save this article

Dynamic Discrete Choice Models for Transportation

Author

Listed:
  • Cinzia Cirillo
  • Renting Xu

Abstract

Discrete choice models have received widespread acceptance in transport research over the past three decades, being used in travel demand modelling and behavioural analysis; however, their applications have been mainly developed in a static context. There have been several dynamic models in transportation; but these formulations are not based on dynamic optimization principles and do not allow for changes in external factors. With the continuous and rapid changes in modern societies (i.e. introduction of advanced technologies, aggressive marketing strategies and innovative policies) it is more and more recognized by researchers in various disciplines from economics to social science that choice situations take place in a dynamic environment and that strong interdependencies exist among decisions made at different points in time. Dynamic discrete choice models (DDCMs) describe the behaviour of a forward-looking economic agent who chooses between several alternatives repeatedly over time. DDCMs are usually specified as an optimal stopping problem, where agents decide when to make a change in ownership of durable goods or in their behaviour. In this paper, we present the application of the dynamic formulation to short- to medium-term vehicle-holding decisions.

Suggested Citation

  • Cinzia Cirillo & Renting Xu, 2011. "Dynamic Discrete Choice Models for Transportation," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 473-494.
    • Handle: RePEc:taf:transr:v:31:y:2011:i:4:p:473-494
    DOI: 10.1080/01441647.2010.533393
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01441647.2010.533393
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01441647.2010.533393?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.

    Citations

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


    Cited by:

    1. Ferrari, Paolo, 2014. "The dynamics of modal split for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 163-176.
    2. Sabouri, Sadegh & Tian, Guang & Ewing, Reid & Park, Keunhyun & Greene, William, 2021. "The built environment and vehicle ownership modeling: Evidence from 32 diverse regions in the U.S," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Arkoudi, Ioanna & Krueger, Rico & Azevedo, Carlos Lima & Pereira, Francisco C., 2023. "Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
    4. Haoying Wang & Guohui Wu, 2022. "Modeling discrete choices with large fine-scale spatial data: opportunities and challenges," Journal of Geographical Systems, Springer, vol. 24(3), pages 325-351, July.
    5. Ioanna Arkoudi & Carlos Lima Azevedo & Francisco C. Pereira, 2021. "Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance," Papers 2109.12042, arXiv.org, revised Sep 2021.
    6. Frances Ifeoma Ukonze & Maxwell Umunna Nwachukwu & Harold Chike Mba & Donald Chiuba Okeke & Uloma Jiburum, 2020. "Determinants of Vehicle Ownership in Nigeria," SAGE Open, , vol. 10(2), pages 21582440209, May.
    7. Chung, Yi-Shih & Ku, Ya-Han, 2023. "Effect of time stress and store visibility on the dynamics of passenger activity choices at airport terminals based on indoor trajectory data," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    8. Chenfeng Xiong & Di Yang & Lei Zhang, 2018. "A High-Order Hidden Markov Model and Its Applications for Dynamic Car Ownership Analysis," Service Science, INFORMS, vol. 52(6), pages 1365-1375, December.
    9. Mattioli, Giulio & Anable, Jillian & Vrotsou, Katerina, 2016. "Car dependent practices: Findings from a sequence pattern mining study of UK time use data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 56-72.
    10. Liu, Yan & Cirillo, Cinzia, 2018. "A generalized dynamic discrete choice model for green vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 288-302.
    11. Hasnine, Md Sami & Habib, Khandker Nurul, 2018. "What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling," Transport Policy, Elsevier, vol. 71(C), pages 70-80.
    12. Stathopoulos, Amanda & Cirillo, Cinzia & Cherchi, Elisabetta & Ben-Elia, Eran & Li, Yeun-Touh & Schmöcker, Jan-Dirk, 2017. "Innovation adoption modeling in transportation: New models and data," Journal of choice modelling, Elsevier, vol. 25(C), pages 61-68.
    13. Zhao, Jianfeng & Liu, Henry J. & Love, Peter E.D. & Greenwood, David J. & Sing, Michael C.P., 2022. "Public-private partnerships: A dynamic discrete choice model for road projects," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    14. Chan, Ho-Yin & Cheng, Dawei & Chen, Anthony, 2024. "Routes with roots: Pedestrian route choices and sense of place of an urban university community," Journal of Transport Geography, Elsevier, vol. 118(C).
    15. Chenfeng Xiong & Lei Zhang, 2017. "Dynamic travel mode searching and switching analysis considering hidden model preference and behavioral decision processes," Transportation, Springer, vol. 44(3), pages 511-532, May.

    More about this item

    Statistics

    Access and download statistics

    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:taf:transr:v:31:y:2011:i:4:p:473-494. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TTRV20 .

    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.