IDEAS home Printed from https://ideas.repec.org/p/hhs/trnspr/2019_003.html
   My bibliography  Save this paper

Estimation of large-scale tour generation model taking travellers' daily tour pattern into account

Author

Listed:
  • Kristoffersson, Ida

    (Research Programme in Transport Economics)

  • Berglund, Svante

    (Research Programme in Transport Economics)

  • Algers, Staffan

    (Research Programme in Transport Economics)

Abstract

Tour generation is conventionally modelled separately per tour purpose. Tours with different purposes are however not generated independently of each other in reality. For example, few travellers conduct more than three tours per day. In this paper, the conventional tour generation model is extended into estimation of a model that takes travellers’ daily tour pattern into account. Results show that access to car and drivers’ licence, having a job and presence of children in the household increase the probability of making many tours in one day. Furthermore, results show that accessibility is an important factor for generation of non-mandatory tours, that weekend and holiday season are important determinants of when tour purposes are generated, that high income increases the probability of conducting business tours as well as tour patterns that include expensive activities and that high income reduces the probability of conducting cheap activities such as visiting friends and family.

Suggested Citation

  • Kristoffersson, Ida & Berglund, Svante & Algers, Staffan, 2019. "Estimation of large-scale tour generation model taking travellers' daily tour pattern into account," Papers 2019:3, Research Programme in Transport Economics.
  • Handle: RePEc:hhs:trnspr:2019_003
    as

    Download full text from publisher

    File URL: https://transportportal.se/transportekonomi-org/wp-2019-3.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohammad M. Molla & Matthew L. Stone & Diomo Motuba, 2017. "Developing an activity-based trip generation model for small/medium size planning agencies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 540-555, July.
    2. Kristoffersson, Ida & Daly, Andrew & Algers, Staffan, 2018. "Modelling the attraction of travel to shopping destinations in large-scale modelling," Transport Policy, Elsevier, vol. 68(C), pages 52-62.
    3. David C. Broadstock & Alan Collins & Lester C. Hunt, 2010. "Modelling car trip generations for UK residential developments using data from TRICS," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(8), pages 671-678, September.
    Full references (including those not matched with items on IDEAS)

    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. O'Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2022. "Retail sprawl and CO2 emissions: Retail centres in Irish cities," Journal of Transport Geography, Elsevier, vol. 102(C).
    2. Méndez-Vogel, Gonzalo & Marianov, Vladimir & Lüer-Villagra, Armin & Eiselt, H.A., 2023. "Store location with multipurpose shopping trips and a new random utility customers’ choice model," European Journal of Operational Research, Elsevier, vol. 305(2), pages 708-721.
    3. De Gruyter, Chris & Zahraee, Seyed Mojib & Shiwakoti, Nirajan, 2021. "Site characteristics associated with multi-modal trip generation rates at residential developments," Transport Policy, Elsevier, vol. 103(C), pages 127-145.
    4. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2023. "Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling," Journal of Transport Geography, Elsevier, vol. 108(C).
    5. Liu, Chengxi & Tapani, Andreas & Kristoffersson, Ida & Rydergren, Clas & Jonsson, Daniel, 2020. "Development of a large-scale transport model with focus on cycling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 164-183.
    6. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2022. "Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities," Journal of choice modelling, Elsevier, vol. 42(C).
    7. Saša Medić & Jelena Atanacković Jeličić & Milan Rapaić, 2024. "Advancing Social and Economic Sustainability in Urban Areas: A Methodology for Determining Architectural Programs of Shopping Centers," Sustainability, MDPI, vol. 16(8), pages 1-25, April.
    8. 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).

    More about this item

    Keywords

    Tour generation; Large-scale transport model; Tour purpose; Demand model;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

    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:hhs:trnspr:2019_003. 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: Mats Berggren (email available below). General contact details of provider: https://edirc.repec.org/data/tevtise.html .

    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.