IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v64y2017icp13-25.html
   My bibliography  Save this article

Integrating discrete choice models and agent-based models for ex-ante evaluation of stakeholder policy acceptability in urban freight transport

Author

Listed:
  • Le Pira, Michela
  • Marcucci, Edoardo
  • Gatta, Valerio
  • Inturri, Giuseppe
  • Ignaccolo, Matteo
  • Pluchino, Alessandro

Abstract

This paper discusses the potential benefits of combining discrete choice models (DCMs) and agent-based models (ABMs) to provide a stakeholder behavioural analysis and support stakeholder engagement in urban freight transport (UFT) planning. The integrated modelling framework allows to evaluate stakeholders’ policy acceptability taking into account their heterogeneous preferences and their interactive behaviour. The stakeholder behavioural analysis proposed, together with technical and economic analyses, contributes to the ex-ante policy assessment needed to support policy-makers in taking well-thought-out decisions. An application of the modelling framework is here presented with the aim to prove its feasibility and added value for UFT policy-making, since it provides a ranking of policies that are likely to be accepted by stakeholders and that satisfy their heterogeneous desires and objectives while accounting for interaction effects.

Suggested Citation

  • Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Integrating discrete choice models and agent-based models for ex-ante evaluation of stakeholder policy acceptability in urban freight transport," Research in Transportation Economics, Elsevier, vol. 64(C), pages 13-25.
  • Handle: RePEc:eee:retrec:v:64:y:2017:i:c:p:13-25
    DOI: 10.1016/j.retrec.2017.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885917301658
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2017.08.002?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.

    More about this item

    Keywords

    Stated preference; Agent-based simulation; Stakeholder acceptance; Stakeholder behavioural analysis; Participatory urban freight transport planning;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:eee:retrec:v:64:y:2017:i:c:p:13-25. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.