IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02532774.html
   My bibliography  Save this paper

Interactive Simulation For Collective Decision Making In City Logistics

Author

Listed:
  • Arthur Gaudron

    (CAOR - Centre de Robotique - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres)

  • Simon Tamayo

    (CAOR - Centre de Robotique - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres)

  • Arnaud de La Fortelle

    (CAOR - Centre de Robotique - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres)

Abstract

For a given problem in city logistics, diversity of the stakeholders makes it difficult to consider everyone's objectives and constraints. Therefore, it is hard to anticipate the impacts of a new regulation. The proposed methodology is based on participatory modelling, where stakeholders share their expertise in order to build a common representation of the problem. In the proposed use case, discussion groups are asked to estimate regulatory impacts on two types of carriers. Following the objective to involve people unfamiliar with modelling techniques, the experimentation aims at testing if interactivity with the model helps as support for discussion.

Suggested Citation

  • Arthur Gaudron & Simon Tamayo & Arnaud de La Fortelle, 2019. "Interactive Simulation For Collective Decision Making In City Logistics," Post-Print hal-02532774, HAL.
  • Handle: RePEc:hal:journl:hal-02532774
    DOI: 10.1016/j.trpro.2020.03.176
    Note: View the original document on HAL open archive server: https://hal.science/hal-02532774
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02532774/document
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.trpro.2020.03.176?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. Herbert A. Simon, 1990. "Prediction and Prescription in Systems Modeling," Operations Research, INFORMS, vol. 38(1), pages 7-14, February.
    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. T. S. Raghu & P. K. Sen & H. R. Rao, 2003. "Relative Performance of Incentive Mechanisms: Computational Modeling and Simulation of Delegated Investment Decisions," Management Science, INFORMS, vol. 49(2), pages 160-178, February.
    2. Bart Verhees & Kees Van Kuijk & Lianne Simonse, 2017. "Care Model Design for E-Health: Integration of Point-of-Care Testing at Dutch General Practices," IJERPH, MDPI, vol. 15(1), pages 1-16, December.
    3. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    4. Amy Greenwald & Karthik Kannan & Ramayya Krishnan, 2010. "On Evaluating Information Revelation Policies in Procurement Auctions: A Markov Decision Process Approach," Information Systems Research, INFORMS, vol. 21(1), pages 15-36, March.
    5. Julie Chytilová & Natálie Reichlová, 2007. "Komplexní systémy v teoriích F. A. Hayeka a H. A. Simona [Complex systems in the theories of F. A. Hayek and H. A . Simon]," Politická ekonomie, Prague University of Economics and Business, vol. 2007(5), pages 694-707.
    6. Makowski, Marek, 2000. "Modeling paradigms applied to the analysis of European air quality," European Journal of Operational Research, Elsevier, vol. 122(2), pages 219-241, April.
    7. Eriksson, D. M., 2003. "A framework for the constitution of modelling processes: A proposition," European Journal of Operational Research, Elsevier, vol. 145(1), pages 202-215, February.
    8. Bartoli, J.A. & Le Moigne, J.L., 1994. "Qualitative reasoning and complex symbol processing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 36(2), pages 129-136.
    9. Le Moigne, Jean-Louis, 1995. "On theorizing the complexity of economic systems," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 24(3), pages 477-499.

    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:hal:journl:hal-02532774. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.