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Simulating the Structure and Localization of Activities for Decision Making and Freight Modelling: The SIMETAB Model

Author

Listed:
  • Mathieu Gardrat

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Marc Serouge

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Florence Toilier

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Jesus Gonzalez-Feliu

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper aims to introduce the methodology of the SIMETAB model which attempts to simulate the economic structure of an area, and then produce inputs needed by many urban goods simulation models. The proposed model aims at understanding the economic structure of a city, in order to simulate the urban goods movements depending of the activity using an existing mode. This model's main function is to simulate the number of establishments by category of size and field of activity for a given zone, or to build evolution scenarios from a starting situation. Starting from a known structure (or simulated through SIMETAB), it is possible to make the economic structure of a city evolve. This feature allows decision makers to forecast the impacts of alterations of the urban framework in the future, from basic data such as population and employment statistics.

Suggested Citation

  • Mathieu Gardrat & Marc Serouge & Florence Toilier & Jesus Gonzalez-Feliu, 2014. "Simulating the Structure and Localization of Activities for Decision Making and Freight Modelling: The SIMETAB Model," Post-Print halshs-02125125, HAL.
    • Handle: RePEc:hal:journl:halshs-02125125
    DOI: 10.1016/j.sbspro.2014.01.1463
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    Citations

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    Cited by:

    1. Elsa Le Van & Philippe Zuccarello & Florence Toilier & Jean-Louis Routhier & Bernard Gérardin & Mathieu Gardrat, 2016. "SILOGUES : SImuler la LOGistique Urbaine dans son environnement Economique et Spatial," Working Papers halshs-01727795, HAL.
    2. Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    3. Renata Lúcia Magalhães de Oliveira & Camila Soares Henrique Fontanele Garcia & Paulo Henrique Góes Pinto, 2020. "Accessibility to Food Retailers: The Case of Belo Horizonte, Brazil," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    4. Gardrat, Mathieu, 2021. "Urban growth and freight transport: From sprawl to distension," Journal of Transport Geography, Elsevier, vol. 91(C).

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