Simulating the structure and localization of activities for decision making and freight modeling: the SIMETAB model

Mathieu Gardrat (), Marc Serouge, Florence Toilier () and Jesus Gonzalez-Feliu ()
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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

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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 the inputs needed by many urban goods simulation models. The proposed model aims at understanding the economic structure of the 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 the decision makers to project an alteration of the urban framework in the future, from basic data such as population and employment statistics.

Keywords: Urban modeling; urban typology; urban goods movements (search for similar items in EconPapers)
Date: 2013-06-17
New Economics Papers: this item is included in nep-cmp and nep-ure
Note: View the original document on HAL open archive server: https://hal.science/hal-00845063
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Published in 8th International Conference on City Logistics, Jun 2013, Bali, Indonesia. pp.153-164, ⟨10.1016/j.sbspro.2014.01.1463⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00845063

DOI: 10.1016/j.sbspro.2014.01.1463

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