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International Conference on Computational Science and Its Applications

ICCSA 2014: Computational Science and Its Applications – ICCSA 2014 pp 153–168Cite as

Using Urban Modelling and Geographical Analyses to Tackle Emergent Urban Logistics Issues

Developing a Decision-Making Tool for Urban Goods Distribution

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8582))

Abstract

For the most part, urban goods transportation is neglected by urban studies and urban planning, as opposed to urban passenger transportation. This article will present outcomes of a research project whose goal is to develop an efficient decision-making tool for urban logistics from a spatial and territorial perspective, based on urban modelling and geographical analyses. The hypothesis of this research project is that understanding urban freight through spatial structures will contribute to improving territorial diagnosis, which is essential to the understanding of urban goods distribution issues before any decision can be made and will result in specific and efficient last-mile delivery solutions. This article will describe the methodology of the decision-making tool, and discuss its limitations, inputs and perspectives.

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Author information

Authors and Affiliations

  1. Mines ParisTech, Paris, France

    Raphaëlle Ducret

Authors
  1. Raphaëlle Ducret
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Ducret, R. (2014). Using Urban Modelling and Geographical Analyses to Tackle Emergent Urban Logistics Issues. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-09147-1_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09146-4

  • Online ISBN: 978-3-319-09147-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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