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Estimated Data Production for Urban Goods Transport Diagnosis

The Freturb Methodology

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Sustainable Urban Logistics: Concepts, Methods and Information Systems

Part of the book series: EcoProduction ((ECOPROD))

Abstract

Nowadays, it is crucial to obtain sound data for establishing diagnoses of urban goods movements (UGM). Since surveys are usually difficult to implement and become very expensive when large amounts of detailed data are required, they are not systematically carried out in various cities around the world. Moreover, unlike individual mobility, public authorities generally do not supervise urban goods transport as they depend essentially on the private sector. The research proposed here focuses on a framework for simulating data production using standard inputs that can be obtained by public authorities (and private stakeholders), in order to estimate the impacts of urban goods transport in the light of current practices, i.e. to make a diagnosis of urban logistics in current configurations. The joint process of collecting data and modelling is described after which the different modules and applications are presented.

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Notes

  1. 1.

    Allen et al. (2013) and Holguin-Veras and Jaller (2013).

  2. 2.

    This statement was made by a PTV engineer at the First Commercial/Goods Transport Conference in Berlin at the beginning of 2012.

  3. 3.

    Concerning inter-establishment movements: Aubert and Routhier (1999); Routhier and Toilier (2007); Bonnafous et al. (2013). For end-consumers’ movements: Ségalou (1999); Routhier et al. (2001); Gonzalez-Feliu et al. (2010a, b, 2012a, b). The environmental module has been presented in Ségalou et al. (2004) and Toilier et al. (2005).

  4. 4.

    All ratios are extracted from Routhier et al. (2001).

  5. 5.

    Road occupancy rates are in general estimated in Private Car Units (PCU): 1 private car = 1 PCU; 1 light goods vehicle = 1.5 PCU; 1 medium truck = 2 PCU; 1 heavy truck = 2.5 PCU.

  6. 6.

    NACE: Statistical list of economic activities in the European Community.

  7. 7.

    Full truckload.

  8. 8.

    Less than truckload.

  9. 9.

    According to a statistical extraction on the same data sample.

  10. 10.

    HV : Heavy vehicles.

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Acknowledgments

This synthesis was partially funded by the PREDIT Project (French Ministry of Sustainability, research program on land transport) no. 12-MT-PREDIT04-6-CVS-036: SILOGUES Simuler la LOGistique Urbaine dans son Environnement économique et Spatial, or Simulation of Urban Logistics in its Economic and Spatial Environment). The authors would also like to thank all the people involved in the different phases of FRETURB’s development: A. Bonnafous, P.L. Aubert, E. Ségalou, L. Alligier, S. Durand, B. Gérardin, P. Zuccarello, P. Pluvinet, M. Serouge, M. Gardrat, F. Henriot, T.Y. Ma, D. Patier and C. Raux, as well as other members and former members of LET that provided suggestions and comments to improve the model and the present chapter.

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Authors and Affiliations

  1. Laboratoire d’Economie des Transports, ISH, 14 Avenue Berthelot, Lyon, France

    Jesus Gonzalez-Feliu, Christian Ambrosini & Jean-Louis Routhier

  2. Laboratoire d’Economie des Transports, ENTPE, Rue Maurice Audin, Vaulx-en-Velin, France

    Florence Toilier

Authors
  1. Jesus Gonzalez-Feliu
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  2. Florence Toilier
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  3. Christian Ambrosini
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  4. Jean-Louis Routhier
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Correspondence to Jesus Gonzalez-Feliu .

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Editors and Affiliations

  1. Research Engineer, Transport Economics Laboratory, Lyon CEDEX 07, France

    Jesus Gonzalez-Feliu

  2. Central School of Lille Av. Paul Languev, Villeneuve d'Ascq, France

    Frédéric Semet

  3. Research Engineer, Transport Economics Laboratory, Lyon CEDEX 07, France

    Jean-Louis Routhier

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Gonzalez-Feliu, J., Toilier, F., Ambrosini, C., Routhier, JL. (2014). Estimated Data Production for Urban Goods Transport Diagnosis. In: Gonzalez-Feliu, J., Semet, F., Routhier, JL. (eds) Sustainable Urban Logistics: Concepts, Methods and Information Systems. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31788-0_7

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