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Uncertainties of Domestic Road Freight Statistics: Insights for Regional Material Flow Studies

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  • Jean‐Yves Courtonne
  • Pierre‐Yves Longaretti
  • Denis Dupré

Abstract

Freight statistics are at the core of many studies in the field of industrial ecology because they depict the physical interdependencies of territories and allow links to be made worldwide between production and consumption. Recent studies have focused increasingly on subnational scales, often relying on domestic freight data. In this perspective, this article analyses the uncertainties of the French domestic road freight survey, road being by far the most common mode of transport in the country. Based on a statistical analysis of the survey, we propose a model to estimate the uncertainty of any given domestic road transport flow. We also assess uncertainty reduction when averaging the flows over several years, and obtain for instance a 30% reduction for a three‐year average. We then study the impact of the uncertainties on regional material flow studies such as the economy‐wide material flow analysis of the Bourgogne region. Overall the case studies advocate for a systematic assessment of freight uncertainties, as neither the disaggregation level nor the quantities traded are good enough predictors. This justifies the need for an easy‐to‐implement estimation model. Finally, basic comparison with the German and Swedish surveys tends to indicate that the main conclusions presented in this article are likely to be valid in other European countries.

Suggested Citation

  • Jean‐Yves Courtonne & Pierre‐Yves Longaretti & Denis Dupré, 2018. "Uncertainties of Domestic Road Freight Statistics: Insights for Regional Material Flow Studies," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1189-1201, October.
  • Handle: RePEc:bla:inecol:v:22:y:2018:i:5:p:1189-1201
    DOI: 10.1111/jiec.12651
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    References listed on IDEAS

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    1. Jean-Yves Courtonne & Julien Alapetite & Pierre-Yves Longaretti & Denis Dupré & Emmanuel Prados, 2015. "Downscaling material flow analysis: the case of the cereals supply chain in France," Working Papers hal-01142357, HAL.
    2. Kastner, Thomas & Kastner, Michael & Nonhebel, Sanderine, 2011. "Tracing distant environmental impacts of agricultural products from a consumer perspective," Ecological Economics, Elsevier, vol. 70(6), pages 1032-1040, April.
    3. David Laner & Helmut Rechberger & Thomas Astrup, 2014. "Systematic Evaluation of Uncertainty in Material Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 18(6), pages 859-870, December.
    4. Jean-Yves Courtonne & Julien Alapetite & Pierre-Yves Longaretti & Denis Dupre, 2015. "Downscaling material flow analysis: the case of the cereal supply chain in France," Post-Print halshs-01321742, HAL.
    5. Helmut Rechberger & Oliver Cencic & Rudolf Frühwirth, 2014. "Uncertainty in Material Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 18(2), pages 159-160, April.
    6. Courtonne, Jean-Yves & Alapetite, Julien & Longaretti, Pierre-Yves & Dupré, Denis & Prados, Emmanuel, 2015. "Downscaling material flow analysis: The case of the cereal supply chain in France," Ecological Economics, Elsevier, vol. 118(C), pages 67-80.
    7. Binder, Claudia R. & Hofer, Christoph & Wiek, Arnim & Scholz, Roland W., 2004. "Transition towards improved regional wood flows by integrating material flux analysis and agent analysis: the case of Appenzell Ausserrhoden, Switzerland," Ecological Economics, Elsevier, vol. 49(1), pages 1-17, May.
    8. João Patrício & Yuliya Kalmykova & Leonardo Rosado & Vera Lisovskaja, 2015. "Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 837-852, October.
    9. Jean-Yves Courtonne & Pierre-Yves Longaretti & Julien Alapetite & Denis Dupré, 2016. "Environmental Pressures Embodied in the French Cereals Supply Chain," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 423-434, June.
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    1. Minghao Xu & Dingjiang Chen & Yadong Yu & Zengbo Chen & Yupeng Zhang & Bomin Liu & Yike Fu & Bing Zhu, 2021. "Assessing resource consumption at the subnational level: A novel accounting method based on provincial selected material consumption," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 580-592, June.

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