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DRAG-ALZ-1, a first model of monthly total road demand, accident frequency, severity and victims by category, and of mean speed on highways, Algeria 1970–2007

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  • Gaudry, Marc
  • Himouri, Slimane

Abstract

We construct a first country-wide model of demand for road use and of road safety outcomes for Algeria making use of the DRAG-type framework and of flexible regression estimation methods that make a demonstrable difference to the quality of our results. We imply that the availability of high quality Algerian data could make it worthwhile not only to consider updates of the model with longer data series but also to study variants of the model, notably with disaggregation of freight activities across industrial sectors.

Suggested Citation

  • Gaudry, Marc & Himouri, Slimane, 2013. "DRAG-ALZ-1, a first model of monthly total road demand, accident frequency, severity and victims by category, and of mean speed on highways, Algeria 1970–2007," Research in Transportation Economics, Elsevier, vol. 37(1), pages 66-78.
  • Handle: RePEc:eee:retrec:v:37:y:2013:i:1:p:66-78 DOI: 10.1016/j.retrec.2011.08.010
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    References listed on IDEAS

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    Cited by:

    1. Dadashova, Bahar & Ramírez Arenas, Blanca & McWilliams Mira, José & Izquierdo Aparicio, Francisco, 2014. "Explanatory and prediction power of two macro models. An application to van-involved accidents in Spain," Transport Policy, Elsevier, vol. 32(C), pages 203-217.
    2. Gaudry, Marc & de Lapparent, Matthieu, 2013. "Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk," Research in Transportation Economics, Elsevier, vol. 37(1), pages 20-37.

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