Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk |
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Authors: | Marc Gaudry Matthieu de Lapparent |
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Affiliation: | 1. Agora Jules Dupuit (AJD), Université de Montréal, Montréal, Canada;2. Institut Français des Sciences et Technologies des Transports, de l''Aménagement et des Réseaux (IFSTTAR), Université Paris-Est, Noisy-le-Grand, France |
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Abstract: | The second part of the state-of-the-art focuses on the development of the founders' double streams explaining single-outcome indicators (probability of accidents and fatalities, respectively) by fixed form regression, as outlined in the Part 1. Following Page (1997, pp. 67–122, 2001) and others, we use as turning point of the evolution of both aggregate and discrete approaches the DRAG-1 model of 1984, itself based on aggregate data, which introduced four key innovations in principle applicable to both streams. |
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Keywords: | DRAG road accident model innovations Decomposition of road damages among exposure, frequency and severity dimensions or risks Endogeneity of driver behavior Box&ndash Cox forms and unconditional regression signs Road safety outcomes as a demand system Multivariate formulations Time horizon of adjustment Survey of aggregate model development Single-outcome Single-region models Multiple-outcome Multiple-region models Survey of discrete model development Aggregation from individual to population values |
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