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Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk
Authors:Marc Gaudry  Matthieu de Lapparent
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
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.
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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