Overview

""DRAG"" (from un modele de la Demande Routiere, des Accidents et leur Gravite) is a complex computer model that simulates accident propensities under detailed conditions. The DRAG approach constitutes the largest road accident modelling effort yet undertaken. Marc Gaudry is the creator and developer of DRAG and this work explains its nature, purpose and value. Such a model, which explains accidents for a whole region, province or country, has advantages in answering many questions asked about accidents (such as the role of the economic cycle, weather, prices, insurance) that other models fail to take fully into account. DRAG research is underpinned by a fundamental theoretical innovation which sees a 3-level approach to analyzing the determinants of the number of road victims in a given accident.

Full Product Details

Author:   Marc J.I. Gaudry ,  Sylvain Lassarre
Publisher:   Emerald Publishing Limited
Imprint:   Pergamon Press
Dimensions:   Width: 15.60cm , Height: 2.20cm , Length: 23.40cm
Weight:   0.698kg
ISBN:  

9780080430614

ISBN 10:   0080430619
Pages:   370
Publication Date:   17 November 2000
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Part and chapter headings: National and Regional Models. Multiple Levels, Damages, Forms, Movements and Variables in Road Accident Models (M. Gaudry).  The DRAG-2 Model for Quebec (F. Fournier, R. Simard).  The SNUS-2.5 Model for Germany (U. Blum, M. Gaudry).  The TRULS-1 Model for Norway (L. Fridstrom).  The DRAG-Stockholm-2 Model (G. Tegner et al.).  The TAG-1 Model for France (L. Jaeger, S. Lassarre).  The TRACS-CA Model for California (P. McCarthy).  Comparing Six DRAG-Type Models (N. Chambron).  Other Models and Issues. The Road, Risk, Uncertainty and Speed (M. Gaudry, K. Vernier).  The RES Model by Road Type in France (R. Bergel, B. Girard).  PostFACE and Perspectives (S. Lassarre).  Algorithms and Detailed Model Outputs. TRIO Level-1.5 Algorithm for BC-GAUHESEQ Regression (T. Liem et al.).  The IRPOSKML Procedure of Estimation (L. Fridstrom).  Appendix 1. Detailed Model Outputs (M. Gaudry, S. Lassarre).

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