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A case study analysis to examine motorcycle crashes in Bogota,Colombia
Institution:1. Universidad de los Andes, Carrera 1 N° 18A- 12, Edificio Mario Laserna ML, Department of Civil and Environmental Engineering, Bogota, Colombia;2. Universidad de los Andes, Carrera 1 N° 18A- 12, Edificio Mario Laserna ML, Department of Industrial Engineering, Bogota, Colombia;3. Institut Français des Sciences et Technologies des Transports, de l''Aménagement et des Réseaux IFSTTAR, Laboratoire Mécanismes d´accidents, Chemin de la Croix Blanche, 13300, Salon-de-Provence, France;1. Department of Civil Engineering, The University of Akron, 244 Sumner Street, Akron, OH 44325-3905, USA;2. Department of Civil Engineering, The University of Akron, 244 Sumner Street, Auburn Science and Engineering Center Room 210, Akron, OH 44325-3905, USA;3. Department of Civil Engineering, Wayne State University, 5050 Anthony Wayne Drive, Engineering Development Center Room 0504, Detroit, MI 48202, USA;1. General Manager, National Highways Authority of India, G-5 & 6, Sector-10, Dwarka, New Delhi-110075, India;2. Professor, Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi-110016, India
Abstract:IntroductionContributory factors to motorcycle crashes vary among populations depending on several aspects such as the users' profiles, the composition and density of traffic, and the infrastructure features. A better understanding of local motorcycle crashes can be reached in those places where a comprehensive analysis is performed. This paper presents the results obtained from a case study analysis of 400 police records of accidents involving motorcycles in Bogota.MethodTo achieve a deeper level of understanding of how these accidents occur, we propose a systemic approach that uses available crash data. The methodology is inspired by accident prototypical scenarios, a tool for analysis developed in France.ResultsWhen grouping cases we identified three categories: solo motorcycle accidents, motorcyclist and pedestrian accidents, and accidents involving a motorcycle and another vehicle. Within these categories we undertook in-depth analyses of 32 groups of accidents obtaining valuable information to better comprehend motorcyclists' road crashes in a local context. Recurrent contributory factors in the groups of accidents include: inexperienced motorcyclists, wide urban roads that incite speeding and risky overtaking maneuvers, flowing urban roads that encourage high speed and increased interaction between vehicles, and lack of infrastructure maintenance.Practical ApplicationsThe results obtained are a valuable asset to define measures that will be conveniently adapted to the group of accident on which we want to act. The methodology exposed in this paper is applicable to the study of road crashes that involve all types of actors, not only the motorcyclists, and in contexts different than those presented in Bogota.
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