Safety classification using GIS in decision-making process to define priority road interventions |
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| Institution: | 1. Department of Civil Engineering, School of Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal;2. Municipality of Barcelos, Portugal;1. Sol Price School of Public Policy, University of Southern California, USA;2. School of Policy, Government, and International Affairs, George Mason University, USA;1. Applied Economics & Management Research Group, University of Seville, Spain;2. Facultad de Ciencias y Tecnologías Químicas, Universidad de Castilla-La Mancha, Spain;1. Civil Engineering and Built Environment, Science and Engineering Faculty and Centre for Accident Research and Road Safety (CARRS-Q), Faculty of Health, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia;2. Centre for Accident Research and Road Safety (CARRS-Q), Faculty of Health and Civil Engineering and Built Environment, Science and Engineering Faculty, Queensland University of Technology, 130 Victoria Park Road, Kelvin Grove, QLD 4059, Australia;3. The Korea Transport Institute, 2311 Daehwa-dong, IIsanseo-gu, Goyang-si, Gyeonggi-do 411-701, Republic of Korea;1. Dalian University of Technology, Linggong Road No. 2, Ganjingzi District, Dalian, Liaoning, China;2. Delft University of Technology, Jaffalaan 5, 2628 BX Delft, The Netherlands;3. Fudan University, Shanghai, China |
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| Abstract: | Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes. |
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| Keywords: | Priority road interventions GIS Safety classification Road accidents severity Decision-making process |
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