This study illustrates the early results of on-going research started under a recent project sponsored by the United Kingdom Government Transport Department to investigate the principal factors influencing road accidents as well as develop an internet application for the prediction of road accident-related effects at different scales. In particular, accident modelling, analysis of socio–economic, land use, infrastructural and contextual factors of road safety, as well as decision-making support are the focus of this work. In particular, an application in the United Kingdom of a model framework potentially transferable to other contexts is described. This application resulted in an extensive analysis of road safety factors as well as the development of a simulation web-based platform that uses microeconometric models to estimate the frequency of road accident along with the number and severity of injuries. These models proved considerable accuracy at the national level. In the end, the potential benefit of the simulation platform for road safety decision-making is showcased on a micro-scale with an application to a medium-sized town in South East England.
Accident-related cost analysis and decision-making support through econometric modelling
IET Intelligent Transport Systems ; 14 , 12 ; 1573-1581
2020-10-02
9 pages
Article (Journal)
Electronic Resource
English
econometric modelling , Internet , decision-making support , decision making , road traffic , econometrics , microeconomics , injuries , land use , accident modelling , costing , road safety , transportation , road safety decision-making , road accident-related effects , accident-related cost analysis , road safety factors , socio–economic analysis , microeconometric models , simulation Web-based platform , socio-economic effects , United Kingdom Government Transport Department , traffic engineering computing , infrastructural factors , road accidents
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