title: The influence of the infrastructure characteristics in urban road accidents occurrence.
abstract: This paper summarizes the result of a study regarding the creation of tools that can be used in intervention methods in the planning and management of urban road networks in Portugal. The first tool relates the creation of a geocoded database of road accidents occurred in Lisbon between 2004 and 2007, which allowed the definition of digital maps, with the possibility of a wide range of consultations and crossing of information. The second tool concerns the development of models to estimate the frequency of accidents on urban networks, according to different desegregations: road element (intersections and segments); type of accident (accidents with and without pedestrians); and inclusion of explanatory variables related to the road environment. Several methods were used to assess the goodness of fit of the developed models, allowing more robust conclusions. This work aims to contribute to the scientific knowledge of accidents phenomenon in Portugal, with detailed and accurate information on the factors affecting its occurrence. This allows to explicitly include safety aspects in planning and road management tasks.
authors.affiliation: National Laboratory of Civil Engineering, Transportation Department, Portugal. Electronic address: sandravieira@lnec.pt.
authors.forename: Sandra
authors.initials: S
authors.lastname: Vieira Gomes
mesh_terms: D000056:Accident Prevention / Q000379:methods*; D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data; D016010:Binomial Distribution; D002958:City Planning / Q000379:methods*; D016208:Databases, Factual; D004779:Environment Design / Q000706:statistics & numerical data; D040362:Geographic Information Systems; D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008962:Models, Theoretical; D011174:Portugal
keywords: Accident prediction models; GIS; Generalized linear modelling; Road accidents; Urban intersections; Urban segments