Abstract
More than one accident of three that involve pedestrians in urban area occurs at road intersections. The users’ inproper behaviour, the geometrical characteristics of the intersections, and the high speeds of vehicles are the main causes of pedestrian accidents. In this field, the procedures of road safety analysis (Road Safety Audit and Road Safety Review) play a fundamental role: they are the techniques of investigation aimed at identifying the safety issues and the possible improvements. Nowadays, however, the safety analysis does not allow a quantitative assessment of the level of safety regarding pedestrians. The objective of this work, is to propose a procedure for the quantitative risk analysis. The first phase of the study has been oriented to the definition of the virtual schemes associated with the possible configurations for unsignalized intersections in urban areas, predominantly characterized by local roads. The urban areas in which the residential function prevails, while it is poorly available in the circulation function, were considered then. The criteria, aimed at the characterization of the level of safety, offered to pedestrians by the real urban intersections, have been developed in the second phase. For this purpose, three categories of information have been useful: 1) the data describing the geometry characteristic of the intersection; 2) the geometric characteristic of road elements responsible of the functional pedestrian protection; 3) vehicular and pedestrian traffic data.
Highlights
The problem related to the accidents involving pedestrians is widespread all over the world
The procedures of road safety analysis (Road Safety Audit and Road Safety Review) play a fundamental role: they are the techniques of investigation aimed at identifying the safety issues and the possible improvements
Many studies are based on statistical analysis of pedestrian accident data, in order to identify the causes of accidents and, provide countermeasures
Summary
The problem related to the accidents involving pedestrians is widespread all over the world. Using various techniques of statistical analysis (Bayesian Multivariate Poisson Regression, Log-Normal Regressions, Binary Logistic Regression, etc.), it has been possible to define the main variables that affect the occurrence of accidents between vehicles and pedestrians, both, in urban and in suburban area (Clifton et al 2009; Ha, Thill 2011; Luoma, Peltola 2013; Moudon et al 2011; Siddiqui et al 2012) This has allowed the researchers to propose solutions to improve pedestrians’ safety both, through infrastructure design and through other strategies for improvement.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
