Identifying urban features for vulnerable road user safety in Europe

نویسندگان

چکیده

Abstract One of the targets UN Sustainable Development Goals is to substantially reduce number global deaths and injuries from road traffic collisions. To this aim, European cities adopted various urban mobility policies, which has led a heterogeneous across Europe. Monitoring discrepancies in understanding most efficient policies are keys achieve objectives Vision Zero, multi-national safety project that aims at zero fatalities or serious linked traffic. Here, we identify features determinants vulnerable user through analysis inter-mode collision data cities. We first build up set crashes their participants 24 5 countries, using widely recommended KSI indicator (killed seriously injured individuals) as performance metric. Modelling casualty matrices including infrastructure characteristics modal share distribution different cities, observe with highest rates walking cycling shares safest for users. Instead, higher presence low-speed limited roads seems only significantly car occupants. Our results suggest aimed increasing key improve all

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ژورنال

عنوان ژورنال: EPJ Data Science

سال: 2022

ISSN: ['2193-1127']

DOI: https://doi.org/10.1140/epjds/s13688-022-00339-5