This study examines road risks among residents of deprived neighbourhoods targeted by social policy compared with residents of other contiguous neighbourhoods that are socially more privileged. The data used are from accident reports filled in by the police. When these data are brought to the level of the population in the areas studied, the adjusted relative risk for those living in sensitive urban areas compared with those living in other areas is assessed at 1.366 (with a 95% confidence interval from 1.240 to 1.502). Distributions by age and gender are then studied. In the discussion, several hypotheses concerning behaviour, mobility and socio-spatial factors are discussed.

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Despite many efforts to prevent traffic accidents, road accident statistics remain a cause of concern throughout the world. After analyzing the possible reasons for this in France, this study seeks to extend the issue of Road Safety to that of a global territorial issue which responds to the characteristics of a complex spatialized system. The methodology used in the ANR CRITERION program merges both interdisciplinary and multistakeholder objectives based on an information system that combines approaches formalized by scientists and experts in the field. This methodology combines them by comparing the representations structured around explicit data models and the more empirical concepts expressed by technical experts in charge of local public action. The tool provides a user-friendly mapping formulation of the opinions and conclusions of the partners highlighting the possible correlations between forms and characteristics of the area, road safety measures, accidents and the infrastructure observed in the field. It makes it possible to identify, spatialize, qualify and compare the areas to be processed. This application seeks to elevate the road safety issue and place it among the strategic concerns of territorial management, beyond its current and still minor involvement in urban development plans Keywords- .Road risk, road safety, modeling complex systems, GIS, land management, participatory research

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