La place des modèles de trafic dans les récentes modélisations des impacts environnementaux des transports. Importance de l’explicitation des méthodes et hypothèses

The authors present a recent development in the use of classic travel demand models (TDMs) to environmental impact assessment of transport, far from its initial target. By comparing previous cases found in the literature (Chester, Seoul, Florence, Brisbane and Saint-Etienne) with their present works (Eval-PDU in Nantes), the authors notice that their predecessors tend to be evasive on their use of TDM. Hence, traffic data are little discussed in these works, while their works constitute one of the main stakes in this kind of study. Indeed, the hypotheses for traffic modeling are impacting the next steps of the modeling chain (pollutants emission/dispersion). The importance of this first modeling stage implies that relevant attention has to be brought to their assumptions and input data.     

Système d'aide à l'étude de la sécurité routière Vers des outils hydribes,ouverts et intelligents

The objective of this paper is to present the results of a survey of the literature on computer-based systems in road safety analysis. This study was motivated by the needs of road safety analysts and the designers of computer-based tools for use in this area. The literature gave examples where the computerization of several road safety functions is either proposed, undergoing development or actually complete. Furthermore, these functions have been associated with different types of technological orientations. However, some problems still remain to be solved in order to obtain reliable systems with accurate and complete data which integrate the expert knowledge which is needed to analyze and evaluate road safety. The proposed solutions are evolving and this survey suggests that tools in this domain should be hybrid, open and intelligent.     

Différences de sexe et rôle de l’internalisation des règles sur la propension des enfants à prendre des risques à vélo

The objective of this study is to explore gender differences and effect of internalization of traffic rules on children’s propensity to take risks as cyclists. Risk perception, internalization of traffic rules, and self-reported risk-taking propensity as cyclist were measured in a questionnaire among 145 children (86 boys and 59 girls) aged 9 to 12. The results show gender differences in cycling rules internalization, risk perception, and risk-taking propensity as cyclist. Furthermore, the results show that internalizing traffic rules is a better predictor than biological sex of the propensity to take risks as cyclist.     

Mobilité et accès à la voiture chez les personnes âgées: Évolutions actuelles et enjeux

In France, and in most other industrialised countries, demographic ageing means that in the next decades there will be a rise among the elderly in vehicle ownership and driving for daily trips, long distance travel and leisure trips. This paper demonstrates the existence of these trends by drawing on a variety of statistical sources — National Transport and Communication Surveys, Urban Household Travel Surveys (Lyon) and surveys on French holiday practices. We nevertheless demonstrate that this structural change exhibits a high degree of differentiation with regard to gender, household income, place of residence and state of health. This change, which increases car use, is expected to continue during the next few years, especially among elderly women. Long term changes in lifestyles encourage the view that in the future people will cease to drive at a more advanced age. The increase in car use has important long-term implications in two areas. On the one hand it will affect road safety, on the other hand it raises the issues of the sustainability of mobility and the obligation to meet the needs of persons who are no longer able to drive.     

Modèles linéaires généralisés appliqués à l'étude des nombres d'accidents sur des sites routiers: Le modèle de Poisson et ses extensions

Models that link accident frequencies at road sites with traffic volumes and road characteristics provide reference values which are of value when carrying out diagnostic studies and deciding on preventive measures. Such models can be developed using generalized linear modelling techniques, which are able to take account of the Poisson properties of accident frequencies at road sites. The Poisson models obtained for road sites are frequently everdispersed, so extended forms of the Poisson model (quasi-Poisson, negative binomial a high percentage of the studied sites, in which case zero-inflated models also have to be considered. This paper presents an overview of these methods which are illustrated by modelling the relationship between accident frequency site characteristics and traffic volume on a large sample of bends.     

Entre marche et métro, les mouvements intra-urbains des touristes sous le prisme de l’? adhérence ? à Paris et en ?le-de-France

The urban movement of tourists remains largely unknown, but the mobility of tourists contributes to the metropolitan process. Around the notion of ??adherence??, this article demonstrates how, in the Paris metropole, tourists rely mainly on walking and the use of the tube to travel within the city. The structurally different characteristics of walking and the use of the tube represent a theoretical opposition between the two types of movements that are differently ??adherent?? to the city. However, these mobilities complement each other. Indeed, the partial disconnection of the tube is addressed by the direct connection and proximity to the city allowed by the pedestrian means.     

Proximité aux infrastructures et croissance de l’emploi en ?le-de-France (1993–2008) : le r?le des transports à l’échelle intramétropolitaine

This article aims to analyze the role of proximity to transport infrastructures in employment growth within 291 municipalities located in the ?le-de-France region between 1993 and 2008. Based on the employment data from Unistatis, a multiple regression econometric model is estimated, first without variables describing proximity to infrastructure, and then integrating them in order to measure the gain in explanatory power. The results suggest that the role of infrastructure in employment growth rate is limited and varies according to economic sectors and network types.