Methodology for characterizing vehicle fleet composition and its territorial variability, needed for assessing Low Emission Zones

被引:9
作者
Andre, Michel [1 ]
Carteret, Marion [2 ]
Pasquier, Anais [1 ]
Liu, Yao [1 ]
机构
[1] IFSTTAR Transports & Environm Lab, Case 24, F-69675 Bron, France
[2] Univ Savoie Mt Blanc, Lab Chim Mol Environm, F-73370 Le Bourget Du Lac, France
来源
WORLD CONFERENCE ON TRANSPORT RESEARCH - WCTR 2016 | 2017年 / 25卷
关键词
Vehicle; fleet; pollutant; emission; spatial variability; mobility survey; video monitoring;
D O I
10.1016/j.trpro.2017.05.174
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
To decrease traffic pollutant emissions, numerous agglomerations envisage measures such as Low Emission Zones allowing only the less polluting vehicles to drive in dedicated areas. However, their implementation and efficiency depend strongly on the local vehicles fleet composition and on its possible variability as regards the areas. The analysis of the Ile-de-France mobility survey and an in-situ observation campaign through video monitoring enabled a detailed characterization of vehicle fleet composition as regards motorizations and emission regulation. These two means of observations demonstrated significant differences with the National fleet composition estimation and important territorial variability, regarding Diesel share and vehicles renewal. "Well-off" territories with less Diesel and more recent vehicles would thus be advantaged as regards air quality and less affected by traffic-restriction measure focused on old and polluting vehicles. Simulation of pollutant emissions demonstrates the sensitivity as regards fleet description. Furthermore the traffic out of the A86 highway (the second ring road around Paris, France), heavy vehicles and cold start represent significant amounts of emissions that would not be decreased by a restriction area. Local fleet specificities and variability are thus important for implementing a Low Emission Zone that would be efficient as regards air pollution and spatially equitable. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:3290 / 3302
页数:13
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