首页> 外文会议>International Conference CODATU Ⅸ, Apr 11-14, 2000, Mexico City, Mexico >Forecasting pollutant emissions by automobiles in three large metropolitan areas: Sao Paulo, Montreal and Paris
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Forecasting pollutant emissions by automobiles in three large metropolitan areas: Sao Paulo, Montreal and Paris

机译:预测三个大都市区的汽车污染物排放:圣保罗,蒙特利尔和巴黎

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The paper compares the impact of the private car on atmospheric pollution in Sao Paulo,. Paris and Montreal, cities which contrast by their size, their level of economic development, their rate of growth and their urban form. In the three case studies the same methodology is applied to estimate the evolution of the car fleet and of traffic. The data used come from O-D surveys realized between 1973 and 1997 and the projections at the horizon 2020 are made with a demographic based model. The results show that the traffic grows slighlty more than the car fleet in Sao Paulo and Paris, and much more rapidly in Montreal. Thus, in spite of important differences in population size, the absolute growth in vehicules-km is similar in the three urban regions. However, while this growth is generated mainly by the inhabitants of the the outer suburbs in the two urban regions of the North, in the case of Sao Paulo it is comes from the central city. The technical characteristics of the fleet differ (gasohol in Brazil, diesel in France, gasoline in Montreal) but these differences will tend to disappear with the introduction of anti-pollution legislations. The three case studies share common trends, but the local effects of traffic on air quality appear more severe in Sao Paulo due to its concentration in the central city.
机译:本文比较了圣保罗私家车对大气污染的影响。巴黎和蒙特利尔的城市在规模,经济发展水平,增长率和城市形态方面形成鲜明对比。在这三个案例研究中,使用相同的方法来估计车队和交通的演变。所使用的数据来自1973年至1997年之间进行的O-D调查,而2020年的展望是使用基于人口统计学的模型进行的。结果表明,交通流量的增长速度比圣保罗和巴黎的车队要快得多,而在蒙特利尔则要快得多。因此,尽管人口规模存在重大差异,但在三个城市地区,车辆公里数的绝对增长均相似。但是,尽管这种增长主要是由北部两个城市地区的外郊区居民产生的,但在圣保罗的情况下,它却来自中心城市。车队的技术特征各不相同(巴西的汽油,法国的柴油,蒙特利尔的汽油),但随着引入反污染法规,这些差异将趋于消失。这三个案例研究具有共同的趋势,但是交通流量对空气质量的局部影响在圣保罗由于集中在市中心而显得更为严重。

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