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Impacts of built environment and emerging green technologies on daily transportation greenhouse gas emissions in Quebec cities: a disaggregate modeling approach

机译:建筑环境与新兴绿色技术对魁北克城市日报运输温室气体排放的影响:解调建模方法

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This paper aims at investigating the impact of the built environment (BE) and emerging technologies on household level, transport-related greenhouse gas emissions (GHGs). Trip-level GHG emissions are estimated combining origin-destination (OD) survey, vehicle fleet and transit ridership data. A simultaneous equation model framework is then implemented to investigate the link between the BE, socio-demographics, and transport-related GHGs. The effect of fuel efficiency scenarios on the bus and motor-vehicle fleet is determined and investigated using an econometric approach that takes into account residential self-selection. Also, the potential impact of emerging green technologies (introduction of hybrid buses and fuel efficient cars) is determined and compared to those relating to BE initiatives in the different cities. Our findings are consistent with the literature. More specifically we have found that built environment (BE) attributes have a statistically significant effect on GHG emissions. For instance, a 10% increase in population density will result in 3.5%, 1.5% and 1.4% reduction in Montreal, Quebec and Sherbrooke, respectively. Also, household GHGs are importantly associated with socio-demographic characteristics such as number of full-time and part-time workers, income, presence of retirees and children with positives and negative effects. . Moreover, average GHGs and elasticities among neighborhoods are much greater than those observed across cities. This highlights the importance of neighborhood impacts by combined BE indicators. In terms of the technological impacts, it is found that by replacing the transit fleet by electric trains and hybrid buses in Montreal, the share of transit GHGs would decrease by 32%; however, this reduction will be marginal in the overall emissions – a similar situation is observed in the other two cities. With respect to the private motor-vehicle fleet, if current fuel efficiency trends persist, the constant improvement of car fuel consumption economy would reduce GHGs by 7% (Montreal), 5% (Quebec City) and 8% (Sherbrooke) by the year 2020. According to our results, the only the combined effect of BE strategies and private-motor vehicle technological changes would have significant reductions on emissions in the short term.
机译:本文旨在调查建筑环境(BE)和新兴技术对家庭水平,与运输相关的温室气体排放(GHGS)的影响。估计跳闸级温室气体排放组合源地 - 目的地(OD)调查,车辆舰队和过境乘坐数据。然后实施一个同时等式模型框架以研究BE,社会人口统计学和运输相关的温室之间的联系。使用经济学方法确定并调查了总线和电机车队对总线和电机车队的燃料效率场景的影响。此外,确定了新兴绿色技术的潜在影响(引入混合公交车和省油汽车),并与不同城市中的举措有关的影响。我们的研究结果与文献一致。更具体地说,我们发现建筑环境(BE)属性对温室气体排放具有统计上显着的影响。例如,人口密度增加10%,分别降低了3.5%,1.5%和1.4%,分别降低了蒙特利尔,魁北克和谢砜。此外,家庭温室气体与社会人口统计特征有关,如全日制和兼职工作人员,收入,退休人员和儿童的存在数量和阳性和负面影响的社会人口统计。 。此外,邻里的平均温室气体和弹性远远大于城市观察到的温室气体。这突出了邻里影响的重要性成为指标。就技术影响而言,发现通过蒙特利尔的电动火车和混合动力公共汽车取代过境舰队,运输温室气体的份额将减少32%;然而,这种减少将在整体排放中的边缘 - 在其他两个城市中观察到类似的情况。关于私人汽车车队,如果目前的燃油效率趋势持续存在,汽车燃料消费经济的不断提高将使每年减少7%(蒙特利尔),5%(魁北克市)和8%(舍伯克)的温室气体2020.根据我们的结果,唯一的策略和私人机动车技术变化的唯一综合效应将在短期内对排放量大减少。

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