State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China; Center for ITS and UAV Applications Research, Shanghai Jiao Tong University, Shanghai 200240, China.
Center for ITS and UAV Applications Research, Shanghai Jiao Tong University, Shanghai 200240, China.
Sci Total Environ. 2017 Dec 1;599-600:944-951. doi: 10.1016/j.scitotenv.2017.04.186. Epub 2017 May 11.
Comprehensive analyses of urban traffic carbon emissions are critical in achieving low-carbon transportation. This paper started from the architecture design of a carbon emission mobile monitoring system using multiple sets of equipment and collected the corresponding data about traffic flow, meteorological conditions, vehicular carbon emissions and driving characteristics on typical roads in Shanghai and Wuxi, Jiangsu province. Based on these data, the emission model MOVES was calibrated and used with various sensitivity and correlation evaluation indices to analyze the traffic carbon emissions at microscopic, mesoscopic and macroscopic levels, respectively. The major factors that influence urban traffic carbon emissions were investigated, so that emission factors of CO, CO and HC were calculated by taking representative passenger cars as a case study. As a result, the urban traffic carbon emissions were assessed quantitatively, and the total amounts of CO, CO and HC emission from passenger cars in Shanghai were estimated as 76.95kt, 8271.91kt, and 2.13kt, respectively. Arterial roads were found as the primary line source, accounting for 50.49% carbon emissions. In additional to the overall major factors identified, the mobile monitoring system and carbon emission quantification method proposed in this study are of rather guiding significance for the further urban low-carbon transportation development.
综合分析城市交通碳排放对实现低碳交通至关重要。本文从使用多套设备的碳排放移动监测系统的架构设计出发，在上海和江苏无锡的典型道路上收集了相应的交通流量、气象条件、车辆碳排放和驾驶特性数据。基于这些数据，对 MOVES 排放模型进行了校准，并使用各种灵敏度和相关性评估指标，分别从微观、中观和宏观层面分析了交通碳排放。研究了影响城市交通碳排放的主要因素，从而以代表性乘用车为例计算了 CO、CO 和 HC 的排放因子。定量评估了城市交通碳排放，估算了上海乘用车 CO、CO 和 HC 的排放量分别为 76.95kt、8271.91kt 和 2.13kt。干线道路是主要的线源，占碳排放的 50.49%。除了确定的总体主要因素外，本研究提出的移动监测系统和碳排放量化方法对进一步的城市低碳交通发展具有重要的指导意义。
