School of Transportation, Southeast University, Nanjing 210096, China.
Int J Environ Res Public Health. 2021 Feb 8;18(4):1594. doi: 10.3390/ijerph18041594.
In order to effectively control carbon dioxide emissions of motorized vehicles, it is very important to measure their carbon dioxide emission factors. The objective of this paper was to develop measurement models for the carbon dioxide emission factors of passenger cars. Road systems of downtown areas of four typical Chinese counties were explored and 12 types of basic road networks were recognized and defined. With PTV Vissim, microscopic traffic simulation models were set up for every type of basic road network, average speeds of the simulated cars were collected, and carbon dioxide emissions were calculated using MOVES (Motor Vehicle Emission Simulator) software. For model development, the paper put forth two compound explanatory variables: the weighted average of segment lengths and the sum of critical ratios of volume to saturation flow rate. Six functional relationships for the variables were tested and the double exponential function was proven to be the most appropriate. Finally, for each of the 12 types of basic road networks, a measurement model for carbon dioxide emission factors was calibrated using the double exponential function for the variables. The measurement models can be used to estimate the carbon dioxide emissions of passenger cars concerning potential improvement schemes impacting traffic demand and/or traffic supply.
为了有效控制机动车的二氧化碳排放量,测量其二氧化碳排放因子非常重要。本文旨在为乘用车的二氧化碳排放因子建立测量模型。探讨了中国四个典型县城的市区道路系统,识别并定义了 12 种基本道路网络类型。利用 PTV Vissim 为每种基本道路网络建立微观交通模拟模型,收集模拟汽车的平均速度,并使用 MOVES(机动车排放模拟器)软件计算二氧化碳排放量。为了建立模型,本文提出了两个复合解释变量:路段长度的加权平均值和体积与饱和流量比的总和。测试了六个变量的函数关系,证明双指数函数是最合适的。最后,针对 12 种基本道路网络类型中的每一种,使用双指数函数对变量进行标定,建立了二氧化碳排放因子的测量模型。这些测量模型可用于估算潜在影响交通需求和/或交通供给的改善方案对乘用车二氧化碳排放的影响。