Telematics data for geospatial and temporal mapping of urban mobility: Fuel consumption, and air pollutant and climate-forcing emissions of passenger cars
Telematics data for geospatial and temporal mapping of urban mobility: Fuel consumption, and air pollutant and climate-forcing emissions of passenger cars
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DOI：
10.1016/j.scitotenv.2023.164940
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发表时间：
2023-06-27
影响因子：
9.8
通讯作者：
Pope, Francis D.
中科院分区：
文献类型：
--
作者：
Ghaffarpasand, Omid;Pope, Francis D.
在这项研究中，我们使用的方法的地理空间和时间（GeoST）映射的城市流动性来评估的速度-时间-加速度剖面（动态状态）的客运汽车。然后，我们使用一个预先开发的模型，车队组成和现实世界的排放因子（EF）数据集，以高空间（15米）和时间（2小时）的分辨率，将车辆动力学状态转化为真实的城市燃料消耗（FC）和详尽的（CO2和NOx）排放。2016年和2018年英国西米德兰兹郡的道路运输是本研究的空间和时间范围。我们的方法可以分析的因素，如道路坡度，非高峰/高峰时间和杂草天/周末的交通环境的特点的影响。结果显示，2016 - 18年，实际城市NOx排放量减少了14%以上。这可归因于欧盟6期车辆的贡献增加了63%，柴油车辆的贡献增加了13%。然而，实际城市FC和CO2 EFs的变化不太显著（+/-2%）。我们发现，在NEDC（国家欧洲驾驶循环）下驾驶的FC估计是评估真实城市FC的合格基准。考虑到道路坡度的作用，估计的实际城市FC，NOx和CO2 EFs分别增加了4.8%，3.9%和3.0%的加权平均值。行驶时间（非高峰/高峰时间或周末/周末）对车辆燃料消耗和相关排放有着深远的影响，在更自由流动的条件下，EFs会增加。
In this study, we use the approach of geospatial and temporal (GeoST) mapping of urban mobility to evaluate the speedtime-acceleration profile (dynamic status) of passenger cars. We then use a pre-developed model, fleet composition and real-world emission factor (EF) datasets to translate vehicles dynamics status into real-urban fuel consumption (FC) and exhaustive (CO2 and NOx) emissions with high spatial (15 m) and temporal (2 h) resolutions. Road transport in the West Midlands, UK, for 2016 and 2018 is the spatial and temporal scope of this study. Our approach enables the analysis of the influence of factors such as road slope, non-rush/rush hour and weed days/weekends effects on the characteristics of the transport environment. The results show that real-urban NOx EFs reduced by more than 14% for 2016-18. This can be attributed to the increasing contribution of Euro 6 vehicles by 63 %, and the increasing contribution of diesel vehicles by 13 %. However, the variations in the real-urban FC and CO2 EFs are less significant (+/- 2 %). We found that the FC estimated for driving under the NEDC (National European Driving Cycle) is a qualified benchmark for evaluating real-urban FCs. Considering the role of road slope increases the estimated real-urban FC, and NOx, and CO2 EFs by a weighted average of 4.8 %, 3.9 %, and 3.0 %, respectively. Time of travel (non-rush/rush hour or weed days/weekends) has a profound effect on vehicle fuel consumption and related emissions, with EFs increasing in more free-flowing conditions.