Li Xiao-Yu, Wu Lin, Zou Chao, Zhang Yi, Mao Hong-Jun, Jing Bo-Yu
College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin 300191, China.
Huan Jing Ke Xue. 2017 Apr 8;38(4):1340-1347. doi: 10.13227/j.hjkx.201608065.
The vehicle emissions were estimated by the Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System (hereinafter referred to as the HTSVE system) with the real-time data including traffic flow, average speed and fleet compositions obtained from Radio Frequency Identification (RFID) and emission factors based on COPERT. The study focused on the characteristics of vehicle emissions by means of non-parametric test and cluster analysis with ArcGIS in artery roads and collector roads in Nanjing, 2014. The result showed that the proportion of passenger cars reached up to 80%, and China 3 and China 4 accounted for over 90% while China 3 contributed most. The daily average emissions in special periods including morning, noon and evening were affected by both road types and weekend effect. The artery and collector roads were classified as 5 clusters. Each type had similar emission rates distribution and was affected by spatial position to support traffic management.
