title: Assessment of Co-benefits of vehicle emission reduction measures for 2015-2020 in the Pearl River Delta region, China.
abstract: Vehicle emissions have become one of the key factors affecting the urban air quality and climate change in the Pearl River Delta (PRD) region, so it is important to design policies of emission reduction based on quantitative Co-benefits for air pollutants and greenhouse gas (GHG). Emissions of air pollutants and GHG by 2020 was predicted firstly based on the no-control scenario, and five vehicle emissions reduction scenarios were designed in view of the economy, technology and policy, whose emissions reduction were calculated. Then Co-benefits between air pollutants and GHG were quantitatively analyzed by the methods of coordinate system and cross-elasticity. Results show that the emissions reduction effects and the Co-benefits of different measures vary greatly in 2015-2020. If no control scheme was applied, most air pollutants and GHG would increase substantially by 20-64% by 2020, with the exception of CO, VOC and PM2.5. Different control measures had different reduction effects for single air pollutant and GHG. The worst reduction measure was Eliminating Motorcycles with average reducing rate 0.09% for air pollutants and GHG, while the rate from Updated Emission Standard was 41.74%. Eliminating Yellow-label Vehicle scenario had an obvious reduction effect for every single pollutant in the earlier years, but Co-benefits would descent to zero in later by 2020. From the perspective of emission reductions and co-control effect, Updated Emission Standard scenario was best for reducing air pollutants and GHG substantially (tanα=1.43 and Els=1.77).
authors.affiliation: School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China. Electronic address: liu_its@163.com.
authors.forename: Yong-Hong
authors.initials: YH
authors.lastname: Liu
authors.affiliation: School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China.
authors.forename: Wen-Yuan
authors.initials: WY
authors.lastname: Liao
authors.affiliation: School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China.
authors.forename: Xiao-Fang
authors.initials: XF
authors.lastname: Lin
authors.affiliation: School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China.
authors.forename: Li
authors.initials: L
authors.lastname: Li
authors.affiliation: School of Engineering, Sun Yat-Sen University, Guangzhou 510275, China; Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China.
authors.forename: Xue-Lan
authors.initials: XL
authors.lastname: Zeng
mesh_terms: D000393:Air Pollutants / Q000032:analysis; D002681:China; D057231:Climate Change; D017752:Greenhouse Effect; D015397:Program Evaluation; D045483:Rivers; D001335:Vehicle Emissions / Q000032:analysis / Q000331:legislation & jurisprudence
chemical_list: D000393:Air Pollutants; D001335:Vehicle Emissions
keywords: Co-benefits analysis; PRD region; Scenario design; Transportation sector