气候变化领域集成服务门户(CCPortal): High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models

CCPortal

DOI	10.1016/j.atmosenv.2019.117136
	High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models
	Ibarra-Espinosa S.; Ynoue R.Y.; Ropkins K.; Zhang X.; de Freitas E.D.
发表日期	2020
ISSN	13522310
卷号	222
英文摘要	Vehicular emissions are one of the most important source of pollution in urban centers, impacting air quality with a deleterious effect on human health and ecosystems. Air quality managers rely on emissions inventories to characterize pollution and sources. In this study we predicted vehicular emissions, using three sources of traffic data: 1) travel demand model outputs consisting of traffic simulations of light-duty vehicles, trucks, 2) and urban buses, and 3) a massive data set of real-time GPS coordinates of light-duty vehicles and trucks. The study area comprises the metropolitan areas of São Paulo, Santos, Vale de Paraíba, Sorocaba, and Campinas, which have a population of more than 30 million inhabitant. Once we generated hourly traffic flows, we used the Vehicular Emissions INventory Model (VEIN) to predict fuel consumption and emissions. Emissions using travel demand model for the metropolitan area of São Paulo are CO 177406 t/y, NOX 73554 t/y, NMHC 33999 t/y and PM2.5 2281 t/y. The emissions using GPS data were higher than using travel demand outputs, because GPS average speeds were lower, producing higher emission factors. © 2020 Elsevier Ltd
英文关键词	Brazil; GPS; Travel demand; Vehicular emissions; VEIN
学科领域	Air quality; Automobiles; Global positioning system; Trucks; Air quality managers; Brazil; Spatial and temporal resolutions; Travel demand; Travel demand modeling; Travel demand models; Vehicular emission; VEIN; Traffic surveys; air quality; data set; emission inventory; fuel consumption; GPS; health impact; metropolitan area; public health; real time; spatiotemporal analysis; traffic emission; travel demand; article; Brazil; human; simulation; travel; velocity; Brazil; Sao Paulo [Brazil]
语种	英语
scopus关键词	Air quality; Automobiles; Global positioning system; Trucks; Air quality managers; Brazil; Spatial and temporal resolutions; Travel demand; Travel demand modeling; Travel demand models; Vehicular emission; VEIN; Traffic surveys; air quality; data set; emission inventory; fuel consumption; GPS; health impact; metropolitan area; public health; real time; spatiotemporal analysis; traffic emission; travel demand; article; Brazil; human; simulation; travel; velocity; Brazil; Sao Paulo [Brazil]
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120817
作者单位	Departamento de Ciências Atmosféricas, Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, Brazil; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China; Institute for Transport Studies, University of Leeds, United Kingdom
推荐引用方式 GB/T 7714	Ibarra-Espinosa S.,Ynoue R.Y.,Ropkins K.,et al. High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models[J],2020,222.
APA	Ibarra-Espinosa S.,Ynoue R.Y.,Ropkins K.,Zhang X.,&de Freitas E.D..(2020).High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models.Atmospheric Environment,222.
MLA	Ibarra-Espinosa S.,et al."High spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models".Atmospheric Environment 222(2020).