DOI: 10.1016/j.scitotenv.2019.135533
论文题名: Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses
作者: Pan Y. ; Qiao F. ; Tang K. ; Chen S. ; Ukkusuri S.V.
刊名: Science of the Total Environment
ISSN: 489697
出版年: 2020
卷: 703 语种: 英语
英文关键词: Air pollution
; CO2 emission
; Different road locations
; GBRT approach
; New-energy vehicle
; Real-world driving
Scopus关键词: Air pollution
; Buses
; Carbon dioxide
; Decision trees
; Diesel engines
; Global warming
; Greenhouse gases
; Regression analysis
; Roads and streets
; Carbon dioxide emissions
; CO2 emissions
; Emission characteristics
; Feature selection methods
; GBRT approach
; Low carbon transportations
; New energy vehicles
; Real-world drivings
; Bus transportation
; carbon dioxide
; atmospheric pollution
; bus transport
; carbon emission
; correlation
; diesel engine
; public transport
; road transport
; urban transport
; Article
; carbon footprint
; controlled study
; conventional diesel bus
; correlation analysis
; feature selection
; highway
; motor vehicle
; new energy bus
; priority journal
; statistical analysis
; traffic
; urban area
英文摘要: Public transport buses are heavy-duty vehicles that travel through the city from morning till night, which emits a large number of greenhouse gases. Understanding and estimating the characteristics of carbon emissions for transit buses are critical in achieving a low-carbon transportation system. In this study, the changes in carbon dioxide (CO2) emissions generated from new-energy buses as well as traditional diesel buses at bus stations, intersections, and road segments are compared using statistical analysis approaches; then the factors significantly affecting the emission rates are identified based on correlation analysis and feature selection methods. Finally, a gradient boosted regression tree (GBRT) model is proposed to conduct estimations for CO2 emission rates of buses. The results indicate that different sensitivities to various influencing factors exist in the carbon dioxide emissions of different types of buses. In addition, the VT-Micro regression method and Random forest technique were utilized to compare with the developed GBRT model. According to the comparison results, the estimation errors of GBRT fluctuate in a smaller range, suggesting that the GBRT model outperforms traditional approaches in emission estimation of carbon dioxide. Also, the deep understanding of the emission characteristics for both new-energy buses and conventional diesel buses helps to plan and dispatch buses with different fuel types according to local traffic conditions. © 2019 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159328
Appears in Collections: 气候变化与战略
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作者单位: School of Transportation, Southeast University, Nanjing, 211189, China; Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States; Department of Transportation Studies, Texas Southern University, Houston, TX 77004, United States
Recommended Citation:
Pan Y.,Qiao F.,Tang K.,et al. Understanding and estimating the carbon dioxide emissions for urban buses at different road locations: A comparison between new-energy buses and conventional diesel buses[J]. Science of the Total Environment,2020-01-01,703