Variation of truck emission by trip purposes: Cases by real-world trajectory data

被引：2

作者：

Yao, Zhu ^{[1
,2
]}

Gan, Mi ^{[1
,2
,3
,4
,5
]}

Qian, Qiujun ^{[1
,2
]}

Qiao, Yu ^{[1
,2
]}

Wei, Lifei ^{[1
,2
]}

机构：

[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu, Sichuan, Peoples R China

[2] Southwest Jiaotong Univ, Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 610031, Sichuan, Peoples R China

[3] Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tran, Chengdu 610031, Sichuan, Peoples R China

[4] Southeast Univ, Jiangsu Prov Collaborat Innovat Ctr Modern Urban T, Dongnandaxue Rd 2, Nanjing 211189, Peoples R China

[5] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R China

来源：

TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT | 2023年 / 122卷

基金：

中国国家自然科学基金;

关键词：

Truck trip purpose; On road emissions; Trucking activities; Truck load; Trajectory data; FUEL CONSUMPTION; DIESEL TRUCKS; VEHICLE EMISSIONS; URBAN LOGISTICS; INVENTORY; TRANSPORTATION; CHINA; MODEL; PATTERNS; IMPACT;

D O I：

10.1016/j.trd.2023.103887

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Diesel trucks are the primary source of PM2.5 and NOX. However, current methods for estimating real-world truck emissions rely on uniform emission factors, disregarding essential factors that could vary by the trip purpose, such as load status, empty-load rate, driving behavior, etc. Thus, this study decomposes the relationship between trip and emissions through the trip chain perspective by analyzing massive trajectory data. It introduces a method to calculate on-road truck emissions considering different trip purposes and the shift in load states between purposes. Results indicate that the real-world emissions from heavy-duty diesel trucks vary significantly by trip purpose, with the highest variations in the emission factors for NOX and PM2.5 exceeding 21.06% and 14.24%, respectively. Comparison with previous studies demonstrates the high accuracy and reliability of our proposed method for estimating truck emissions when accounting for different trip purposes.

引用

页数：25

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