Eco-Driving: A Scientometric and Bibliometric Analysis

被引:13
作者
Chen, Zhijun [1 ]
Xiong, Shengguang [1 ]
Chen, Qiushi [1 ]
Zhang, Yishi [2 ,3 ]
Yu, Jinqiu [1 ]
Jiang, Junfeng [4 ]
Wu, Chaozhong [1 ]
机构
[1] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Peoples R China
[2] Wuhan Univ Technol, Sch Management, Wuhan 430070, Peoples R China
[3] Wuhan Univ Technol, Res Inst Digital Governance & Management Decis Inn, Wuhan 430070, Peoples R China
[4] Southeast Univ, Sch Transportat, Nanjing 211189, Peoples R China
基金
中国国家自然科学基金;
关键词
Eco-driving; bibliometrics; scientometrics; review; VOSviewer; SUSTAINABLE ROAD TRANSPORT; OPTIMAL ENERGY MANAGEMENT; ELECTRIC VEHICLES; FUEL CONSUMPTION; AUTONOMOUS VEHICLES; DRIVER ASSISTANCE; INTERFACE DESIGN; CONTROL-SYSTEM; OPTIMIZATION; MODEL;
D O I
10.1109/TITS.2022.3200588
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The fuel efficiency of the transportation sector has become a key factor to reduce greenhouse gas emissions and fuel consumption in response to the negative impacts of global warming. As an approach to energy saving and environmental sustainability, eco-driving has attracted considerable research interest in the past decades. This review aims to provide a comprehensive review of the research on eco-driving using methodologies of literature bibliometrics and content analysis through VOSviewer software. The following keywords "ecological-driving " ", ecological-routing " ", ecological-bus " ", ecological-car " ", ecological-vehicle " ", eco-driving " ", eco-routing " ", eco-driver " ", eco-bus " ", eco-car " and "eco-vehicle " are used for paper retrieval. The query was conducted on January 20, 2021. The results take account of all journal articles, proceedings papers, and reviews without time limitation. Finally, a total of 767 documents were retrieved as total publications, which were viewed over the period 2001-2020 based on the Web of Science (WoS) Core Collection database. The publication year, leading countries, leading sources, leading institutions, leading authors, document citation, and document co-citation were analyzed to explore the primary trends. The In-depth analysis reveals five clusters of keywords, and the review of relevant studies on eco-driving from five different perspectives is carried out to identify potential trends and future research hot spots of eco-driving.
引用
收藏
页码:22716 / 22736
页数:21
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