期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 23, 期 12, 页码 22716-22736出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2022.3200588
关键词
Eco-driving; bibliometrics; scientometrics; review; VOSviewer
资金
- National Natural Science Foundation of China [52072288, 71702066]
- Institute of Distribution Research, Dongbei University of Finance and Economics [IDR2021YB004]
- Hubei Province Science and Technology Major Project [2020AAA001]
- National Social Science Fund of China [17BGL230]
This article provides a comprehensive review of eco-driving research using methodologies of literature bibliometrics and content analysis. Through analyzing publication year, leading countries, leading sources, leading institutions, leading authors, document citation, and document co-citation, the primary trends and hotspots in eco-driving research are identified.
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.
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