期刊
TRANSPORT POLICY
卷 107, 期 -, 页码 1-10出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.tranpol.2021.04.013
关键词
Low carbon air transport; Development trends; Scientometrics-based data analysis system; Policy implications
资金
- National Natural Science Foundation of China [71901157, 71903139]
- China Postdoctoral Science Foundation [2019M660244]
- Soft Science Program of Sichuan Province [2020JDR0099]
- Sichuan University [2018hhf45, 2020CXQ07, 2020CXQ22, skbsh201936]
This study analyzes the development trends of low carbon air transport using a scientometrics-based data analysis system, and proposes policy implications including integrating existing policies, formulating auxiliary policies, and developing forward-looking policies.
There has been increasing attention on low carbon air transport in recent years due to the environmental impact of air transport. To accelerate low carbon air transport development, various efforts have been made. This study analyzes low carbon air transport development trends using a scientometrics-based data analysis system that evaluates all relevant scientific papers, and explores policy implications. From extensive research on low carbon air transport, literature mining and cluster analysis are conducted to obtain a clear definition for low carbon air transport development trends. Cluster, timeline, and timezone visualizations are used to explore development trends for low carbon air transport with some key topics. The innovation and sustainability for low carbon air transport are evaluated, and then some policy implications are proposed for further development, including properly integrating existing policies, formulating auxiliary policies, and developing forward-looking policies. Examining low carbon air transport based on the analysis system involves a precise observation of air transport development trends and provides policy implications, which could be extended to other transport fields requiring emissions reduction.
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