Xin Wang , Xiuping Dong , Zihe Zhang , Yuanqing Wang
{"title":"Transportation carbon reduction technologies: A review of fundamentals, application, and performance","authors":"Xin Wang , Xiuping Dong , Zihe Zhang , Yuanqing Wang","doi":"10.1016/j.jtte.2024.11.001","DOIUrl":null,"url":null,"abstract":"<div><div>Transportation is one of the main sources of carbon emissions that cause climate change. The reduction of traffic carbon emissions is urgently needed. With advancements in technology, significant progress has been made in reducing traffic carbon emissions. Despite numerous studies of technology's impact on traffic carbon reduction, significant challenges remain in quantitative evaluation of mitigation effects. This study conducts a systematic literature review from the perspective of carbon emission reduction in transportation and summarized the primary applications, fundamental concepts, technological maturity, and effectiveness in carbon emission reduction of four types of technologies: artificial intelligence technology, transportation energy integration, vehicle technology, and other technologies. The results indicated that the application of the reviewed technologies is expected to make significant contributions to carbon emission reduction in transportation in the near future. Additionally, this review selected 177 papers published between 2013 and 2023 and conducted general analyses such as publication time, citation frequency, and the region and countries of the study. This review provides valuable information for both public and private sectors in the field of carbon emission reduction in transportation.</div></div>","PeriodicalId":47239,"journal":{"name":"Journal of Traffic and Transportation Engineering-English Edition","volume":"11 6","pages":"Pages 1340-1377"},"PeriodicalIF":7.4000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Traffic and Transportation Engineering-English Edition","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209575642400117X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Transportation is one of the main sources of carbon emissions that cause climate change. The reduction of traffic carbon emissions is urgently needed. With advancements in technology, significant progress has been made in reducing traffic carbon emissions. Despite numerous studies of technology's impact on traffic carbon reduction, significant challenges remain in quantitative evaluation of mitigation effects. This study conducts a systematic literature review from the perspective of carbon emission reduction in transportation and summarized the primary applications, fundamental concepts, technological maturity, and effectiveness in carbon emission reduction of four types of technologies: artificial intelligence technology, transportation energy integration, vehicle technology, and other technologies. The results indicated that the application of the reviewed technologies is expected to make significant contributions to carbon emission reduction in transportation in the near future. Additionally, this review selected 177 papers published between 2013 and 2023 and conducted general analyses such as publication time, citation frequency, and the region and countries of the study. This review provides valuable information for both public and private sectors in the field of carbon emission reduction in transportation.
期刊介绍:
The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.