Decarbonizing road freight transportation – A bibliometric and network analysis

Meyer, Tobias

doi:10.1016/j.trd.2020.102619

Cited by 82 publications

(56 citation statements)

References 79 publications

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“…More information might be acquired by evaluating the current literature qualitatively and quantitatively, as well as studying and following the evolution of a vast number of published works (Ampah et al 2021). As a result, a systematic review of the whole body of literature might aid in the organization of current knowledge and the identification of future research gaps (Meyer 2020). These shortcomings of conventional reviews might be properly addressed by utilizing current review methodologies such as bibliometric analysis (Donthu et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Visualization and analysis of mapping knowledge domains for the global transition towards clean cooking: a bibliometric review of research output from 1990 to 2020

Afrane

Ampah

Mensah

2021

Environ Sci Pollut Res

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Current statistics report that 2.6 billion households across the globe rely on polluting and inefficient cooking fuels and technologies, posing death-threatening health risks to people mainly from developing countries/regions. Several studies on clean cooking have been conducted with the emergence of international organizations such as the Clean Cooking Alliance to raise awareness. In the current study, a bibliometric tool, CiteSpace, was employed to analyze the 877 documents retrieved from the SCI-EXPANDED, SSCI, and A&HCI databases on clean cooking research from 1990 to 2020. The results reveal that interest in clean cooking research took a sharp rise in the last decade, especially after 2016. The research field has become increasingly interdisciplinary but has mostly centered on environment, energy, and health. The most productive countries/ regions in this field are the USA, India, England, and China. The keyword and citation analyses indicate that research in this field mostly focuses on adverse impacts of household air pollution from unclean cooking fuels and technologies on the environment and public health particularly, in developing countries/regions. Also, the drivers and barriers to the large-scale adoption of clean cooking fuels and technologies have become a topic of interest in recent years. The three most studied clean cooking fuels among various regions are LPG, biogas, and electricity. This study synthesizes global research on clean cooking and may be beneficial to other researchers in understanding current trends in this field and serve as a guide for concentrating on the most important topics.

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Section: Introductionmentioning

confidence: 99%

Visualization and analysis of mapping knowledge domains for the global transition towards clean cooking: a bibliometric review of research output from 1990 to 2020

Afrane

Ampah

Mensah

2021

Environ Sci Pollut Res

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“…rough bibliometric analysis, Li et al [29] made a statistical analysis of all journal publications, influential papers, main contributors, and main subjects of bottleneck model research in the past half-century. Meyer [30] systematically and quantitatively reviewed the literature on the decarbonization of road freight transportation with literature coupling and cocitation analysis. Abduljabbar et al [31] analyzed 328 journal papers from the Scopus database from 2000 to 2020 to explore the changing trends of micromobility research.…”

Section: Introductionmentioning

confidence: 99%

Classification and Evolution Analysis of Key Transportation Technologies Based on Bibliometrics

Chen

Cai

Huang

et al. 2021

Scientific Programming

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To study the classification and evolution of key technologies in the transportation field, the data of 36 authoritative SCI journals in the transportation field were collected from the Web of Science core collection database from 2001 to 2020. Based on the bibliometric method, this study used Python to process and visualize data, combined with bibliometric software VOSviewer to assist data visualization. Firstly, a preprocessing data algorithm was designed to deduplicate the collected data, merge synonyms, and extract key technologies. Then the paper records that contained the key technology lexicon were filtered out. Next, the annual number of publications and the distribution of key technologies over time were counted. The least squares method was used to fit the distribution of the annual proportion of the publications, and the slope k1 of the fitted linear regression equation was used to determine the research interest trend of key technologies. The key technologies were divided into “hot technology,” “cold technology,” and “other technologies,” according to the research heat trend. In order to further explore the research hotspots, the least squares method was also used to fit the citations of all technologies to obtain the slope k2. We use the Gaussian mixture model (GMM) algorithm to cluster k1 and k2 of each technology. As a result, the 144 technologies were divided into 13 super-key technologies, 60 key technologies, 59 relative key technologies, and 12 lower-key technologies. Then, the evolution of key technologies was analyzed from two perspectives of weighted evolution and cumulative evolution. And the technology evolution trend in the transportation field in the past 20 years was explored. Finally, the cooccurrence clustering method was adopted to divide key transportation technologies into five categories: vehicle technology and control, optimization algorithms and simulation techniques, artificial intelligence and big data, Internet of Things and computing, and communication technology. The research results can provide references for different people in the transportation field, including but not limited to researchers, journal editors, and funding agencies.

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“…Considering the problem of urban people mobility, there are two ways to mitigate the impact generated by externalities: (i) the use of big data to transform mobility into smart mobility, rationalizing the number of trips and promoting the use of shared vehicles via the information generated in a smart city [44]; and (ii) making an extensive use of low environmental impact vehicles, mainly electric ones [45]. Finally, Meyer [46] enumerated a long list of actions to decarbonize road freight transportation, as the use of electric vehicles in organized platoons of heavy-duty vehicles.…”

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confidence: 99%

Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications

et al. 2021

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The need for effective freight and human transportation systems has consistently increased during the last decades, mainly due to factors such as globalization, e-commerce activities, and mobility requirements. Traditionally, transportation systems have been designed with the main goal of reducing their monetary cost while offering a specified quality of service. During the last decade, however, sustainability concepts are also being considered as a critical component of transportation systems, i.e., the environmental and social impact of transportation activities have to be taken into account when managers and policy makers design and operate modern transportation systems, whether these refer to long-distance carriers or to metropolitan areas. This paper reviews the existing work on different scientific methodologies that are being used to promote Sustainable Transportation Systems (STS), including simulation, optimization, machine learning, and fuzzy sets. This paper discusses how each of these methodologies have been employed to design and efficiently operate STS. In addition, the paper also provides a classification of common challenges, best practices, future trends, and open research lines that might be useful for both researchers and practitioners.

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Decarbonizing road freight transportation – A bibliometric and network analysis

Cited by 82 publications

References 79 publications

Visualization and analysis of mapping knowledge domains for the global transition towards clean cooking: a bibliometric review of research output from 1990 to 2020

Visualization and analysis of mapping knowledge domains for the global transition towards clean cooking: a bibliometric review of research output from 1990 to 2020

Classification and Evolution Analysis of Key Transportation Technologies Based on Bibliometrics

Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications

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