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Promising Modern Research Areas in Smart Mobility
Author(s) -
В. Н. Трегубов
Publication year - 2020
Publication title -
mir transporta
Language(s) - English
Resource type - Journals
ISSN - 1992-3252
DOI - 10.30932/1992-3252-2020-18-44-52
Subject(s) - computer science , scopus , field (mathematics) , data science , set (abstract data type) , smart city , key (lock) , cluster analysis , cluster (spacecraft) , transport engineering , world wide web , artificial intelligence , computer security , engineering , internet of things , computer network , pure mathematics , law , programming language , mathematics , medline , political science
Contemporary smart mobility technology makes it possible to solve the problems of urban transport, improving quality of urban mobility, increasing availability of transport, and ensuring its efficiency. The objective of the study is to identify key trends of research on smart mobility in recent scientific sources. The author, using VOS Viewer program, carried out a bibliometric analysis of publications indexed in the Web of Science and Scopus databases and containing keywords related to smart urban mobility. Co-citations, cross-references, shared keywords, co-authorships have been analyzed for the entire set of selected publications. As a result, a map of links between publications in the field of smart mobility was built, defining existing relationships between keywords and authors in this area. Also, a map of clusters was built , which displays proximity of publications to each other. A cluster comprises a group of research closely related via research topics, authors, and keywords. Clustering of publications was conducted followed by identifying six clusters, each of which reflects single promising research area in the field of smart mobility. The results obtained make it possible to identify promising development trends for smart mobility through automated processing of a highquality array of publications. The results can be used by municipal officials, transportation business and academia to review and analyze emerging smart mobility technologies and to make informed urban transport planning decisions.

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