Big data in roads and pavements: Insights from a bibliometric study and a critical review of recent publications

Abstract

This article is intended to present the quantitative study of scientific research publications in the recent decade on the application of big data in the area of road transport and pavement engineering. The present study was conducted in two phases. In the first phase, 5036 Scopus indexed research documents such as research articles, review articles, conference papers, books, and book chapters published during 2010 and 2021 were referred. The study presents the geographical origin of the research documents; list of journals in which articles frequently featured; trends in the annual publication of research articles in journals, citations, and average citations per documents; and the frequency distribution of articles with different range of citations. In the second phase, nearly 100 articles that had cited the research article on the application of big data tools for the pavement distress detection were examined for the various types of machine learning, deep learning algorithms. © 2022 the Author(s).