A Scenario of Road Traffic Safety: A Bibliometric Analysis
Description
In the past decade, road traffic accidents (RTAs) have become increasingly concerning, both as social and health issues. To gain insights into the state of road traffic safety research between 2010 and 2022, we conducted a comprehensive study using Scopus as our primary source for relevant research. This analysis covered various bibliometric indicators, including annual publication and citation trends, prominent authors, journals, institutions, highly cited articles, and keyword co-occurrence. R statistical software and the bibloshiny package were employed for the analysis. The dataset exhibits an annual growth rate of 15.55%, indicating an increasing number of documents over time. On average, the documents are relatively recent, with an average age of 4.8 years, and each document has an average of 10.87 citations, reflecting their scholarly impact. Collaboration among authors is evident, with an average of 3.33 co-authors per document and a notable percentage of international co-authorships (24%). The analysis also reveals fluctuating patterns in publication output and citation impact across different years. Additionally, certain journals, such as "Accident Analysis and Prevention," "Periodic Polytechnic Transportation Engineering," and "IATSS Research," have published a substantial number of articles in the road safety field. Several influential articles and trusted authors have emerged from this dataset, contributing to the body of knowledge in road safety research. This study offers valuable insights into the research landscape of road safety over the past decade, highlighting key contributing factors to accidents and providing a foundation for devising impactful policies and measures to curb road traffic incidents. Overall, these findings provide valuable insights into the scholarly landscape, collaborations, and topical coverage within the specified timespan.
Files
15.pdf
Files
(486.5 kB)
Name | Size | Download all |
---|---|---|
md5:068ddf9e80f3d6daf9f02f6329182a57
|
486.5 kB | Preview Download |