A Scientometric Analysis and Review for Studies Related to Applying Road Safety Data to Transportation Planning

Al-Omrani, Sawsan Abd Aljabbar; Zubaidi, Hamsa A

doi:10.63463/kjes1143

	A Scientometric Analysis and Review for Studies Related to Applying Road Safety Data to Transportation Planning
Kerbala Journal for Engineering Sciences (KJES)
Volume 4, Issue 3, September 2024, Pages 235-258 PDF (1.51 M)
Document Type: Review Article
DOI: 10.63463/kjes1143
Authors
sawsan abd aljabbar Al-Omrani^* ; hamsa A Zubaidi
Al-Qadisiyah University, College of Engineering, Department of Road and Transportation Engineering
Abstract
Traffic crashes are the leading cause of fatalities and severe injuries in several nations worldwide since they are widely recognized as a primary cause of mortality. They have emerged as a significant societal worry, representing one of the foremost challenges that deplete material resources and human efforts, specifically targeting the fundamental aspect of existence, namely the human element. Safety refers to being protected from harm, danger, or risk. The road has significant social and economic significance on a global scale. As the number of vehicles on the road continues to rise, it is imperative to intensify efforts to mitigate preventable fatalities and injuries. This may be achieved by carefully analyzing past incidents and developing appropriate recommendations and solutions. The study's objective is to locate and gather the most important research articles on including safety considerations during the creation of transportation planning. This includes identifying the countries, journals, authors, and their collaborations that have published such information. WOS (Web of Science) is used for this purpose. To get advantages from these studies, the factors behind crashes must be comprehended in their assessment, as well as the methods used for their resolution to ensure the establishment of a sustainable urban transportation system.
Keywords
Bibliometric analysis; Safety; Safety transportation planning; Scientometric Analysis; Traffic crashes; Transportation

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