Behavior and Motorcycle Accident Research: A Bibliometric Study

Traffic accidents cause the death of 1.3 million people each year. Motorcycle accidents dominate 74% of traffic accident fatalities. Motorcycle accidents have a high fatality rate because they have less protection than other motorized vehicles. Human factors, including behavior, are one of the most important factors that can cause motorcycle accidents. However, no structured metadata study specifically addresses riding behavior in accidents involving motorcyclists to obtain future research areas. The purpose of this research is to perform a bibliometric analysis of previous research on the keyword’s ‘behavior’, ‘motorcycles’, and ‘motorcycle accidents’. Scopus database was used to collect 604 articles worldwide that were suitable with inclusion and exclusion criteria from 1991 to 2022. The criteria are journals, final publications stage, and written in English. The bibliometric data were processed with the R package and VosViewer. Data processing result analysis involves performance analysis and science mapping. The performance analysis phase consists of five analyses: annual scientific production, most relevant sources, most productive authors, most cited publications, and most productive institutes. The science mapping phase consists of four analyses: three-fold analysis, an author collaboration network, keyword network, and keyword analysis based on period. The findings of this bibliometric study propose three areas for future research. Those are are: methods and tools – qualitative research, driving simulator, TPB, questionnaire (MRBQ), naturalistic driving study, and machine learning; behavior – cell/mobile phone use, driving under influence, traffic violations, awareness; and research subjects – human factors and e-scooters. This study’s findings can provide an overview of upcoming research opportunities.