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Bibliometric analysis in motorcycle accident research: a global overview

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Abstract

770 million motorcycles are estimated on the roads. Motorcyclists represent more than 380,000 annual deaths worldwide. 28% of the global fatalities in the roads in 2016. With the increase of the accident rate, studies have been developed within the scientific literature. Bibliometric analysis is applied in the field of motorcycle safety in order to identify relevant publications on risk factors of road crashes and their implications. The information in this research was extracted from Web of Science and Scopus databases between 1947 and May 31, 2018. The study identified the key bibliometric indicators such as publications, authors, journals, countries, institutions, citation and co-citation analysis, subject categories, and co-occurrence of terms. EndNote, Microsoft Excel, Statgraphics Centurion and VOS-viewer software were used for the analysis. In total, 1813 articles were considered. The publications from 2000 to 2017 exhibits an average growth of 9%. The journal “Accident Analysis and Prevention” was the key issue in the publication and citation. The top institutions were the University of California, Universiti Putra Malaysia, and Monash University. The average citation of the top 10 articles was 134. A network visualization map showed that ‘vehicle’, ‘model’, ‘system’, ‘road’, ‘safety’, and ‘behavior’ were the most commons key terms. Bibliometric analysis demonstrates a high collaboration between authors and institutions. Two growing trends were identified. First, studies on the protection of the motorcyclist and the safe design considering the performance. Second, studies in analysis, characterization, and prevention of accidents. These studies are more related to the generation of strategies for the protection of road safety for motorcyclists.

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Acknowledgements

Funding for first author was covered by Fundación Centro de Estudios Interdisciplinarios Básicos y Aplicados (CEIBA)—Gobernación de Bolívar (Colombia). We thank the reviewers for the recommendations in improving the manuscript.

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Authors and Affiliations

  1. Department of Industrial Engineering, Universidad Tecnológica de Bolívar, Cartagena, Colombia

    Holman Ospina-Mateus

  2. Department of Industrial Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia

    Holman Ospina-Mateus & Leonardo Augusto Quintana Jiménez

  3. ICAI Engineering School, Instituto de Investigacion Tecnológica (IIT), Universidad Pontificia de Comillas, Madrid, Spain

    Francisco J. Lopez-Valdes

  4. Department of Industrial Management, Agroindustry and Operations, Universidad de la Costa, Barranquilla, Colombia

    Katherinne Salas-Navarro

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  1. Holman Ospina-Mateus
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  2. Leonardo Augusto Quintana Jiménez
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  3. Francisco J. Lopez-Valdes
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  4. Katherinne Salas-Navarro
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Correspondence to Holman Ospina-Mateus.

Appendices

Appendix 1: Search strategy databases

Database

Search

ISI WEB OF KNOWLEDGE (Title)

Title: (Moped* or Motorbike* or Motorcycle* or Motorcyclist* or Scooter*) AND Title: (Accident* or Collision* or Crash* or Death* or Factor or Fatal* or Hazard* or Helmet* or Incident* or Injur* or Risk* or “Risk Factor” or Road* or Safe* or Safety or Severit* or Speed* or Traffic* or Wound*)

Period: all years. Indices: SCI-EXPANDED, SSCI, A&HCI, ESCI

SCOPUS (TITLE)

(TITLE (moped OR motorbike OR motorcycle OR motorcyclist OR scooter) AND TITLE (accident OR collision OR crash OR death OR factor OR fatal OR hazard OR Helmet OR incident OR injur OR risk OR “Risk Factor” OR road OR Safe OR safety OR severit OR speed OR traffic OR wound))

Appendix 2: Top 5 most active journals publishing by year in motorcycle accident research

figure a

Appendix 3: Top 10 of most productive countries or territories publishing in motorcycle accident research

figure b

Appendix 4: Top five most active journals in citation per year in motorcycle accident research

figure c

Appendix 5: Most frequently assigned WoS and Scopus subject categories in motorcycle accident research

figure d

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Ospina-Mateus, H., Quintana Jiménez, L.A., Lopez-Valdes, F.J. et al. Bibliometric analysis in motorcycle accident research: a global overview. Scientometrics 121, 793–815 (2019). https://doi.org/10.1007/s11192-019-03234-5

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