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Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain

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  • Jie Li

    (Department of Safety Science and Engineering, School of Ocean Science and Engineering, Shanghai Maritime University, Pudong New Area, Shanghai 201306, China
    State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, China)

  • Floris Goerlandt

    (Department of Industrial Engineering, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Kai Way Li

    (Department of Industrial Management, Chung Hua University, Hsin-Chu 30012, Taiwan)

Abstract

Slip and fall incidents at work remain an important class of injury and fatality causing mechanisms. An extensive body of safety research has accumulated on this topic. This article presents an analysis of this research domain. Two bibliometric visualization tools are applied: VOSviewer and HistCite. Samples of 618 slip and fall related articles are obtained from the Web of Science database. Networks of institutions, authors, terms, and chronological citation relationships are established. Collaboration and research activities of the slip and fall research community show that most contributors are from the United States, with the (now closed) Liberty Mutual Research Institute for Safety the most influential research organization. The results of a term clustering analysis show that the slip and fall research can be grouped into three sub-domains: epidemiology, gait/biomechanics, and tribology. Of these, early research focused mainly on tribology, whereas research on gait/biomechanics and epidemiological studies are relatively more recent. Psychological aspects of slip and fall incident occurrence represent a relatively under-investigated research topic, in which future contributions may provide new insights and safety improvements. Better linking of this research domain with other principles and methods in safety science, such as safety management and resilience, may also present valuable future development paths.

Suggested Citation

  • Jie Li & Floris Goerlandt & Kai Way Li, 2019. "Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain," IJERPH, MDPI, vol. 16(24), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:24:p:4972-:d:295249
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    2. Haizhen Cao & Hongxiang Ou & Weiyi Ju & Mengli Pan & Honglai Xue & Fang Zhu, 2023. "Visual Analysis of International Environmental Security Management Research (1997–2021) Based on VOSviewer and CiteSpace," IJERPH, MDPI, vol. 20(3), pages 1-18, January.
    3. Floris Goerlandt & Jie Li & Genserik Reniers, 2020. "The Landscape of Risk Communication Research: A Scientometric Analysis," IJERPH, MDPI, vol. 17(9), pages 1-31, May.

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