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

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...

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Detalles Bibliográficos
Autores principales: Li, Jie, Goerlandt, Floris, Li, Kai Way
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950497/
https://www.ncbi.nlm.nih.gov/pubmed/31817818
http://dx.doi.org/10.3390/ijerph16244972
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author Li, Jie
Goerlandt, Floris
Li, Kai Way
author_facet Li, Jie
Goerlandt, Floris
Li, Kai Way
author_sort Li, Jie
collection PubMed
description 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.
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spelling pubmed-69504972020-01-16 Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain Li, Jie Goerlandt, Floris Li, Kai Way Int J Environ Res Public Health Article 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. MDPI 2019-12-06 2019-12 /pmc/articles/PMC6950497/ /pubmed/31817818 http://dx.doi.org/10.3390/ijerph16244972 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Jie
Goerlandt, Floris
Li, Kai Way
Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title_full Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title_fullStr Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title_full_unstemmed Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title_short Slip and Fall Incidents at Work: A Visual Analytics Analysis of the Research Domain
title_sort slip and fall incidents at work: a visual analytics analysis of the research domain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6950497/
https://www.ncbi.nlm.nih.gov/pubmed/31817818
http://dx.doi.org/10.3390/ijerph16244972
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