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Allometric scaling and accidents at work

Allometry is the knowledge concerning relations between the features of some beings, like animals, or cities. For example, the daily energy rate is proportional to a mass of mammals rise of 3/4. This way of thinking has spread quickly from biology to many areas of research concerned with sociotechni...

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Detalles Bibliográficos
Autores principales: Cempel, Czesław, Tabaszewski, Maciej, Ordysiński, Szymon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867905/
https://www.ncbi.nlm.nih.gov/pubmed/26655044
http://dx.doi.org/10.1080/10803548.2015.1131071
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author Cempel, Czesław
Tabaszewski, Maciej
Ordysiński, Szymon
author_facet Cempel, Czesław
Tabaszewski, Maciej
Ordysiński, Szymon
author_sort Cempel, Czesław
collection PubMed
description Allometry is the knowledge concerning relations between the features of some beings, like animals, or cities. For example, the daily energy rate is proportional to a mass of mammals rise of 3/4. This way of thinking has spread quickly from biology to many areas of research concerned with sociotechnical systems. It was revealed that the number of innovations, patents or heavy crimes rises as social interaction increases in a bigger city, while other urban indexes such as suicides decrease with social interaction. Enterprise is also a sociotechnical system, where social interaction and accidents at work take place. Therefore, do these interactions increase the number of accidents at work or, on the contrary, are they reduction-driving components? This article tries to catch such links and assess the allometric exponent between the number of accidents at work and the number of employees in an enterprise.
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spelling pubmed-48679052016-05-23 Allometric scaling and accidents at work Cempel, Czesław Tabaszewski, Maciej Ordysiński, Szymon Int J Occup Saf Ergon Articles Allometry is the knowledge concerning relations between the features of some beings, like animals, or cities. For example, the daily energy rate is proportional to a mass of mammals rise of 3/4. This way of thinking has spread quickly from biology to many areas of research concerned with sociotechnical systems. It was revealed that the number of innovations, patents or heavy crimes rises as social interaction increases in a bigger city, while other urban indexes such as suicides decrease with social interaction. Enterprise is also a sociotechnical system, where social interaction and accidents at work take place. Therefore, do these interactions increase the number of accidents at work or, on the contrary, are they reduction-driving components? This article tries to catch such links and assess the allometric exponent between the number of accidents at work and the number of employees in an enterprise. Taylor & Francis 2016-04-02 2016-04-01 /pmc/articles/PMC4867905/ /pubmed/26655044 http://dx.doi.org/10.1080/10803548.2015.1131071 Text en © 2016 Central Institute for Labour Protection – National Research Institute (CIOP-PIB). Published by Taylor & Francis. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/Licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Articles
Cempel, Czesław
Tabaszewski, Maciej
Ordysiński, Szymon
Allometric scaling and accidents at work
title Allometric scaling and accidents at work
title_full Allometric scaling and accidents at work
title_fullStr Allometric scaling and accidents at work
title_full_unstemmed Allometric scaling and accidents at work
title_short Allometric scaling and accidents at work
title_sort allometric scaling and accidents at work
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4867905/
https://www.ncbi.nlm.nih.gov/pubmed/26655044
http://dx.doi.org/10.1080/10803548.2015.1131071
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