Development of the Level of Preventive Action Method by Observation of the Characteristic Value for the Assessment of Occupational Risks on Construction Sites

Author:

Carpio de los Pinos Antonio JoséORCID,González García María de las NievesORCID,Soriano José AntonioORCID,Yáñez Araque BenitoORCID

Abstract

The special circumstances of the high accident rate in the construction industry compared to other sectors are significant and represent a major concern for many countries. Construction work involves a large number of risks that cause or may cause accidents with serious consequences for the worker’s health, even death. The Level of Preventive Action is a novel methodology of occupational risk assessment adapted to building works. It is based on the development of the mathematical formulation of William T. Fine’s method. Its implementation covers four of the techniques for combating risk: Safety at Work, Industrial Hygiene, Ergonomics and Psychosociology. It evaluates, quantitatively, the amount of preventive action required based on the characteristic complexity of the work units, their location and their interdependence. The method protocol defines a new observation parameter called Characteristic Value which is inherent to the real situation of the construction process. The aim of this study is to develop the characterisation of the Characteristic Value in the Level of Preventive Action method. It also justifies the procedure to obtain this Characteristic Value and how its implementation and result should be interpreted. Finally, the methodology is applied on a real case.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3