BIM approaches for enhanced health and safety status in construction - protocol for a systematic review

Author:

Sidani AdeebORCID,Poças Martins JoãoORCID,Soeiro AlfredoORCID

Abstract

The construction industry is complex, dynamic, multicultural, and full of diverse activities and dangerous machinery. Many accidents occur because of limiting factors, such as safety and health culture, requirements, poor training of workers, and the restricted technologies implemented to prevent, plan, and monitor risks. Building Information Modelling (BIM) is recognised to enhance project management, planning, and inspection, reduce time and costs, strengthen collaboration, and decrease risks and accidents. A wide array of BIM-based tools and technologies with various functionalities are being investigated to enhance construction workers' health and safety. Among such technologies and methods are tracking devices, Augmented and Virtual Reality (AR/VR), automated rule checking, risk identification and Artificial Intelligence (AI). A systematic review following PRISMA Statement is proposed, aiming to investigate the current BIM-based technologies and evaluate effectiveness and usability within the Architecture, Engineering, Construction and Operations (AECO) industry to enhance occupational health and safety status. Consequently, this PRISMA Protocol (PRISMA-P) represents a complementary document to the systematic review that will be developed. Related articles will be gathered from top electronic databases in construction, safety, and health fields. Moreover, the literature review will focus on the BIM and associated technologies utilised in the AECO sector, exploring the construction fields, targeted groups and the system architectures developed. Likewise, examine the evaluation methods of the implemented tools to assess each technology's effectiveness. Finally, after stating the limitations of each study, the article will propose a safety and health framework involving the most efficient tools involving the whole project lifecycle.

Publisher

University of Porto

Subject

General Medicine

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