Collinge, W.H. orcid.org/0000-0003-3387-1649, Farghaly, K., Mosleh, M.H. et al. (3 more authors) (Cover date: September 2022) BIM-based construction safety risk library. Automation in Construction, 141. 104391. ISSN 0926-5805
Abstract
This paper presents a digital tool and Safety Risk library to assist designers in their health and safety work in BIM digital environments. Addressing an industry need for improved knowledge sharing and collaboration, the BIM Safety Risk library tool aligns with a Prevention through Design (PtD) approach that links safety risks to treatments via different risk scenarios. Motivated by continuing sub-optimal health and safety management processes, the research employs a conceptual framework rooted in construction guidance: structuring data via a 7-stage ontology to improve designer knowledge of issues and give access to an expanding safety knowledge base (the BIM Safety Risk Library). The tool facilitates tacit and explicit knowledge sharing in visual environments, enabling the construction industry to benefit from their health and safety data while providing an interactive learning tool for designers. The structuring of data also opens up possibilities for other digital advances (e.g. via automatic rule checking).
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Building information modelling, BIM, Design for Safety, Prevention through design, Construction safety, Health and safety, Safety in design, Ontology, Risk scenarios |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Aug 2023 14:05 |
Last Modified: | 30 Aug 2023 14:05 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.autcon.2022.104391 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:202753 |