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Barriers to big data techniques application in construction safety, health and wellbeing

Umeokafor, Nnedinma; Umar, Tariq

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Authors

Nnedinma Umeokafor

Profile image of Tariq Umar

Dr. Tariq Umar Tariq.Umar@uwe.ac.uk
Senior Lecturer in Construction Project Management



Contributors

Gao Shang
Editor

Paulo Jorge Silva Bartolo
Editor

Valerie Francis
Editor

Anil Sawhney
Editor

Abstract

The adoption of digital technologies such as big data analytics (BDA) for health, safety, and wellbeing (HSW) improvement in construction has increased but continues to experience challenges. Reviewing extant literature, this chapter identifies and discusses the barriers to HSW improvement using BDA. The barriers include technical issues such as the inability of existing machine learning techniques such as the fuzzy-neural method to predict HSW risks by analysing incident data, and the large size, heterogeneous and dynamic nature of construction accident data. While the socio-technical barriers include BDA skills shortage, the financial ones cover the high cost associated with BDA. Data dispute among companies, organisational culture, and ignorance of the potential of BDA in improving HSW which results in its limited acceptance and implementation in HSW are identified. There are also operational barriers in terms of digital poverty in construction, and supply chain issues where the fragmented supply chain of the industry and the uniqueness of projects do not facilitate a collaborative environment, a prerequisite for digital solutions. The implications of the findings include the need for an adequate legal framework international standard to settle the dispute between countries arising from data issues. Empirical studies to assess the barriers are recommended.

Online Publication Date May 12, 2023
Publication Date May 12, 2023
Deposit Date May 5, 2023
Publicly Available Date Nov 13, 2024
Publisher Taylor & Francis
Pages 169-179
Edition 1st
Book Title Handbook of Construction Safety, Health and Well- being in the Industry 4.0 Era
Chapter Number 15
ISBN 9781032079929
Keywords Big data, big data techniques, construction, construction safety, health and wellbeing, wellbeing
Public URL https://uwe-repository.worktribe.com/output/10741692
Publisher URL https://www.routledge.com/Handbook-of-Construction-Safety-Health-and-Well-being-in-the-Industry/Manu-Shang-Bartolo-Francis-Sawhney/p/book/9781032079929
Contract Date Oct 13, 2022

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Copyright Statement
This is the author’s accepted manuscript of an original book chapter published by Taylor & Francis ‘Umeokafor, N., & Umar, T. 2023. Barriers to big data techniques application in construction safety, health and wellbeing. In Handbook of Construction Safety, Health and Well- being in the Industry 4.0 Era (169-179). London: Taylor & Francis’.

The published version is available at: https://www.routledge.com/Handbook-of-Construction-Safety-Health-and-Well-being-in-the-Industry/Manu-Shang-Bartolo-Francis-Sawhney/p/book/9781032079929







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