Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

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Imriyas Kamardeen

Preventing Workplace Incidents in Construction

Data Mining and Analytics Applications

Imriyas Kamardeen

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Hardback

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English

Routledge
25 June 2019

Data analysis: general; Construction industry; Occupational & industrial health & safety

Series: Spon Research

The construction industry is vital to any national economy; it is also one of the industries most susceptible to workplace incidents. The unacceptably high rates of incidents in construction have huge socio-economic consequences for the victims, their families and friends, co-workers, employers and society at large. Construction safety researchers have introduced numerous strategies, models and tools through scientific inquiries involving primary data collection and analyses. While these efforts are commendable, there is a huge potential to create new knowledge and predictive models to improve construction safety by utilising already existing data about workplace incidents. In this new book, Imriyas Kamardeen argues that more sophisticated approaches need to be deployed to enable improved analyses of incident data sets and the extraction of more valuable insights, patterns and knowledge to prevent work injuries and illnesses.

The book aims to apply data mining and analytic techniques to past workplace incident data to discover patterns that facilitate the development of innovative models and strategies, thereby improving work health, safety and well-being in construction, and curtailing the high rate of incidents. It is essential reading for researchers and professionals in construction, health and safety and anyone interested in data analytics.

By: Imriyas Kamardeen
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9781138087453
ISBN 10: 1138087459
Series: Spon Research
Pages: 168
Publication Date: 25 June 2019
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

Preface i Acknowledgements ii Figures iii Tables v Abbreviations vi Introduction Curtailing construction fatalities using analytics Reducing uncertainties in compensation for occupational diseases in construction using analytics Curbing psychological injuries in construction using analytics Predicting and preventing secondary psychological injuries in construction using analytics Conclusion Index

Imriyas Kamardeen is Professor of Construction Management at Deakin University, Australia. He is also the Editor of the international journal Construction Economics and Building. His research and teaching interests predominantly lie in Construction Informatics and Workplace Health and Safety. He has authored two books previously with Routledge: OHS Electronic Management Systems for Construction (2013), and Fall Prevention Through Design in Construction: The Benefits of Mobile Computing (2015).