1st Edition

Preventing Workplace Incidents in Construction Data Mining and Analytics Applications

By Imriyas Kamardeen Copyright 2020
180 Pages
by Routledge

180 Pages
by Routledge

180 Pages
by Routledge

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... Read more

Preface i



Acknowledgements ii



Figures iii



Tables v



Abbreviations vi







  1. Introduction






  2. Curtailing construction fatalities using analytics






  3. Reducing uncertainties in compensation for occupational diseases in construction using analytics






  4. Curbing psychological injuries in construction using analytics






  5. Predicting and preventing secondary psychological injuries in construction using analytics






  6. Conclusion




Index

Biography



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).