Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

Preventing Workplace Incidents in Construction: Data Mining and Analytics Applications

Kamardeen, Imriyas

Paperback

Series: Spon Research

General ArchitectureGeneral Construction & Renovation

ISBN10: 1032177918
ISBN13: 9781032177915
Publisher: Routledge
Published: Sep 30 2021
Pages: 180
Weight: 0.58
Height: 0.39 Width: 6.14 Depth: 9.21
Language: English

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.

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