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Factors influencing unsafe behaviors: A supervised learning approach · Study

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ArticleFactors influencing unsafe behaviors: A supervised learning approach

Yang Miang Goh2018

Article2018

Factors influencing unsafe behaviors: A supervised learning approach

Yang Miang Goh · Chalani Udhyami Ubeynarayana · Karen Le Xin Wong · Brian H.W. Guo

132 citations·0/0 files stored·Accident Analysis & Prevention

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Occupational Health and Safety Research Occupational Health and Safety in Workplaces Occupational Health and Safety Management

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References

1991The theory of planned behavior 2001Efficacy of the Theory of Planned Behaviour: A meta‐analytic review 2011Predicting and Changing Behavior 2016Managing the Risks of Organizational Accidents 1997Overall job satisfaction: How good are single-item measures?2008A taxonomy of behavior change techniques used in interventions.2000Perceptions of safety at work: A framework for linking safety climate to safety performance, knowledge, and motivation.2000Towards a model of safety culture

Cited by

2019Predicting types of occupational accidents at construction sites in Korea using random forest model 2021Computer vision technologies for safety science and management in construction: A critical review and future research directions 2020Knowledge transfer for occupational health and safety: Cultivating health and safety learning culture in construction firms 2022Predicting fatal fall from heights accidents using random forest classification machine learning model 2021Unveiling the mechanism of construction workers’ unsafe behaviors from an occupational stress perspective: A qualitative and quantitative examination of a stress–cognition–safety model

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Details

Year2018

Typearticle

Published2018-06-18

VenueAccident Analysis & Prevention

ISSN-L0001-4575

Languageen

Citations132

Files0 public / 0

ShelfOccupational Health and Safety Research

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doi10.1016/j.aap.2018.06.002

openalex_workW2809206443

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2020Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework

2020Insights into the mechanism of construction workers’ unsafe behaviors from an individual perspective

2023Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents