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Esmaeili, B, Hallowell, M R and Rajagopalan, B (2015) Attribute-Based Safety Risk Assessment. I: Analysis at the Fundamental Level. Journal of Construction Engineering and Management, 141(08).

Esmaeili, B, Hallowell, M R and Rajagopalan, B (2015) Attribute-Based Safety Risk Assessment. II: Predicting Safety Outcomes Using Generalized Linear Models. Journal of Construction Engineering and Management, 141(08).

  • Type: Journal Article
  • Keywords: Safety risk management; Predictive models; Principal component analysis (PCA); Generalized linear models (GLMs); Labor and personnel issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000981
  • Abstract:
    One of the recent advancements in preconstruction safety management is the identification and quantification of risks associated with fundamental attributes of construction work environments that cause injuries. The goal of this paper is to test the validity of using these fundamental risk attributes to predict safety outcomes. The modeling approach required two steps, as follows: (1) a principal component analysis was performed on the safety attributes to reduce dimension of the data and remove collinearity among attributes (the principle component analysis provided insights into the relative importance of the various attributes and provided an orthogonal decomposition of the data), and (2) the leading principal components (which are orthogonal by definition) were used as potential predictors in a generalized linear model with a logit link function to model the probability of different accident categories. The predictive power was then assessed using a rank probability skill score, which quantified the probabilistic skill of the forecasts over the categories. The analysis shows strong predictive skill, making the models attractive for safety managers to use to skilfully forecast the probability of a safety incident given identifiable characteristics of planned work. Researchers in the technology domain may find these models useful in predicting safety outcomes during design, work packaging, and scheduling.

Golabchi, A, Han, S, Seo, J, Han, S, Lee, S and Al-Hussein, M (2015) An Automated Biomechanical Simulation Approach to Ergonomic Job Analysis for Workplace Design. Journal of Construction Engineering and Management, 141(08).

Kim, B and Kim, S J (2015) Credibility Evaluation of Project Duration Forecast Using Forecast Sensitivity and Forecast-Risk Compatibility. Journal of Construction Engineering and Management, 141(08).

Lee, B, Lee, H, Park, M and Kim, H (2015) Influence Factors of Learning-Curve Effect in High-Rise Building Constructions. Journal of Construction Engineering and Management, 141(08).

Wu, C, Song, X, Wang, T and Fang, D (2015) Core Dimensions of the Construction Safety Climate for a Standardized Safety-Climate Measurement. Journal of Construction Engineering and Management, 141(08).