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Gerassis, S, Martín, J E, García, J T, Saavedra, A and Taboada, J (2017) Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments. Journal of Construction Engineering and Management, 143(02).

Guo, B H W, Yiu, T W, González, V A and Goh, Y M (2017) Using a Pressure-State-Practice Model to Develop Safety Leading Indicators for Construction Projects. Journal of Construction Engineering and Management, 143(02).

  • Type: Journal Article
  • Keywords: Construction safety; Leading indicators; Safety performance measurement; Systems theory; Labor and personnel issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001218
  • Abstract:
    This paper aims to develop a set of safety leading indicators that can be used by construction companies to assess safety levels and measure safety performance at the project level. The development process follows a four-step method: conceptualization, operationalization, indicator generation, and validation and revision. A pressure-state-practice (PSP) model is developed as an overall framework for developing safety leading indicators. The safety level of a construction project is conceptualized as a high-level abstract construct that can be assessed by state indicators, pressure indicators, and practice indicators. Criterion validity (i.e., concurrent validity and predictive validity), practicability, and cost-effectiveness of the leading indicators were qualitatively tested and supported by the empirical evidence collected from three construction projects. This paper adds to the literature on the development of safety leading indicators for the construction industry. The safety leading indicators developed in this paper provide the construction industry a promising tool to proactively measure safety performance and facilitate safety assessments.

Hanna, A S, Mikhail, G and Iskandar, K A (2017) State of Prefab Practice in the Electrical Construction Industry: Qualitative Assessment. Journal of Construction Engineering and Management, 143(02).

Kadry, M, Osman, H and Georgy, M (2017) Causes of Construction Delays in Countries with High Geopolitical Risks. Journal of Construction Engineering and Management, 143(02).

Kim, H, Ahn, C R and Yang, K (2017) Identifying Safety Hazards Using Collective Bodily Responses of Workers. Journal of Construction Engineering and Management, 143(02).

Love, P E D, Veli, S, Davis, P, Teo, P and Morrison, J (2017) {[}See the Difference{]} in a Precast Facility: Changing Mindsets with an Experiential Safety Program. Journal of Construction Engineering and Management, 143(02).

Ng, A W Y and Chan, A H S (2017) Mental Models of Construction Workers for Safety-Sign Representation. Journal of Construction Engineering and Management, 143(02).

Olaniran, O J, Love, P E D, Edwards, D J, Olatunji, O and Matthews, J (2017) Chaos Theory: Implications for Cost Overrun Research in Hydrocarbon Megaprojects. Journal of Construction Engineering and Management, 143(02).

Park, J, Kim, K and Cho, Y K (2017) Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors. Journal of Construction Engineering and Management, 143(02).

Park, Y, Gwak, H and Lee, D (2017) Dozer Workability Estimation Method for Economic Dozing. Journal of Construction Engineering and Management, 143(02).

Wang, C, Mohd-Rahim, F A, Chan, Y Y and Abdul-Rahman, H (2017) Fuzzy Mapping on Psychological Disorders in Construction Management. Journal of Construction Engineering and Management, 143(02).

Zhong, Y, Ling, F Y Y and Wu, P (2017) Using Multiple Attribute Value Technique for the Selection of Structural Frame Material to Achieve Sustainability and Constructability. Journal of Construction Engineering and Management, 143(02).