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Abotaleb, I S and El-adaway, I H (2018) First Attempt Toward a Holistic Understanding of the Interdependent Rippled Impacts Associated with Out-of-Sequence Work in Construction Projects: System Dynamics Modeling Approach. Journal of Construction Engineering and Management, 144(09).

Al-Bayati, A J and Al-Zubaidi, H A (2018) Inventory of Nanomaterials in Construction Products for Safety and Health. Journal of Construction Engineering and Management, 144(09).

Chen, R, Tan, Y, Zhang, B, Shen, W, Liu, G and Wang, Z (2018) Installation of Integral Prefabricated Bridge Abutment and Pier with Flexible Water Stop Curtain. Journal of Construction Engineering and Management, 144(09).

Cheng, M, Huang, K and Hutomo, M (2018) Multiobjective Dynamic-Guiding PSO for Optimizing Work Shift Schedules. Journal of Construction Engineering and Management, 144(09).

Chennarapu, H, Garala, T K, Chennareddy, R, Balunaini, U and Venkata Narasimha Reddy, G (2018) Compaction Quality Control of Earth Fills Using Dynamic Cone Penetrometer. Journal of Construction Engineering and Management, 144(09).

Gerami Seresht, N and Fayek, A R (2018) Dynamic Modeling of Multifactor Construction Productivity for Equipment-Intensive Activities. Journal of Construction Engineering and Management, 144(09).

Ghoddousi, P, Nasirzadeh, F and Hashemi, H (2018) Evaluating Highway Construction Projects’ Sustainability Using a Multicriteria Group Decision-Making Model Based on Bootstrap Simulation. Journal of Construction Engineering and Management, 144(09).

Hosseini, M R, Martek, I, Papadonikolaki, E, Sheikhkhoshkar, M, Banihashemi, S and Arashpour, M (2018) Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements. Journal of Construction Engineering and Management, 144(09).

Hu, C and Liu, D (2018) Improved Critical Path Method with Trapezoidal Fuzzy Activity Durations. Journal of Construction Engineering and Management, 144(09).

Lee, W and Migliaccio, G C (2018) Temporal Effect of Construction Workforce Physical Strain on Diminishing Marginal Productivity at the Task Level. Journal of Construction Engineering and Management, 144(09).

Meng, J, Yan, J and Xue, B (2018) Exploring Relationships between National Culture and Infrastructure Sustainability Using QCA. Journal of Construction Engineering and Management, 144(09).

Ong, H Y, Wang, C and Zainon, N (2018) Developing a Quality-Embedded EVM Tool to Facilitate the Iron Triangle in Architectural, Construction, and Engineering Practices. Journal of Construction Engineering and Management, 144(09).

Oti, A H, Tah, J H M and Abanda, F H (2018) Integration of Lessons Learned Knowledge in Building Information Modeling. Journal of Construction Engineering and Management, 144(09).

Pereira, E, Hermann, U, Han, S and AbouRizk, S (2018) Case-Based Reasoning Approach for Assessing Safety Performance Using Safety-Related Measures. Journal of Construction Engineering and Management, 144(09).

  • Type: Journal Article
  • Keywords: Safety performance; Safety management; Safety-related measures; Case-based reasoning; Genetic algorithm;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001546
  • Abstract:
    Although the use of safety-related measures (SRM) has been advocated in the literature, construction companies often rely on reactive indicators instead of SRM to evaluate safety performance. A challenge with using SRM in practice arises when faced with the uniqueness of construction organizations. Distinctive practices and cultures affect the availability and quantity of data, which in turn limits the reliability of conventional SRM-based evaluation methods. This study proposes a case-based reasoning (CBR) approach that makes efficient use of existing SRM available within an organization to reliably evaluate safety performance. The model was validated using statistical tests to compare model output with actual performance. To test model applicability, we conducted a case study: based on information available in an industrial construction organization, including schedule performance and payroll data, 27 measures were identified. The results demonstrated that the proposed approach is able to evaluate safety performance trends in consideration of unique organizational characteristics using SRM. We expect that the model approach and results will support managers in tailoring safety goals and programs to particular contexts.

Raoufi, M and Fayek, A R (2018) Framework for Identification of Factors Affecting Construction Crew Motivation and Performance. Journal of Construction Engineering and Management, 144(09).

Tang, Y, Wang, G, Li, H and Cao, D (2018) Dynamics of Collaborative Networks between Contractors and Subcontractors in the Construction Industry: Evidence from National Quality Award Projects in China. Journal of Construction Engineering and Management, 144(09).