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Ammar, M A (2011) Optimization of Project Time-Cost Trade-Off Problem with Discounted Cash Flows. Journal of Construction Engineering and Management, 137(01), 65–71.

Gull, I (2011) Testing of Strength of Recycled Waste Concrete and Its Applicability. Journal of Construction Engineering and Management, 137(01), 1–5.

Hariga, M and El-Sayegh, S M (2011) Cost Optimization Model for the Multiresource Leveling Problem with Allowed Activity Splitting. Journal of Construction Engineering and Management, 137(01), 56–64.

Hassan, M M, Odeh, I and El-Rayes, K (2011) New Approach to Compare Glare and Light Characteristics of Conventional and Balloon Lighting Systems. Journal of Construction Engineering and Management, 137(01), 39–44.

Lucko, G (2011) Integrating Efficient Resource Optimization and Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 137(01), 45–55.

Mitropoulos, P and Namboodiri, M (2011) New Method for Measuring the Safety Risk of Construction Activities: Task Demand Assessment. Journal of Construction Engineering and Management, 137(01), 30–38.

  • Type: Journal Article
  • Keywords: Safety; Risk management; Construction; Methodology; Safety risk assessment; Construction safety; Task demands; Risk assessment methodology;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000246
  • Abstract:
    The task demand assessment (TDA) is a new technique for measuring the safety risk of construction activities and analyzing how changes in operation parameters can affect the potential for accidents. TDA is similar to observational ergonomic methods—it does not produce estimates of probabilities of incidents, but it quantifies the “task demand” of actual operations based on characteristics of the activity and independent of the workers’ capabilities. The task demand reflects the difficulty to perform the activity safely. It is based on (1) the exposure to a hazard and (2) the presence and level of observable task demand factors—that is, risk factors that can increase the potential for an accident. The paper presents the findings from the initial implementation of TDA and demonstrates its feasibility and applicability on two different operations: a roofing activity and a concrete paving operation. Furthermore, the paving case illustrates how the TDA method can compare different production scenarios and measure the effect of production variables on the accident potential. The findings indicate that the method can be applied on activities of varying complexity and can account for several risks and task demand factors as required by the user. The selection of task demand factors is a key issue for the validity of the method and requires input from the crew and safety management. The limitations of the methodology and the need for further research are discussed. Overall, TDA provides a tool that can assist researchers and practitioners in the analysis and design of construction operations.

Rashidi, A, Jazebi, F and Brilakis, I (2011) Neurofuzzy Genetic System for Selection of Construction Project Managers. Journal of Construction Engineering and Management, 137(01), 17–29.

Regan, M, Smith, J and Love, P E D (2011) Impact of the Capital Market Collapse on Public-Private Partnership Infrastructure Projects. Journal of Construction Engineering and Management, 137(01), 6–16.

Shen, X, Lu, M and Chen, W (2011) Tunnel-Boring Machine Positioning during Microtunneling Operations through Integrating Automated Data Collection with Real-Time Computing. Journal of Construction Engineering and Management, 137(01), 72–85.

Zhou, Q, Fang, D and Mohamed, S (2011) Safety Climate Improvement: Case Study in a Chinese Construction Company. Journal of Construction Engineering and Management, 137(01), 86–95.