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Chen, L, Manley, K, Lewis, J, Helfer, F and Widen, K (2018) Procurement and Governance Choices for Collaborative Infrastructure Projects. Journal of Construction Engineering and Management, 144(08).

Cho, C, Kim, K, Park, J and Cho, Y K (2018) Data-Driven Monitoring System for Preventing the Collapse of Scaffolding Structures. Journal of Construction Engineering and Management, 144(08).

Faghih, S A M and Kashani, H (2018) Forecasting Construction Material Prices Using Vector Error Correction Model. Journal of Construction Engineering and Management, 144(08).

Hosseini, M R, Maghrebi, M, Akbarnezhad, A, Martek, I and Arashpour, M (2018) Analysis of Citation Networks in Building Information Modeling Research. Journal of Construction Engineering and Management, 144(08).

Ji, W and AbouRizk, S M (2018) Data-Driven Simulation Model for Quality-Induced Rework Cost Estimation and Control Using Absorbing Markov Chains. Journal of Construction Engineering and Management, 144(08).

Ji, W, AbouRizk, S M, Zaïane, O R and Li, Y (2018) Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering. Journal of Construction Engineering and Management, 144(08).

Kim, K, Cho, Y and Kim, K (2018) BIM-Driven Automated Decision Support System for Safety Planning of Temporary Structures. Journal of Construction Engineering and Management, 144(08).

Lee, J (2018) Value Engineering for Defect Prevention on Building Façade. Journal of Construction Engineering and Management, 144(08).

Maemura, Y, Kim, E and Ozawa, K (2018) Root Causes of Recurring Contractual Conflicts in International Construction Projects: Five Case Studies from Vietnam. Journal of Construction Engineering and Management, 144(08).

Pomares, J C, González, A and Saura, P (2018) Simple and Resistant Construction Built with Concrete Voussoirs for Developing Countries. Journal of Construction Engineering and Management, 144(08).

Qian, Q and Zhang, L (2018) Impact of Regulatory Focus on Choice of Project-Governance Modes: Role of Tolerance of Opportunistic Behavior. Journal of Construction Engineering and Management, 144(08).

Siebelink, S, Voordijk, J T and Adriaanse, A (2018) Developing and Testing a Tool to Evaluate BIM Maturity: Sectoral Analysis in the Dutch Construction Industry. Journal of Construction Engineering and Management, 144(08).

Su, C T, Santoro, M C and Mendes, A B (2018) Constructive Heuristics for Project Scheduling Resource Availability Cost Problem with Tardiness. Journal of Construction Engineering and Management, 144(08).

Tabish, S Z S and Jha, K N (2018) Beyond the Iron Triangle in Public Construction Projects. Journal of Construction Engineering and Management, 144(08).

Techera, U, Hallowell, M, Littlejohn, R and Rajendran, S (2018) Measuring and Predicting Fatigue in Construction: Empirical Field Study. Journal of Construction Engineering and Management, 144(08).

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001513
  • Abstract:
    The increasing commitment to safety over the last two decades has contributed to a 67% decline in recordable incident rates. The rate of fatalities, however, has recently increased. Human factors, like fatigue, strongly relate to fatalities. The prediction of fatigue would allow for an early intervention, thus mitigating safety risk. The literature suggests several potential predictors of fatigue onset; however, each of these was mainly studied in isolation, in laboratory settings, and their predictive validity in the construction industry remains unknown. The authors hypothesized that a set of measurable factors can predict construction worker fatigue. A field study of 252 US construction workers was conducted in which potential predictors and fatigue levels were assessed, and the first fatigue predictive models for construction workers were created. The models presented low to medium predictivity, demonstrating that laboratory research and results obtained from other occupations do not directly apply to the construction industry. Furthermore, fatigue predictive models showed to differ among trades. These models will serve the industry to better manage fatigue; however, further research in this area is needed.

Wang, X, Huang, X, Luo, Y, Pei, J and Xu, M (2018) Improving Workplace Hazard Identification Performance Using Data Mining. Journal of Construction Engineering and Management, 144(08).

Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. I: Background, Framework, and Initial Development. Journal of Construction Engineering and Management, 144(08).

Wu, W, Mayo, G, McCuen, T L, Issa, R R A and Smith, D K (2018) Building Information Modeling Body of Knowledge. II: Consensus Building and Use Cases. Journal of Construction Engineering and Management, 144(08).

Zuluaga, C M, Albert, A and Arroyo, P (2018) Protecting Bridge Maintenance Workers from Falls: Evaluation and Selection of Compatible Fall Protection Supplementary Devices. Journal of Construction Engineering and Management, 144(08).