Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 12 results ...

Costa, L, Barbosa, M B A, Baldam, R d L and Coelho, T d P (2019) Challenges of Process Modeling in Architecture and Engineering to Execute Projects and Public Works. Journal of Construction Engineering and Management, 145(01).

Han, Y, Feng, Z, Zhang, J, Jin, R and Aboagye-Nimo, E (2019) Employees’ Safety Perceptions of Site Hazard and Accident Scenes. Journal of Construction Engineering and Management, 145(01).

  • Type: Journal Article
  • Keywords: Construction safety; Accident category; Safety hazards; Individual perception; Work trades; Human factors; Subgroup analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001590
  • Abstract:
    Despite the improvement of digital technologies (e.g., building information modeling) in enhancing construction safety management, human factor–related issues such as individual perceptions, attitudes, and behavior in safety cannot be downplayed. Existing studies have adopted safety management approaches that address human-factor issues by defining safety climate. From safety climate research, it is evident that certain demographics or subgroup factors can significantly affect safety management. This study aimed to investigate how individual perceptions of safety hazards would be affected by the given hazard’s own feature (e.g., probability of occurrence). In addition, the study explored the impacts of subgroup demographic factors (e.g., job position and experience level) on safety perceptions. Eight commonly encountered site hazard/accident scenes were predefined according to their occurrence, severity, and visibility. A site survey approach was adopted to investigate how construction employees from different demographic subgroups rated the degree of danger of the eight predefined scenes. The follow-up statistical analysis revealed that (1) a hazard/accident scene with higher occurrence and lower severity caused a higher variation among employees’ opinions in perceiving its degree of danger; (2) entry-level employees tended to evaluate hazards with a higher degree of danger; and (3) compared to early career employees and senior peers, the mid-career professionals tended to perceive a lower degree of danger of a given hazard/accident scene. This study contributed to the body of knowledge in construction safety by investigating the effects of the given hazard/accident’s feature (e.g., occurrence) in employees’ perceptions, as well as integrating different scenes of safety hazards in the subgroup analysis based on employees’ job duties or work trades and their experience levels. Future research is also recommended to address individuals’ safety perceptions and demographic factors in safety management.

Jeelani, I, Albert, A, Han, K and Azevedo, R (2019) Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology. Journal of Construction Engineering and Management, 145(01).

Lee, C, Won, J and Lee, E (2019) Method for Predicting Raw Material Prices for Product Production over Long Periods. Journal of Construction Engineering and Management, 145(01).

Lee, J and Hyun, H (2019) Multiple Modular Building Construction Project Scheduling Using Genetic Algorithms. Journal of Construction Engineering and Management, 145(01).

Nasirian, A, Arashpour, M and Abbasi, B (2019) Critical Literature Review of Labor Multiskilling in Construction. Journal of Construction Engineering and Management, 145(01).

Ryu, J, Seo, J, Jebelli, H and Lee, S (2019) Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker. Journal of Construction Engineering and Management, 145(01).

Tang, W, Cui, Q, Zhang, F and Chen, Y (2019) Urban Rail-Transit Project Investment Benefits Based on Compound Real Options and Trapezoid Fuzzy Numbers. Journal of Construction Engineering and Management, 145(01).

Techera, U, Hallowell, M and Littlejohn, R (2019) Worker Fatigue in Electrical-Transmission and Distribution-Line Construction. Journal of Construction Engineering and Management, 145(01).

Zhang, M, Cao, T and Zhao, X (2019) Using Smartphones to Detect and Identify Construction Workers’ Near-Miss Falls Based on ANN. Journal of Construction Engineering and Management, 145(01).

Zhang, S, Liu, X, Gao, Y and Ma, P (2019) Effect of Level of Owner-Provided Design on Contractor’s Design Quality in DB/EPC Projects. Journal of Construction Engineering and Management, 145(01).

Zhang, Y, Luo, H, Skitmore, M, Li, Q and Zhong, B (2019) Optimal Camera Placement for Monitoring Safety in Metro Station Construction Work. Journal of Construction Engineering and Management, 145(01).