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Ahmadian Fard Fini, A, Akbarnezhad, A, Rashidi, T H and Waller, S T (2018) Dynamic Programming Approach toward Optimization of Workforce Planning Decisions. Journal of Construction Engineering and Management, 144(02).

Chao, L and Kuo, C (2018) Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. Journal of Construction Engineering and Management, 144(02).

Choi, B and Lee, S (2018) An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management, 144(02).

  • Type: Journal Article
  • Keywords: Safety management; Safety behavior; Sociocognitive process; Agent-based modeling; Labor and personnel issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001421
  • Abstract:
    Workers’ unsafe behaviors have a substantial impact on construction safety. To regulate workers’ unsafe behavior, construction practitioners have mainly used formal controls (e.g., penalties). However, the formal approaches may not be effective at eliciting desired behavioral changes in improving safety behavior. Therefore, recently, researchers have paid more attention to how unsafe behaviors are produced. In this regard, cognitive models of safety behavior and empirical evidence on social influence have been suggested. However, there is a noticeable paucity of research investigating the mechanism behind the link between cognitive process, social influence, site risk, and safety behavior. In this paper, an empirically based agent-based model that incorporates theoretical and empirical findings of the sociocognitive process of workers’ safety behaviors is developed. The model is used to conduct experiments examining how the sociocognitive process interacts with safety management interventions (i.e., strictness and frequency of management feedback, and project identification) and influences workers’ safety behaviors across different site risk conditions (i.e., low-, modest-, and high-risk conditions). The results demonstrated that all three interventions contribute to decreasing the incident rate. Also, the interaction effects of the interventions in different site risk conditions were found using the parameter sweeping. The results indicated that (1) promoting workers’ project identification would be an effective strategy in the modest-risk site condition; (2) other interventions should be combined after achieving the medium strictness of management feedback in the high-risk site condition; and (3) other interventions would not be effective without very strict management feedback in the low-risk site condition. This paper contributes to the body of knowledge on construction safety by extending the authors’ understanding of the role of sociocognitive process and its interaction with the environment in shaping workers’ safety behaviors. Additionally, the experiment results are expected to lay a strong foundation for developing effective safety management interventions in the construction projects.

Du, J, Shi, Y, Zou, Z and Zhao, D (2018) CoVR: Cloud-Based Multiuser Virtual Reality Headset System for Project Communication of Remote Users. Journal of Construction Engineering and Management, 144(02).

El Meouche, R, Abunemeh, M, Hijaze, I, Mebarki, A and Shahrour, I (2018) Developing Optimal Paths for Evacuating Risky Construction Sites. Journal of Construction Engineering and Management, 144(02).

Fuller, J, Brown, C J and Crowley, R (2018) Performance-Based Maintenance Contracting in Florida: Evaluation by Surveys, Statistics, and Content Analysis. Journal of Construction Engineering and Management, 144(02).

Ghodoosi, F, Abu-Samra, S, Zeynalian, M and Zayed, T (2018) Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms. Journal of Construction Engineering and Management, 144(02).

Han, K, Degol, J and Golparvar-Fard, M (2018) Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring. Journal of Construction Engineering and Management, 144(02).

Kaminsky, J A (2018) National Culture Shapes Private Investment in Transportation Infrastructure Projects around the Globe. Journal of Construction Engineering and Management, 144(02).

Khanzadi, M, Nasirzadeh, F and Dashti, M S (2018) Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects. Journal of Construction Engineering and Management, 144(02).

Langdon, R R and Sawang, S (2018) Construction Workers’ Well-Being: What Leads to Depression, Anxiety, and Stress?. Journal of Construction Engineering and Management, 144(02).

Lessing, J and Brege, S (2018) Industrialized Building Companies’ Business Models: Multiple Case Study of Swedish and North American Companies. Journal of Construction Engineering and Management, 144(02).

Love, P E D, Teo, P and Morrison, J (2018) Revisiting Quality Failure Costs in Construction. Journal of Construction Engineering and Management, 144(02).

Moon, S, Xu, S, Hou, L, Wu, C, Wang, X and Tam, V W Y (2018) RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain. Journal of Construction Engineering and Management, 144(02).

Praticò, F G and Giunta, M (2018) Proposal of a Key Performance Indicator for Railway Track Based on LCC and RAMS Analyses. Journal of Construction Engineering and Management, 144(02).

Rashid, K M and Behzadan, A H (2018) Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Journal of Construction Engineering and Management, 144(02).

Said, H M and Bartusiak, J (2018) Regional Competition Analysis of Industrialized Homebuilding Industry. Journal of Construction Engineering and Management, 144(02).

Said, H M and Kandimalla, P (2018) Performance Measurement of Building Sheet-Metal Ductwork Prefabrication under Batch Production Settings. Journal of Construction Engineering and Management, 144(02).

Sangiorgio, V, Uva, G and Fatiguso, F (2018) Optimized AHP to Overcome Limits in Weight Calculation: Building Performance Application. Journal of Construction Engineering and Management, 144(02).

Stanford, M S and Molenaar, K R (2018) Influence of Simplified Procurement Methods on Competition for Public Sector Construction. Journal of Construction Engineering and Management, 144(02).

Tran, D Q, Diraviam, G and Minchin, R E (2018) Performance of Highway Design-Bid-Build and Design-Build Projects by Work Types. Journal of Construction Engineering and Management, 144(02).

Xiao, J, Li, X, Zhang, Z and Zhang, J (2018) Ontology-Based Knowledge Model to Support Construction Noise Control in China. Journal of Construction Engineering and Management, 144(02).

Yiu, T W, Liu, T and Kwok, L C (2018) Explicating the Role of Relationship in Construction Claim Negotiations. Journal of Construction Engineering and Management, 144(02).