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Abdel-Monem, M and Hegazy, T (2013) Enhancing Construction As-Built Documentation Using Interactive Voice Response. Journal of Construction Engineering and Management, 139(07), 895–8.

Aljassmi, H and Han, S (2013) Analysis of Causes of Construction Defects Using Fault Trees and Risk Importance Measures. Journal of Construction Engineering and Management, 139(07), 870–80.

Chen, L and Fong, P S W (2013) Visualizing Evolution of Knowledge Management Capability in Construction Firms. Journal of Construction Engineering and Management, 139(07), 839–51.

Chen, Q and Jin, R (2013) Multilevel Safety Culture and Climate Survey for Assessing New Safety Program. Journal of Construction Engineering and Management, 139(07), 805–17.

Chi, S, Han, S and Kim, D Y (2013) Relationship between Unsafe Working Conditions and Workers’ Behavior and Impact of Working Conditions on Injury Severity in U.S. Construction Industry. Journal of Construction Engineering and Management, 139(07), 826–38.

  • Type: Journal Article
  • Keywords: Construction industry; Safety; Injuries; United States; Construction safety; Degree of injury; Unsafe working conditions; Unsafe worker behavior;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000657
  • Abstract:
    Unsafe acts of workers (e.g., misjudgment or inappropriate operation) become the major root causes of construction accidents when they are combined with unsafe working conditions (e.g., work surface conditions or weather) on a construction site. The overarching goal of the research presented in this paper is to explore ways to prevent unsafe acts of workers and reduce the likelihood of construction accidents occurring. The study specifically aims to (1) understand the relationships between human behavior related and working condition related risk factors, (2) identify the significant behavior and condition factors and their impacts on accident types (e.g., struck by/against, caught in/between, falling, shock, inhalation/ingestion/absorption, or respiratory failure) and injury severity (e.g., fatality, hospitalized, or nonhospitalized), and (3) analyze the fundamental accident-injury relationship on how each accident type contributes to the injury severity. The study reviewed 9,358 accidents that occurred in the U.S. construction industry between 2002 and 2011. The large number of accident samples supported reliable statistical analyses. The analysis identified a total of 17 significant correlations between behavior and condition factors and distinguished key risk factors that highly impacted on the determination of accident types and injury severity. The research outcomes will assist safety managers to control specific unsafe acts of workers by eliminating the associated unsafe working conditions and vice versa. They also can prioritize risk factors and pay more attention to controlling them to achieve a safer working environment.

Dai, F and Lu, M (2013) Three-Dimensional Modeling of Site Elements by Analytically Processing Image Data Contained in Site Photos. Journal of Construction Engineering and Management, 139(07), 881–94.

El-Abbasy, M S, Zayed, T, Ahmed, M, Alzraiee, H and Abouhamad, M (2013) Contractor Selection Model for Highway Projects Using Integrated Simulation and Analytic Network Process. Journal of Construction Engineering and Management, 139(07), 755–67.

El-Diraby, T E (2013) Domain Ontology for Construction Knowledge. Journal of Construction Engineering and Management, 139(07), 768–84.

Hare, B, Cameron, I, Real, K J and Maloney, W F (2013) Exploratory Case Study of Pictorial Aids for Communicating Health and Safety for Migrant Construction Workers. Journal of Construction Engineering and Management, 139(07), 818–25.

Liu, Y S, Zhao, X F and Liao, Y P (2013) Market Structure, Ownership Structure, and Performance of China’s Construction Industry. Journal of Construction Engineering and Management, 139(07), 852–7.

Migliaccio, G C, Guindani, M, D’Incognito, M and Zhang, L (2013) Empirical Assessment of Spatial Prediction Methods for Location Cost-Adjustment Factors. Journal of Construction Engineering and Management, 139(07), 858–69.

Rezazadeh Azar, E, Dickinson, S and McCabe, B (2013) Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles. Journal of Construction Engineering and Management, 139(07), 785–94.

Zhang, L, He, J and Zhou, S (2013) Sharing Tacit Knowledge for Integrated Project Team Flexibility: Case Study of Integrated Project Delivery. Journal of Construction Engineering and Management, 139(07), 795–804.