Abstract
Construction Industry has always been reputed by its high incident rates and poor safety performance. Construction accidents are, in most cases, resulted from the unsafe behaviors of construction workers on site. The study of workers' behavior is crucial in order to understand the causation of unsafe behaviors. Therefore, the objective of this paper is to simulate construction safety behavior in order to predict the number of safety incidents and better understand their causation factors. The simulation model illustrates how construction system influences construction labors on site in terms of unsafe behavior. The standard leading indicators of safety performance are first identified from the literature. Afterwards, a system dynamics model is developed to simulate the factors that affect safety behavior of workers on site. Furthermore, cellular automaton is introduced to account for the effect of safety climate/environment on workers' behavior, and thus, to study construction safety as an emergent behavior. The model involves dependencies among managerial factors as well as environmental conditions and aims to serve as a tool for the simulation of various project and managerial decisions. A hypothetical project case study is used in order to test the model results as well as the dependencies between the dynamic variables.
Recommended Citation
M. A. Nabi et al., "A System Dynamics Model for Construction Safety Behavior," Procedia Computer Science, vol. 168, pp. 249 - 256, Elsevier B.V., May 2020.
The definitive version is available at https://doi.org/10.1016/j.procs.2020.02.254
Meeting Name
Complex Adaptive Systems Conference (2019: Nov. 13-15, Malvern, PA)
Department(s)
Civil, Architectural and Environmental Engineering
Second Department
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
13 May 2020
Included in
Civil Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons