Understanding the relationship between safety investment and safety performance of construction projects through agent-based modeling

Lu, Miaojia; Cheung, Clara; Li, Heng; Hsu, Shu-Chien

doi:10.1016/j.aap.2016.05.014

Cited by 94 publications

(80 citation statements)

References 35 publications

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“…This need is determined by the present-day conditions, where "the operational management of risks must be performed in the place of their occurrence" [5,6].…”

Section: Resultsmentioning

confidence: 99%

Risk Management in the Implementation of Smart Building Projects

Kankhva

2017

MATEC Web Conf.

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Abstract.This article contains the results of a study of the risk control structure in the implementation of smart building projects, which are presented herein in the form of an operational risk management mechanism developed by the author and an improved definition of the risk management system. The mechanism is developed based on the analysis of a review of the current state of the construction sector and the existing organizational structures of construction companies, as well as based on the identification of new necessary functions and objectives of risk management systems. The results of the study can be used in the process of development and integration of risk management systems by the existing construction companies specialized in the construction of smart buildings.

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“…This need is determined by the present-day conditions, where "the operational management of risks must be performed in the place of their occurrence" [5,6].…”

Section: Resultsmentioning

confidence: 99%

Risk Management in the Implementation of Smart Building Projects

Kankhva

2017

MATEC Web Conf.

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“…There are 100 workers on the simulated construction site, consisting of five work groups with 20 workers in each work group. According to the study of Lu et al [69], a foreman usually supervises 20 workers in one group. The duration of the simulation is set at 280 days, based on an actual engineering project.…”

Section: Simulation Processmentioning

confidence: 99%

Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

Yue

Yang

et al. 2020

IJERPH

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Previous literature has recognized that workers' unsafe behavior is the combined result of both isolated individual cognitive processes and their interaction with others. Based on the consideration of both individual cognitive factors and social organizational factors, this paper aims to develop an Agent-Based Modeling (ABM) approach to explore construction workers' sociocognitive processes under the interaction with managers, coworkers, and foremen. The developed model is applied to explore the causes of cognitive failure of construction workers and the influence of social groups and social organizational factors on the workers' unsafe behavior. The results indicate that (1) workers' unsafe behaviors are gradually reduced with the interaction with managers, foremen, and workers; (2) the foreman is most influential in reducing workers' unsafe behaviors, and their demonstration role can hardly be ignored; (3) the failure of sociocognitive process of construction workers is affected by many factors, and cognitive process errors could be corrected under social norms; and (4) among various social organizational factors, social identity has the most obvious effect on reducing workers' unsafe behaviors, and preventive measures are more effective than reactive measures in reducing workers' unsafe behaviors.

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“…NetLogo is used as the ABM tool for this study. NetLogo is a multi-agent programmable modeling software program (Wilensky, 1999) that can be used to study the interaction between multiple heterogeneous agents and the phenomena that emerge as a result of their interaction over time (Lu, Cheung, Li, & Hsu, 2016). NetLogo has been applied in several studies in supply chain management for modeling and simulation.…”

Section: Agent Based Modeling (Abm)mentioning

confidence: 99%

Agent-Based Model of Sand Supply Governance Employing Blockchain Technology

2018

Annual Simulation Symposium (ANSS 2018)

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Sand is a key ingredient for many industries, including concrete, glass, and electronics. Sand extraction is now exceeding fossil fuels and biomass. The absence of data on aggregates sand mining makes assessments difficult and has contributed to the lack of awareness about this issue. A sand governance business framework is developed applying the blockchain technology as the main goal of this study to regulate the sand extraction and trade. Blockchain technology provides a distributed concurrency monitoring system for the supply management. Agent-Based Modeling and Simulation (ABMS) as an effective bottom-up tool is applied to demonstrate the application of the model. The sand providers and users are modeled as a collection of autonomous decision-making entities called agents. The agents interact with each other, the regulators participate in making decisions on the basis of a set of rules that are defined within the blockchain network.

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Understanding the relationship between safety investment and safety performance of construction projects through agent-based modeling

Cited by 94 publications

References 35 publications

Risk Management in the Implementation of Smart Building Projects

Risk Management in the Implementation of Smart Building Projects

Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

Agent-Based Model of Sand Supply Governance Employing Blockchain Technology

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