In recent decades, Building Information Modeling (BIM) is well-known and has been widely accepted by AEC industry since it could make less mistakes, conflicts, and bring more profits as well as improve the level of communication and coordination. However, in the Operation and Maintenance phase, most of the owners including the transit agencies, still lack the knowledge about what BIM deliverables and processes to demand and how to facilitate and encourage other stakeholders to apply BIM technology. Therefore, this research aims to support Public transit authority in adopting and utilizing BIM processes by means of assessing their current BIM execution status. Through conducting a survey and interview in transit agencies owners, this research focuses on what kind of information requirements the facilities management for BIM deliverables is demanding and how these deliverables are being jointly used for facilities management after completing the handover process of the public transit industry.

Mega construction projects (MCPs) are inherently high‐risk and complex. The challenge of safety management for mega construction projects is that safety risk factors constantly change and interact with each other in the long‐term construction period. Few of the prior studies have enabled the prediction of the safety state in a dynamic and connected overview, which is a critical characteristic of safety risks in MCPs. Therefore, a hybrid approach for the dynamic simulation of risk factors is proposed. A three‐stage procedure review of explicit documents, including accident investigation reports and construction standards, was carried out to identify safety risk factors and the causal relationships among them. Subsequently, the likelihood exposure and consequence (LEC) assessment method was applied to define the changes in risk factors over time. A system dynamics (SD) model was established to integrate the interacting risks and simulate the developing trend of the overall safety risk state. Moreover, a sensitivity analysis was provided to rank risk factors and simulate optimal risk mitigation strategies. Finally, the model was applied to the urban rail transit Line 9 project in China as a case study. The results indicated that the proposed hybrid approach performed satisfactorily under complex interrelated risk factors. Therefore, this study provides a practical framework to simulate and predict the safety state dynamically in a timely process for MCPs, either ahead of a project theoretically or during a project with real data.

The unsafe behavior of construction workers is the most direct reason of frequent construction site accidents. In order to improve the safety management of construction sites and figure out the causal relationship among the influencing factors in the field of construction workers’ unsafe behaviors, literature research, questionnaire survey, decision-making trial, and evaluation laboratory—interpretive structural modeling—crossimpact matrix multiplication applied to classification (DEMATEL-ISM-MICMAC) methods were used in combination in this thesis. The analysis of collected data was carried out in three dimensions: individual, organizational environment, and safety management. A framework about influencing factors of construction workers’ unsafe behaviors was constructed. DEMATEL-ISM was used to construct the explanatory structural model, which to analyze the influence relationships and hierarchical relationships among factors. MICMAC method was used to analyze the driving dependency. ISM model consists of six parts, the bottom of which includes three influencing factors: work environment, safety supervision, and concernment of superior. With characteristics of high drive and low dependence, the bottom layer are the root causes of construction workers’ unsafe behaviors. Work environment and concernment of superior are the core indicators of it. The intermediate layer with a low drive and low dependence covers six factors: psychological status, physical health, professional skills, organizational climate, work quota, and safety plan. It is the indirect factor to influence construction workers’ unsafe behaviors. The top layer is composed of safety awareness, safety education, and technical delivery. Safety awareness is the core of individual dimension, showing the characteristics of low drive and high dependence, is the direct factor to influence construction workers’ unsafe behaviors. Based on the DEMATEL-ISM-MICMAC method, the methodology to reduce construction workers’ unsafe behaviors was proposed.

This paper analyzes the causes of the unsafe behavior in construction workers and designs effective management measures. Through the identification, observation and investigation of the causes of construction workers' unsafe behavior, the cognitive reason is examined. In this paper, an event-related potential (ERP) measurement system consisting of a stimulus generation system (STIM), a signal acquisition and processing system, a subjects response system and a digital amplifier is constructed, and 15 people are tested as experimental subjects in the experimental research. The subjects are measured in the aspect of ERP signals before and after the psychological safety. The P3a components of the subjects are highest in the frontal area. In normal circumstances, P3a appears around 230ms, and the maximum amplitude appears around 270ms. Construction workers should subjectively create a healthy and stable psychological environment and control bad mood with rational minds.