Roles of artificial intelligence in construction engineering and management: A critical review and future trends

Y Pan, L Zhang - Automation in Construction, 2021 - Elsevier
With the extensive adoption of artificial intelligence (AI), construction engineering and
management (CEM) is experiencing a rapid digital transformation. Since AI-based solutions …

[HTML][HTML] Safety risk management of underground engineering in China: Progress, challenges and strategies

Q Qian, P Lin - Journal of Rock Mechanics and Geotechnical …, 2016 - Elsevier
Underground construction in China is featured by large scale, high speed, long construction
period, complex operation and frustrating situations regarding project safety. Various …

Multi-classifier information fusion in risk analysis

Y Pan, L Zhang, X Wu, MJ Skibniewski - Information Fusion, 2020 - Elsevier
This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …

Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D–S evidence theory

Y Pan, L Zhang, ZW Li, L Ding - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs),
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …

[HTML][HTML] A decision support system for selection and risk management of sustainability governance approaches in multi-tier supply chain

A Jamalnia, Y Gong, K Govindan, M Bourlakis… - International Journal of …, 2023 - Elsevier
Lower-tier suppliers' sustainability noncompliance and focal company's failure at meeting
the expectations of the stakeholders to extend sustainability towards lower-tier suppliers …

Constructing a Bayesian network model for improving safety behavior of employees at workplaces

I Mohammadfam, F Ghasemi, O Kalatpour… - Applied ergonomics, 2017 - Elsevier
Introduction Unsafe behavior increases the risk of accident at workplaces and needs to be
managed properly. The aim of the present study was to provide a model for managing and …

A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment

X Guo, J Ji, F Khan, L Ding, Q Tong - Safety science, 2021 - Elsevier
Risk assessment (RA) plays a vital role in safety engineering. The conventional RA
approaches have limited capabilities in handling time dependence and data uncertainty …

A hybrid BN-HFACS model for predicting safety performance in construction projects

N **a, PXW Zou, X Liu, X Wang, R Zhu - Safety science, 2018 - Elsevier
Lacking a holistic framework for analyzing risk factors would result in the inaccurate
assessment of safety performance and poor safety management. This research aims to …

A data-driven and knowledge graph-based analysis of the risk hazard coupling mechanism in subway construction accidents

X Huo, Y Yin, L Jiao, Y Zhang - Reliability Engineering & System Safety, 2024 - Elsevier
With the development and expansion of subway construction, accidents usually cause
economic losses and seriously threaten personnel safety. Exploring the experience and …