Dr. Pin-Chao Liao

Tsinghua University, China

 

Talk Title
Recognizing Hazards in the Dynamic Workplace
Talk Abstract

On the basis of risk management theories, Pin-Chao Liao employed data analytic approaches to investigate the hazard characteristics of construction safety management. Assuming hazards are mutually interdependent and ultimately trigger accidents, his research revealed cascading hazard chains using complicated networking techniques. Sequentially, he labeled hazards with special and temporal characteristics using data mining techniques, thereby considerably enhancing the efficiency of construction safety planning. These research results enable inspection plans to be updated in real time and make it possible to provide early warning of cascading hazard chains.

On this basis, Pin-Chao Liao also assessed issues relating to human-environment interaction with visual analytics from an experimental psychology perspective. The metaphysical layout of hazards was derived as a major function for the quantification of hazard recognition ability. Underpinning his research in hazard recognition ability, he also explored the navigation effectiveness of augmented reality, highlighting future development trends of training methods and techniques for hazard monitoring/control. Additionally, Pin-Chao Liao argued that temporal changing patterns should be included in risk assessment rather than solely relying on static hazardous states. Therefore, he used fluid dynamic models to incorporate the theory of the rectification of hazards into existing risk assessment agenda. The proposed model includes hazard-warning functions for risk assessment approaches.

Bridging project management to profile management, he dedicated himself to integrating the above results in a current decision support system (DSS). He involved multiple stakeholders in the DSS by proposing a collaborative safety management system among government, client/ contractors, and third parties (e.g., insurance agents). The collaborative DSS involves a three-layer framework consisting of preparation, monitoring, integration, reporting, and intervention layers, functioning as an interconnecting platform to collect, analyze, and disseminate safety information. The collaborative DSS enables different stakeholders to provide instant feedback for in-time risk response, reducing the probability of accidents during project execution.

Short Biography

Pin-Chao Liao is an Associate Professor with the Department of Construction Management, Tsinghua University, China. He has published more than 40 peer-reviewed jornal articles. His research interests include Occupational Health and Safety, Ergonomics; Cognitive / Behavior Science, Risk Analysis, Data / Visual Analytics; Research Interests - Infographic. And his social service includes reviewing ASCE Journal of Management in Engineering (SCI), KSCE Journal of Civil Engineering (SCI), Sustainable Development (SSCI), and Construction Management and Economics (EI). He is also a member of the Project Management Institute.

 
Talk Keywords
Cascading hazard chains, Risk assessment, Cognitive phsychologies, collabortive DSS.
 
Target Audience
Students, Post doctoral, Industry, Doctors and professors
 
Speaker-intro video
TBA
 

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