Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7136
Title: Developing a database to capture, store and share fall-related safety knowledge to enhance fall prevention in construction industry
Authors: Vignesh Kumar, C. 
Prof. LI Yi Man, Rita 
Liias, Roode 
Salve, Urmi Ravindra 
Issue Date: 2019
Source: ConVR 2019: Enabling digital technologies to sustain construction growth and efficiency. 19th International Conference on Construction Applications of Virtual Reality.
Project: Ocular behaviour, construction hazard awareness and an AI chatbot 
Willingness to share construction safety knowledge via Web 2.0, mobile apps and IoT = 建造業人員通過移動應用程式、網絡2.0和物聯網共享安全知識的意願 
Conference: 19th International Conference on Construction Applications of Virtual Reality 
Abstract: In many countries, falling from height is a leading cause of fatalities and injuries in the construction industry. Many of these accidents happen due to the dynamic nature of work and workplace uncertainty, as well as risky activities. Hence, the effective acquisition, storage and sharing of fall safety knowledge to address these construction hazards is needed to reduce the likelihood of accident. This paper has developed a framework based on safety knowledge which could facilitate the knowledge of safety officers/experts during the risk management process at pre-construction stage. This proposed framework aims to acquire, store, reuse and transfer knowledge of safety among practitioners about fall-related hazards and required measures to enhance safety awareness via Cloud SQL. The database for fall-related safety facilitates understanding among practitioners in the construction industry to encourage better safety planning and implement a fall prevention program.
Type: Conference Paper
URI: http://hdl.handle.net/20.500.11861/7136
Appears in Collections:Economics and Finance - Publication

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