Digital Twins (DTs) are increasingly recognized for their potential to improve efficiency and decision-making in various domains of the built environment. Despite their promise, challenges like cost, complexity, interoperability, and data integration remain. This paper introduces a novel interactive visual analytics system that tackles these issues, using a case study of simulating class distribution and campus building capacity at a large public university. The system leverages enrollment data, converting it into a spatial-temporal format for interactive exploration and analysis of class distribution and resource utilization. Through case studies, we demonstrate the system's effectiveness, adaptability, and real-world applicability, highlighting its role in practical DT implementation for built environments.
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Abstract -
Amiruzzaman, Md ; Curtis, Andrew ; Zhao, Ye ; Jamonnak, Suphanut ; Ye, Xinyue ( , Journal of Computational Social Science)null (Ed.)
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Jamonnak, Suphanut ; Zhao, Ye ; Curtis, Andrew ; Al-Dohuki, Shamal ; Ye, Xinyue ; Kamw, Farah ; Yang, Jing ( , International Journal of Geographical Information Science)
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Ma, Chao ; Zhao, Ye ; Curtis, Andrew ; Kamw, Farah ; Al-Dohuki, Shamal ; Yang, Jing ; Jamonnak, Suphanut ; Ali, Ismael ( , IEEE Computer Graphics and Applications)
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AL-Dohuki, Shamal ; Kamw, Farah ; Zhao, Ye ; Ye, Xinyue ; Yang, Jing ; Jamonnak, Suphanut ( , IEEE Intelligent Transportation Systems Conference)