Developing Campus Digital Twin Using Interactive Visual Analytics Approach

Area of Science:

• Digitalization and Smart Cities
• Built Environment Informatics
• Spatial-Temporal Data Analysis

Background:

• Digital Twins (DTs) offer significant potential for enhancing efficiency and decision-making in the built environment.
• Current DT implementation faces challenges including cost, complexity, interoperability, and data integration.

Purpose of the Study:

• To introduce a novel interactive visual analytics system designed to overcome common Digital Twin implementation hurdles.
• To demonstrate the system's application in simulating class distribution and campus building capacity.

Main Methods:

• Development of an interactive visual analytics system for Digital Twin applications.
• Leveraging university enrollment data, transformed into a spatial-temporal format.
• Case study analysis focusing on simulating class distribution and campus resource utilization.

Main Results:

• The system effectively addresses challenges related to cost, complexity, and data integration in DT development.
• Demonstrated adaptability and real-world applicability through a university campus case study.
• Successful simulation of class distribution and building capacity, optimizing resource utilization.

Conclusions:

• The developed visual analytics system provides a practical solution for implementing Digital Twins in the built environment.
• The approach facilitates informed decision-making regarding spatial-temporal resource allocation and campus planning.
• Highlights the potential of interactive visual analytics for advancing Digital Twin technology in urban and campus settings.