LIVEABLE CITY DIGITAL TWIN: A PILOT PROJECT FOR THE CITY OF LIVERPOOL (NSW, AUSTRALIA)

12 citations as recorded by crossref.

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2. Citizen-centric digital twin development with machine learning and interfaces for maintaining urban infrastructure F. Abdeen et al. 10.1016/j.tele.2023.102032
3. Digital twin in railway industry: a bibliometric analysis and systematic review Z. Zhang et al. 10.1080/27525783.2025.2533858
4. Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric study R. El-Agamy et al. 10.1007/s10462-024-10781-8
5. Digital Twin for Railway: A Comprehensive Survey S. Ghaboura et al. 10.1109/ACCESS.2023.3327042
6. RNN-XGBoost Integration into Digital Twins for Predicted Travel Time Geosimulation in Emergency Route Finding Z. Rezaei et al. 10.1007/s13177-025-00523-7
7. Low-Cost Data, High-Quality Models: A Semi-Automated Approach to LOD3 Creation . Harshit et al. 10.3390/ijgi13040119
8. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead C. Beil & T. Kolbe 10.3390/ijgi13100363
9. Data integration across urban digital twin lifecycle: a comprehensive review of current initiatives I. Jeddoub et al. 10.1080/19475683.2024.2416135
10. Global perspectives on digital twin smart cities: Innovations, challenges, and pathways to a sustainable urban future M. Alvi et al. 10.1016/j.scs.2025.106356
11. Le « jumeau numérique environnemental » à l’échelle du territoire, les données au cœur des cas d’usage F. Josse et al. 10.1051/shsconf/202419803003
12. Digital Twins for cities: Analyzing the gap between concepts and current implementations with a specific focus on data integration I. Jeddoub et al. 10.1016/j.jag.2023.103440