An Interactive 3D Physical Model for Real-Time Management of the Built Environment

1 Egypt’s GDP Developments for the fourth quarter and FY 2023/2024 [online, cited 19.02.2025]. https://mped.gov.eg/singlenews?id=5718&lang=en Search in Google Scholar

2 Greenfield, E. A., Buffel, T. Age-Friendly Cities and Communities: Research to Strengthen Policy and Practice. J. Aging Soc. Policy, vol. 34, 2022, pp. 161–174. https://doi.org/10.1080/08959420.2022.2049573 Search in Google Scholar

3 He, W., Chen, M. Advancing Urban Life: A Systematic Review of Emerging Technologies and Artificial Intelligence in Urban Design and Planning. Buildings, vol. 14, no. 3, 2024, p. 835. https://doi.org/10.3390/BUILDINGS14030835 Search in Google Scholar

4 Batty, M. Digital twins. Environment and Planning B: Urban Analytics and City Science, vol. 45, no. 5, 2018, pp. 817–820. https://doi.org/10.1177/2399808318796416 Search in Google Scholar

5 Underkoffler, J., Ishii, H. Urp: A luminous-tangible workbench for urban planning and design. Conference on Human Factors in Computing Systems – Proceedings, 1999, pp. 386–393. https://doi.org/10.1145/302979.303114 Search in Google Scholar

6 Zhang, Y., Grignard, A., Aubuchon, A., Lyons, K., Larson, K. Machine Learning for Real-time Urban Metrics and Design Recommendations. Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA), 2018, pp. 196–205. https://doi.org/10.52842/CONF.ACADIA.2018.196 Search in Google Scholar

7 Cesario, E. Big data analytics and smart cities: applications, challenges, and opportunities. Front Big Data, vol. 6, 2023, 1149402. https://doi.org/10.3389/fdata.2023.1149402 Search in Google Scholar

8 Hoggenmüller, M., Tomitsch, M., Parker, C., Nguyen, T. T., Zhou, D., Worrall, S., et al. A Tangible Multi-Display Toolkit to Support the Collaborative Design Exploration of AV-Pedestrian Interfaces. ACM International Conference Proceeding Series, 2020, pp. 25–35. https://doi.org/10.1145/3441000.3441031 Search in Google Scholar

9 Cities: The century of the city. Nature, vol. 467, 2010, pp. 900–901. https://doi.org/10.1038/467900A Search in Google Scholar

10 Zheng, C., Gu, Y., Shen, J., Du, M., Ma, G., Sun, K. Comprehensive Evaluation of Urban Integrated Transportation Network with Multivariate Statistical Analysis: a case study of Haimen. IEEE Access, vol. 9, 2021, pp. 165034–165048. https://doi.org/10.1109/ACCESS.2021.3132169 Search in Google Scholar

11 Ibrahim, I. K. Managing interaction, location, and communication in mobile information systems. Mobile Information Systems, vol. 2, 2006, pp. 93–94. https://doi.org/10.1155/2006/605231 Search in Google Scholar

12 Conso, F., Grassi, M., De Berti, C., Malcovati, P., Baschirotto, A. I₂C System-on-Chip for bi-dimensional gas-sensor arrays providing extended dynamic-range A/D conversion and row temperature regulation. International Conference on IC Design & Technology, 2013, pp. 211–214. https://doi.org/10.1109/ICICDT.2013.6563339 Search in Google Scholar

13 Shih, L. M., Tsai, H. L., Tsai, C. Y. Design and Evaluation of Wireless DYU Air Box for Environment-Monitoring IoT System on Da-Yeh University Campus. Applied Sciences, vol. 14, no. 5, 2024, p. 2201. https://doi.org/10.3390/app14052201 Search in Google Scholar

14 Adreani, L., Bellini, P., Fanfani, M., Nesi, P., Pantaleo, G. Smart City Digital Twin Framework for Real-Time Multi-Data Integration and Wide Public Distribution. arXiv:2309.13394. https://doi.org/10.48550/arXiv.2309.13394 Search in Google Scholar

15 Kensek, K. M. Integration of Environmental Sensors with BIM: Case studies using Arduino, Dynamo, and the Revit API. Informes de la Construccion, vol. 66, no. 536, 2014, e044. https://doi.org/10.3989/IC.13.151 Search in Google Scholar

16 Urbano [online, cited 21.09.2024]. https://www.urbano.io/ Search in Google Scholar

17 Goodchild, M. F. Geographic information systems and science: today and tomorrow. Procedia Earth and Planetary Science, vol. 1, no. 1, 2009, pp. 1037–1043. https://doi.org/10.1016/J.PROEPS.2009.09.160 Search in Google Scholar

18 Qiu, G., Wang, Y., Guo, S., Niu, Q., Qin, L., Zhu, D., et al. Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region. Sustainability, vol. 14, no. 4, 2022, 2286. https://doi.org/10.3390/SU14042286 Search in Google Scholar

19 Monga, R., Mehta, D. Sumo (Simulation of Urban Mobility) and OSM (Open Street Map) Implementation. In: Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022, 2022, pp. 534–538. https://doi.org/10.1109/SMART55829.2022.10046720 Search in Google Scholar

20 Dogan, T., Yang, Y., Samaranayake, S., Saraf, N. Urbano: A Tool to Promote Active Mobility Modeling and Amenity Analysis in Urban Design. Technology|Architecture + Design 2020; vol. 4, no. 1, 2020, pp. 92–105. https://doi.org/10.1080/24751448.2020.1705716 Search in Google Scholar

21 Ajer, J., Ahmad, M. Z. H. B. Evaluation and analysis of the role of urban planners and managers in sustainable urban development (Case study: The cities in Sistan region). American Journal of Engineering Research, vol. 4, no. 3, 2015, pp. 95–103. Search in Google Scholar