| Issue |
E3S Web Conf.
Volume 386, 2023
Annual International Scientific Conferences: GIS in Central Asia – GISCA 2022 and Geoinformatics – GI 2022 “Designing the Geospatial Ecosystem”
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|
|---|---|---|
| Article Number | 05006 | |
| Number of page(s) | 10 | |
| Section | GIS in Land Use and Management, and Cadaster | |
| DOI | https://doi.org/10.1051/e3sconf/202338605006 | |
| Published online | 12 May 2023 | |
Implementation of GIS-based Smart Community Information System and concepts of Digital Twin in the field of urban planning in Uzbekistan
1 National Research University Tashkent Institute of Irrigation and Agricultural Mechanization Engineers”, Kory Niyoziy str., 39, 100000, Tashkent, Uzbekistan
2 Tashkent Architecture and Construction Institute, Navoiy str., 13, 100000, Tashkent, Uzbekistan
* Corresponding author: otabek.avezbaev@gmail.com
This article describes initiatives implemented in Uzbekistan to create a GIS-based Smart Community Information System (SCIS) and concepts of Digital Twin in the field of urban planning. The goal of the project is to create a GIS-based SCIS by introducing the concept of a Digital Twin to provide 3D maps, and plans, collect data necessary for spatial analysis and planning of territories, maintain and provide city master plans and district master plans, territorial zoning, land use and development rules, building codes and regulations, control over the process of construction, operation, repairs, and renovation. Based on the Esri product solutions, such as ArcGIS City Engine, ArcGIS Pro, Image Analyst, 3D Analyst, and ArcGIS Enterprise \ AGOL were created the initial version of the Digital Twin of the city of Tashkent. Also used CAD files, data from OSM, Airbus (DEM 24m), and SketchUp to work with detailed models and other data from different sources. The platform with advanced artificial intelligence and machine learning will provide reality capture, GIS and BIM integration, and real-time Internet of Things (IoT) support, allowing clients and organizations to collect, model, visualize, analyze and predict information on infrastructures and processes.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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