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_id	caadria2023_57
id	caadria2023_57
authors	Alva, Pradeep, Mosteiro-Romero, Martin, Pei, Wanyu, Bartolini, Andrea, Yuan, Chao and Stouffs, Rudi
year	2023
title	Bottom-Up Approach for Creating an Urban Digital Twin Platform and Use Cases
doi	https://doi.org/10.52842/conf.caadria.2023.1.605
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 605–614
summary	Smart city initiatives have been a driving force for city-level dataset collection and the development of data-driven applications that benefit effective city management. There is a need to demonstrate use cases for effective city management using the available dataset. Urban Digital Twin (UDT) is a 3D city model that can integrate multi-disciplines and improve systems operability on a digital platform. However, UDTs are developed within organisations, and there is only limited availability of authoritative open 3D datasets to explore the potential of UDT concepts. This paper reports a methodology for creating a UDT platform for visualising and querying city energy data. We demonstrate a bottom-up approach to constructing an integrated 3D city dataset and create a query system for rapid access and navigation of the 3D city dataset through a visualisation platform using Cesium Ion. Various use cases are explored based on the dataset, such as building material stock management, energy demand simulation, electric vehicles (EV) demand and flexibility, and estimation of greenhouse gas (GHG) emissions. These use cases can help decision-makers and stakeholders involved in city planning and management. Furthermore, it provides a guideline for developers willing to create UDT applications for smart city initiatives.
keywords	Energy modelling, City dataset, Urban analytics, Building Stock Management, Decarbonisation
series	CAADRIA
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last changed	2023/06/15 23:14

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