ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING
| Autor: | N. Langenheim, S. Sabri, Y. Chen, A. Kesmanis, A. Felson, A. Mueller, A. Rajabifard, Y. Zhang |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W4-2022, Pp 95-100 (2022) |
| Druh dokumentu: | article |
| ISSN: | 1682-1750 2194-9034 |
| DOI: | 10.5194/isprs-archives-XLVIII-4-W4-2022-95-2022 |
| Popis: | Landscape architects and urban designers are often tasked with decision-making about implementation of flood moderating measures in urban renewal projects. These decisions require consideration of complex, interdependent existing and proposed infrastructure, and must be informed by data and modelling from multiple disciplines such as hydrologists, transport engineers and urban planners. Here we describe the challenges of integrating these data and modelling from both GIS and BIM sources, into a framework that could support flood moderation decision-making, embedded within a spatially enabled Digital Twin. Our findings outline some of the considerable adjustments to future data collection methods that will be required to enable such a decision-support framework. Furthermore, we outline the requirements of the framework for employability in stakeholders and community decision-making forums. We test this framework on a large-scale urban renewal precinct in Melbourne Australia, with well recognised current and future flooding issues. |
| Databáze: | Directory of Open Access Journals |
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