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| Id | 2808 | |
| Author | Langenheim N.; Sabri S.; Chen Y.; Kesmanis A.; Felson A.; Mueller A.; Rajabifard A.; Zhang Y. | |
| Title | ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING | |
| Reference | Langenheim N.; Sabri S.; Chen Y.; Kesmanis A.; Felson A.; Mueller A.; Rajabifard A.; Zhang Y. ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING,International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 48 4/W4-2022 |
Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140297626&doi=10.5194%2fisprs-archives-XLVIII-4-W4-2022-95-2022&partnerID=40&md5=20e0f80b806867e687d6cd1580416b01 |
| Abstract | 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. Copyright © 2022 N. Langenheim et al. |
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