ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING

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.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
ADAPTING A DIGITAL TWIN TO ENABLE REAL-TIME WATER SENSITIVE URBAN DESIGN DECISION-MAKING ; volume:XLVIII-4/W4-2022 ; year:2022 ; pages:95-100 ; extent:6
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-4/W4-2022 (2022), 95-100 (gesamt 6)

Creator
Langenheim, Nano
Sabri, Soheil
Chen, Yiqun
Kesmanis, Alice
Felson, Alex
Mueller, Anna
Rajabifard, Abbas
Zhang, Yibo

DOI
10.5194/isprs-archives-XLVIII-4-W4-2022-95-2022
URN
urn:nbn:de:101:1-2022102005375871244249
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:26 AM CEST

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Associated

  • Langenheim, Nano
  • Sabri, Soheil
  • Chen, Yiqun
  • Kesmanis, Alice
  • Felson, Alex
  • Mueller, Anna
  • Rajabifard, Abbas
  • Zhang, Yibo

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