Digital Twin for Real -Time sensitive urban design decision making

2021 - 2022


A Decision Support Tool was developed in CSDILA Digital Twin to understand the stormwater capacity of proposing new road networks in each catchment area.

About the Project

This interdisciplinary project brings together landscape architectures, geospatial scientists, and city modelers to design and implement an ecological adaptation scenario builder in a Digital Twin (DT) environment. The scenario builder is capable of measuring inundation and modeling climate change impacts, as an urban planning and design tool. This will enable the visualisation and testing of incremental flood defense and adaptation. planning scenarios to be explored by decision-makers and other stakeholders to directly inform the planning process. The idea will be tested at Fishermans Bend, Australia’s largest urban renewal project, near Melbourne’s CBD. The aim is to develop a holistic and near- to long-term resilient floodplain redevelopment analytic. Therefore, this project will answer the following question:

* What are effective near- mid- and long-term incremental design scenarios for the Fishermans Bend precinct development and landscape that can be planned and built to make the site resilient to climate change in 30,70 years and 100 years?


* A panel in CSDILA Digital Twin for water-sensitive urban design scenarios and decision making

* Utilising road network drawing and modification functions for stormwater management

* Developing an interface between stormwater management, buildings, and streets

Collaborating Team

  1. Professor Abbas Rajabifard
  2. Professor Alex Felson
  3. Dr. Nano Langeheim
  4. Anna Mueller
  5. Prof. Alice Kesminas
  6. Dr. Soheil Sabri
  7. Dr. Benny Chen
  8. Yibo Zhang