Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100174
Funder
Australian Research Council
Funding Amount
$805,000.00
Summary
Urban Analytics Data Infrastructure. Urban analytics data infrastructure:
This project aims to develop an urban analytics data infrastructure that builds on the Australian Urban Research Infrastructure Network. This digital data infrastructure intends to enable the integration, harmonisation, connectivity and scalability of multi-source urban datasets. This infrastructure is required to underpin the next generation of data-driven modelling and decision-support tools to enable the design of smar ....Urban Analytics Data Infrastructure. Urban analytics data infrastructure:
This project aims to develop an urban analytics data infrastructure that builds on the Australian Urban Research Infrastructure Network. This digital data infrastructure intends to enable the integration, harmonisation, connectivity and scalability of multi-source urban datasets. This infrastructure is required to underpin the next generation of data-driven modelling and decision-support tools to enable the design of smart, productive and resilient cities. These capabilities are predicated on the adoption of ISO standards, development of new ontological frameworks and an urban data dictionary to enable semantic inferencing of datasets and the development of data structures and services. This framework would then be applied to data relevant to people, land and urban infrastructure to support comparative and multi-dimensional analytics. Read moreRead less
Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice mode ....Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice models driven by real-world individual walking trajectory data. This project will deliver a step-change in transport planning for walking infrastructure that will lead to increased active transport and improved urban infrastructure planning, thereby resulting in significant gains in population and environmental health.Read moreRead less