SCQUAIR

Principal investigator, Richard Milton from the University College London has developed a model, called Small Changes, QUANT and AI Resilience (SCQUAIR), which simulates the pattern of land use and transportation for Great Britain.

The model is called QUANT and it runs in a web-based environment. It is optimised to run very rapidly and deliver results to the user in a matter of minutes so that users can derive and test future scenarios for land use and transport, on-the-fly . The model looks at ‘what-if’ scenarios so users can run thousands of scenarios of the use of land and transport to predict impacts that enable stakeholders to test various plans. The data from these scenarios can then be used to train various optimisation models that show how future plans for the location of land uses and transport can be massively improved.

The model predicts the impacts of such scenarios and will fashion various user environments around the use of DAFNI that enable stakeholders to test various plans and to demonstrate how AI techniques can be used to inform the generation of many scenarios. The team will demonstrate how models such as these can be used effectively to generate the impacts of shocks to the land use transport system such as those posed by new infrastructure projects, such as the HS2 (High Speed Two) in Birmingham, which are continually being evolved. The fact that our model deals with different transport networks for Great Britain enables us to trace the repercussions of land use and transport change across networks that are composed of thousands of nodes and links which is key to assessing the repercussions of major changes on the UK’s urban system.

It will also demonstrate how artificial intelligence (AI) can be used to inform the generation of many scenarios.

This includes the impact of shocks to the land by new infrastructures such as High Speed Two in Birmingham.