Artificial intelligence and future transport and mobility: What do cities want and how can urban planning respond?

In our February 2024 GM Policy Hub seminar, we focused on artificial intelligence in transport, and how this will impact urban and transport planning.

Experts agree that automated driving technologies constitute perhaps the most significant transformation in urban and transport planning since the invention of the private motor vehicle. AI applications in the transport sector could help unlock opportunities that are crucial to GM’s long-term growth and prosperity, and contribute to achieving carbon neutrality. However, AI applications are not without challenges.

As automated driving technologies are introduced gradually into cities, urban planning has a critical role to play in anticipating the implications of this transition and mediating unwanted consequences for societies. Policymakers must recognise and provide opportunities for diverse viewpoints in envisioning and creating desired mobility futures. Crucially – uncertainty cannot lead to inaction. Transport and mobility policies and plans must address local needs and strategic imperatives. Engagement and constructive dialogue are key.


  • Dr Ransford A. Acheampong, Senior Lecturer in Transport and Urban Futures at The University of Manchester
  • Sam Li, Senior Innovation Officer at Transport for Greater Manchester
  • Chaired by Professor Cecilia Wong, Professor of Spatial Planning at The University of Manchester and Academic Co-Director of Policy@Manchester

Recorded on Thursday 15 February 2024