CityAI Lab: "A place where data, AI and behavioural theory come together"

Cities are hotspots of human activity that have increased our prosperity, happiness, and health. Yet the future liveability of cities around the world is under pressure as they face major social-technical challenges. Those challenges include crumbling social cohesion, income inequality, overcrowding of public spaces, and unhealthy local environments caused by factors such as heavy traffic and noise pollution. CityAI Lab examines the pivotal role that the urban environment plays in tackling such challenges.

Our research focusses on unravelling how the urban environment and human behaviour dance a tango. It capitalises on advances in machine learning and on the wealth of data available now at a city level. We combine these with established theories on planning and behaviour, hoping to contribute to the development of more attractive and liveable cities.

The CityAI Lab is part of the TU Delft AI Labs programme.

PhD Research Projects

Click on one of the projects to learn more about what we are doing at the CityAI Lab.

Using artificial intelligence to comprehend, automate and assist choice modellers` decisions
Urban factors shaping residential segregation patterns in cities
Vehicle coordination in urban traffic: a perspective from human behaviour and decisions
Understanding the relationships between urban space, perceptions and behaviours using urban embeddings
Listening to our Cities:
Using Smart Sensors and Machine Learning to Study Urban Noise Pollution
Diabolical dilemmas in allocating scarce health resources:
Combining choice modelling and machine learning to develop models of moral choice behaviour

The Team

Directors

Sander van Cranenburgh

Faculty of TPM
Lab director

Simeon Calvert

Faculty of CEG
Lab director

Oded Cats

Faculty of CEG
Lab director


PhD Candidates

Lucas Spierenburg

PhD Candidate

Yiru Jiao

PhD Candidate

Lion Cassens

PhD Candidate

Gabriel Nova

PhD Candidate

Nicholas Smeele

PhD Candidate


Associated faculty

Maarten Kroesen

Associated Faculty

Hans van Lint

Associated Faculty


Current master students

Bert Berkers

Master student

Esteban Ralon

Master student

Roos Terra

Master student

Lanlan Yan

Master student

Bastiaan Bakker

Master student