The CUSP London data dive brings together global student teams to address urban data challenges. This year we will consider relationships between urban data variables in the domains of:
- Transport
- Safety
- Air Quality
- Health
In cities such as:
- London
- Newcastle
- New York
How can we quantify urban data relationships and what insights can be obtained to make our cities accessible, healthier and more liveable?
NUMBAT/crowding rail data, for changes in passenger numbers, train frequencies, etc.
Cycling infrastructure database, to look at changes in cycling infrastructure.
Bus Open Data Service extracts
Bus Open Data Service extracts
London Air Quality Network: LAQN data is easily accessible via the Openair R package
Fingertips respiratory deaths by MSOA
London Health Inequalities Strategy Indicators
GLA Equalities, Diversity and Inclusion Meausres