Geo+Social Analytics for Healthy Urban Environments
We will develop new computational tools that will mine and classify social media for statements that represent varying types and degrees of emotional stress. These tools will allow us to apply geospatial analysis methods to define dynamic stress landscapes, or stresscapes, that will help us to understand how stress varies from place-to-place and from time-to-time within urban centres. This will lead to new insights into how emotional stress is related to particular conditions (e.g. traffic congestion), place types and designs (e.g. public versus private places, high versus low density) and times (e.g. commuting rush hours) within urban communities.