Project title
Geotagging Leisure: Utilising Geo-Tagged Social Media Data for Identifying Leisure Hubs
Project aim
By leveraging geo-tagged data from social media platforms like Foursquare, this project investigates the spatial patterns and public perceptions surrounding leisure activities across various urban neighbourhoods.
Project outline
This project examines the innovative intersection of urban computing and social media analytics to identify and analyse leisure hubs within London.
The project employs a combination of sentiment analysis, machine learning algorithms, and geospatial mapping technologies to process and visualise extensive social media data.
These methodologies provide new insights into urban leisure dynamics, offering real-time evaluations of public sentiment and spatial distributions. The findings contribute to the fields of urban planning and policy-making by enhancing traditional approaches to data-driven insights.
This project enables a nuanced understanding of urban leisure behaviours, which is crucial for city planners and stakeholders aiming to improve urban vitality and social cohesion. Overall, the project encapsulates how the integration of advanced computational techniques and social media data can transform urban development strategies and foster more vibrant and inclusive urban environments.
