Urban activity pattern classification using topic models from online geo-location data
Geo-location data from social media has potential for activity-travel analysis. Identifies the limitations of geo-location data for activity-based modeling. Adopts a data-driven approach (topic model) for activity pattern classification. Extends the topic model to capture user-specific activity patterns. Extends to account for missing activities  a major issue of social media data.
activity pattern classification topic modeling social media activity-based modeling social computing location-based data big data machine learning