Social and Behavioral Sciences Commons^™

Comparing Twitter And Lodes Data For Detecting Commuter Mobility Patterns, Jochen Albrecht, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, Aleisha Wright

Mineta Transportation Institute

Local and regional planners struggle to keep up with rapid changes in mobility patterns. This exploratory research is framed with the overarching goal of asking if and how geo-social network data (GSND), in this case, Twitter data, can be used to understand and explain commuting and non-commuting travel patterns. The research project set out to determine whether GSND may be used to augment US Census LODES data beyond commuting trips and whether it may serve as a short-term substitute for commuting trips. It turns out that the reverse is true and the common practice of employing LODES data to extrapolate …