Public Transit Riders’ Preferences: Evidence from Smart Card Transactions in Singapore
38 Pages Posted: 15 Sep 2017 Last revised: 9 May 2018
Date Written: May 8, 2018
We use a high-frequency administrative dataset containing transaction records of millions of smart transit cards in Singapore to model the mode choice of public transit riders. The results show that travel cost affects senior citizens, students, and children, while travel time affects mostly adult commuters, and travel time reliability affects most work-related trips. Our results imply that understanding heterogeneity in preferences across individuals and their traveling purposes is important in analyzing policy actions. We offer several targeted policy recommendations.
Keywords: Travel time, reliability, transport mode, smart city, big data
JEL Classification: C23, D04, R41, R48
Suggested Citation: Suggested Citation