This study employs an administrative dataset containing high-frequency transaction records for approximately four million smart transit cards used by Singaporean residents in order to study the travel preferences of public transport commuters. We examine the impact of service attributes,...

We use a unique dataset from a Singaporean taxi fleet consisting of 6,663 drivers with 23 months of daily work routines to test if taxi drivers exhibit learning by doing (LBD). We find strong evidence of LBD. Next, we document the channels of learning: drivers learn the most through technology...

We present new evidence that providing information intervention is a cost-efficient way to optimize an individual's decision-making process. Using the Taxi Management System implemented by Singapore Changi Airport on December 25, 2009 as a source of exogenous variation for identification, we...