Between 1 and 2 out of 5 Uber trips have no viable public transport alternative. At the same time, in 15 percent of the cases in Amsterdam, public transport would actually have been faster than Uber. Check out this TU Delft news article, where we share our key results based on data from 3.5 million trips in 6 cities in the US and Europe.
At the Smart Public Transport Lab we are currently undertaking a series of studies related to the corona crisis. Given the urgency and the gravity of what is at stake, we share results as soon as we are confident that we can contribute to the policy and scientific debate with sound models and empirical findings.
Presenting at the Transit Data 2019 – the 5th International Workshop and Symposium on research and applications on the use of massive passive data for public transport on 8th -10th July in Paris, France. Contributions include the following studies:
– Generating network-wide travel diaries using smartcard data
– Enhanced complex network representation of public transport for accessibility assessment based on General Transit Feed Specification data
– Impact analysis of a new metro line in Amsterdam using automated data sources
– Predicting and clustering station vulnerability in urban networks
– Investigating the effects of real-time crowding information (RTCI) systems in urban public transport under different demand conditions
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