Uber both competes with, and complements public transport

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.

Check out the following article for more information: Uber both competes with, and complements public transport

The role of mobility in spreading COVID-19

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.

By now we are ready to share findings from two studies focusing on the role of mass transit and ride-sharing in spreading the virus. Welcome to check out our short articles following these links:
Virus spreading in public transport networks: the alarming consequences of the business as usual scenario [A slightly modified version is available on ResearchGate]

When sharing is not always caring: On the spreading processes in ride-sharing networks [A slightly modified version is available on ResearchGate]

And stay tuned for upcoming results from on-going studies.

PhD graduations – Ding, Menno and Panchamy

Had an eventful end of last month with three PhD graduations within a week span:

On February 21, Ding Luo defended his thesis entitled “Data-driven Analytics and Modeling of Passenger Flows and Networks for Public Transport Systems“.

Then, on February 26, Menno Yap defended his thesis on “Measuring, Predicting and Controlling Disruption Impacts for Urban Public Transport”. Menno was awarded for his work with a Cum-laude designation.

And, on February 27, Panchamy Krishnakumari defended her dissertation on “Multiscale Pattern Recognition of Transport Network Dynamics and its Applications“. Panchamy was awarded for her work with a Cum-laude designation.

Congratulations to the young doctors for their wonderful achievements!


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

You may find the sessions by browsing the program.

The more the merrier?

New paper on “The underlying effect of public transport reliability on users’ satisfaction”. We show that a a service designed for a satisfaction level of 80% may yield a satisfaction level of less than 30% due to the non-linear relation between service irregularity and related uneven crowdedness, and service satisfaction. Hence the amount of satisfaction loss increases for each additional passenger boarding the vehicle (metro, bus), making things even worse. In technical terms this means a marginally increasing loss in satisfaction with increasing passenger on-board occupancy.

Full paper is available here – “The underlying effect of public transport reliability on users’ satisfaction”

This publication is the result of a collaboration with the fantastic team from Pontificia Universidad Católica de Chile.