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

Demand for Urban Pooled On-Demand Services

María Alonso González of our Smart Public Transport Lab has been awarded the 2nd prize of the European TRAVISIONS 2020 young researcher competition (cross modality category). Congrats Maria, well deserved!

This recognition of Maria’s excellent work joins the Michael Beesley Award for the best
young researcher paper at the Thredbo 16 international conference in Singapore. Her research has also been shortlisted among the top 12 submissions for the
2020 ITF (International Transport Forum) Young Researcher of the Year Award.

Interested in learning about Maria’s work? You can find here the her PhD dissertation entitled “Demand for Urban Pooled On-Demand Services: Attitudes, Preferences and Usage” which she defended in July.

The following journal publications are included in her PhD dissertation:
Alonso Gonzalez M., Cats O., van Oort N., Hoogendoorn-Lanser S., and Hoogendoorn S. (2020). What are the determinants of the willingness to share rides in pooled on-demand services?Transportation, in press.

Alonso Gonzalez M., van Oort N., Cats O., Hoogendoorn-Lanser S., and Hoogendoorn S. (2020). Value of Time and Reliability for Urban Pooled On-Demand Services. Transportation Research Part C, 115, 102621.

Alonso Gonzalez M., Hoogendoorn-Lanser S., van Oort N., Cats O. and Hoogendoorn S. (2020). Drivers and Barriers in Adopting Mobility as a Service (MaaS) – A Latent Class Cluster Analysis of Attitudes. Transportation Research Part A, 132, 378-401.

Alonso-Gonzalez M., Liu T., Cats O., van Oort N. and Hoogendoorn S. (2018).The Potential of Demand Responsive Transport as a Complement to Public Transport: An Assessment Framework and an Empirical Evaluation. Transportation Research Record, in press.

In addition, she contributed to more than 10 conference proceedings and numerous national and international events where she shared her research findings with experts, service planners and providers and other partners in the industry.

This work took place as part of the SCRIPTSproject financed by NWO which is a forerunner of the ERC project CriticalMaaS.

Avoiding the crowds

What is the crowding level that passengers find acceptable under various infection rate levels of the corona epidemic?

Fresh results from our survey show that train users are divided on this topic. Do you count yourself among the ‘crowd avoiders’ or ‘willing travelers’?

See our brief summary of the results here.

Together with Sanmay Shelat and Sander van Cranenburgh.

You can also find a short piece on the impacts of the pandemic on public transport here:

Openbaar vervoer en deelmobiliteit in en na de coronacrisis

And An English version of which is available here.

You may also check out TU Delft’s page which compiles studies on analyses and technologies of interest in the transition phase.

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!

Users preferences towards an automated door-to-door service

What is the impact of travel distance and travel purpose on travelers’ mode preferences in relation to automated driving transport service?

Our findings suggest that users adopting automated driving transport services are likely to prefer this mode for long-distance leisure trips rather than short-distance commuting trips.

Joint work with Peyman Ashkrof, Gonçalo Homem de Almeida Rodriguez Correia and Bart van Arem. Open Access.

Impact of Automated Vehicles on Travel Mode Preference for Different Trip Purposes and Distances