Oded Cats’ Post

Counting down for CASPT and TransitData2025! Submissions of Regular Papers (up to 8 pages) are due by Nov 30. Authors of selected papers will be invited to submit an extended version of their paper to special issues, including in the Journal of Public Transportation, see details here: https://lnkd.in/eQrjnjS2

What are the main market segments in relation to car attitudes? Are there more 'car lovers' than 'car detractors' out there? and what are the typical characteristics of these groups? https://lnkd.in/efbNc78m We identify and characterise traveller segments in terms of their car-related attitudes and how different sociodemographic attributes, travel behaviour characteristics (such as using cars as the primary mode of transportation), and the accessibility of their place of residence vary amongst different population segments. Using Confirmatory Factor Analysis and Latent Profile Analysis we identify five different classes, namely car-detractors, −hesitants, −positives, −friends, and −lovers. We find that attitudinal differences relate mostly to modal preference rather than to the underlying travel demand patterns and the associated activities. open-access, with Jaime Soza-Parra, research work supported by AMS Institute and using data from the Netherlands Mobility Panel, which is administered by Kennisinstituut voor Mobiliteitsbeleid (KiM)

Can shared rides scale? https://lnkd.in/eU6JbPBi We show they can if we 'transit' them. More so, this may even pave the way for new methods to design transit networks. We introduce so-called hyper-pooled rides along with a method to identify them within urban demand patterns. Hyper-pooled rides are purely demand-driven, with itineraries (stop locations, sequences, timings) optimised for all co-travellers by recursively applying our #ExMAS algorithm. For 2000 trips in Amsterdam the algorithm generated 40 hyper-pooled rides transporting 225 travellers. They would require 52.5 vehicle hours to travel solo, whereas in the hyper-pooled multi-stop rides, it is reduced sixfold to 9 vehicle hours only. This efficiency gain is made possible by achieving an average occupancy of 5.8 (and a maximum of 14) while remaining attractive for all co-travellers. open-access, with Rafał Kucharski #criticalmaas founded by the European Research Council (ERC) and AMS Institute

Welcome to check out my slides from last week talk at #EWGT2024, plenty of open questions for the research community to follow up on!

Gave a keynote this morning at #EWGT2024 in Lund sharing some of our findings and pointing out the remaining challenges in relation to Long-distance travel and the long journey towards a shift to rail. Thanks for having me!

What is the added-value of passenger crowding information?https://lnkd.in/eBEDt6J6 We contrast pre- vs. post-COVID willingness to wait (WTW) to avoid overcrowding with real-time crowding information. open-access, with Arkadiusz Drabicki and Rafał Kucharski

I’m happy to share that I’m starting a new position as Head of the Transport & Planning Department at TU Delft | Civil Engineering and Geosciences, Delft University of Technology!

The success of flexible transport services depends on the ability to efficiently manage fleet operations while meeting passengers’ personalized travel demand. https://lnkd.in/ezW9iGVr We propose a passenger-to-vehicle assignment algorithm to assign demand to vehicle trips and generate the required vehicle service trips and thereafter optimize service operations cost and level of service. We adopt a human–machine collaborative approach and apply it for for the airport express customized bus system in Chengdu. https://lnkd.in/ezW9iGVr, Open-access, with Tao Liu, Hailin You and Konstantinos Gkiotsalitis

What is the impact of risk perception on the choice between air, rail and car for long-distance travel? https://lnkd.in/et8q-b4B We employed a Hierarchical Information Integration (HII) approach to measure the subjective risk perception related to the pandemic crisis and the mode choice behavior for trips of approximately 500 km and 1000 km. Our findings show that there are four distinctive segments varying in their travel preferences, value-of-time and importance of different risk factors. open-access, with Nejc Geržinič and Maurizio van Dalen

As I am about to go on my annual leave, it is heartwarming to look back at all the kind wishes and pictures from colleagues and friends following my inauguration ceremony on June 28. Thank you for many fun and memorable shared experiences and looking forward for many more to come!