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!
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.
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
Zooming in and out on maps gives you the impression that a different version of the same network is displayed. However, important topological properties of the network might be distorted in the process.
We develop a method for automatically generating multiscale graph representations without significantly compromising their topological properties.
Our results show that the method is able to successfully reduce the Amsterdam road network by up to 96% of its original size at a computation time of no more than 15 min with a limited loss of information.
This is part of Panchamy Krishnankumari’s PhD thesis which I co-supervise together with Hans Van Lint.
Heuristic Coarsening for Generating Multiscale Transport Networks
How to design real-time public transport control strategies so that the waiting time savings are not offset by slowing down the service?
Kostas Gkiotsalitis and I propose and test a time-window-based bus holding method which performs better than a rule-based control (including in terms of waiting time savings) albeit more complex. Open access.
Multi-constrained bus holding control in time windows with branch and bound and alternating minimization