Public Transport Systems: Passenger behaviour and network robustness
On 21 February 2020, TRAIL PhD researcher Ding Luo will defend his PhD thesis “Data-driven Analysis and Modeling of Passenger Flows and Service Networks for Public Transport Systems” at Delft University of Technology. The defence is public, and you are invited to join.
Moreover, on the occasion of this public defence, TRAIL and TU Delft have set up a seminar on “Public Transport Systems: Passenger behaviour and network robustness”. The rapid deployment of smart card fare collection systems across the world facilitate the analysis of passenger behaviour using passively collected disaggregate revealed preferences data. Notwithstanding, extracting knowledge from public transport data involves challenges and requires a range of inferences and analytics. Applications of such analysis include network loading models, real-time crowding predictions and market segmentation. In addition, complex networks and clustering techniques increasingly inspire the analysis of public transport systems. In this seminar, experts will share theoretical, methodological and advanced applications related to passenger behaviour and network robustness.
Participation is free, registration is required: click here.
Chairman: Oded Cats
09.00 – 09.10 Opening and welcome
09.10 – 09.40 Marcela Munizaga (University of Chile) – Use of Smartcard Data to Improve Our Knowledge of Travel Behaviour: applications to the case of Santiago, Chile
09.40 – 10.10 Martin Trepanier (Polytechnique Montréal) – The Challenges of Measuring Changes in Public Transport Users’ Behaviour
10.20 – 10.40 Erik Jenelius (KTH Royal Institute of Technology) – Personalized Predictive Public Transport Crowding Information
10.40 – 11.10 Rob Kooij (TU Delft)– Quantifying the Robustness of Network Controllability
Location: TU Delft
Public defence Ding Luo
At 12:30 h the public defence starts in the Senaatszaal of the Aula.
At 12:00 h Ding will give a brief presentation about his research in the same room.