Interdependent decision-making is essential, although humans and polices are bounded.
Feixiong Liao is an assistant professor at the Urban Planning and Transportation Group of Eindhoven University of Technology (TU/e). His fields of expertise include urban and rural planning, traffic and transport studies, mobility behavior and demand analysis. Feixiong’s current research activities are focused on the development of a large-scale model system of urban transportation planning. He is an expert on the frontier of multi-state supernetwork modeling for interdependent decision problems.
He received his doctorate degree (cum laude, less than 5% nationwide) from TU/e 2013. During his Ph.D. study, he was the principal researcher in a large consortium to examine how accessibility in the Netherlands’ Randstad region, which consists of the four largest Dutch cities and their surrounding regions, can be improved by implementing land-use transport synchronization strategies. After completing his Ph.D., he initiated international joint research with Beihang University (China) and became a post-doc researcher at the same group. Through the collaboration, his post-doc research attempted to solve a vital shortcoming of the existing travel demand forecasting systems by coupling activity-based modeling and dynamic traffic assignment in the multi-state supernetworks developed in his Ph.D. study. He also coordinated a large-scale data collection on multi-modal travel behavior in Beijing. He became an assistant professor at the same group in 2016 and started teaching courses "Smart Mobility Design" and "Mobility and Logistics". Since 2017, he has been co-promotor and daily supervisor of 3-5 Ph.D. students. Being an active researcher, he acts as ad-hoc reviewers for many scientific journals, peer-reviewed conferences, and funding agencies. He has held visiting scholarship at UMASS (Massachusetts), ETH (Zurich), KIT (Karlsruhe), and Beihang (Beijing).
Identification of technology spillover among airport alliance from the perspective of efficiency evaluationTransport Policy (2019)
Joint travel problem in space-time multi-state supernetworksTransportation (2019)
A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing systemTransportation Research. Part C: Emerging Technologies (2019)
Space–time prism bounds of activity programsInternational Journal of Geographical Information Science (2019)
Day-to-day needs-based activity-travel dynamics and equilibria in multi-state supernetworksTransportation Research Procedia (2019)