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Doctor Liaofeixiong's Lecture Notice

Publish Date: 2019/08/22 14:22:46    Hits:

Title: Travel Preferences of Multimodal Transport Systems in Emerging Markets

Presenter:Doctor Liao Feixiong

Time: 2019.8.23 10:00-11:30

Location: A716

Abstract:

Metropolises in emerging markets are facing serious urban transport challenges. Understanding people’s travel preferences is crucial for designing effective sustainable urban policies. Little attention has been paid to studying travel preferences in multimodal transport systems in these markets. This study estimates the travel preferences in the metropolitan area of Beijing, which is notoriously plagued with high degrees of congestion. We administered a series of interwoven stated preference experiments on travel behavior. A representative sample of 2652 respondents participated in the experiments. The data were pooled and a scaled mixed logit model was used for estimation. The results provide rich information on how trade-offs are made among the manipulated attributes regarding travel time, cost, convenience, and reliability. Many findings deviate from results obtained in developed countries. A contrast standing out is that travelers in Beijing are much less sensitive to possible delays caused by traffic congestion.

About the presenter:

Feixiong Liao is an assistant professor (tenured) at the Urban Planning Group of Eindhoven University of Technology (TU/e). His fields of expertise include urban planning and transport studies. He received his Ph.D. from TU/e 2013. During his Ph.D. studies, he worked with a large consortium to examine how accessibility in the Netherlands' Randstad region can be improved by implementing synchronization strategies. After completing his Ph.D., he became a post-doc researcher in the same group, conducting research on travel behavior modeling and dynamic activity-travel assignment. In collaboration with Beihang University, the 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. His current research activities are focused on the developments of a large-scale model system of urban transportation planning.