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荷兰埃因霍温理工大学廖飞雄博士学术讲座通知

发布时间: 2019/08/22 09:28:15     点击次数:次   打印本页

题目: Travel Preferences of Multimodal Transport Systems in Emerging Markets

主讲人:廖飞雄博士,荷兰埃因霍温理工大学

时间:2019年8月23日(周五)上午10:00-11:30

地点:新主楼A716

摘要:

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.

主讲人简介:

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.