主讲人：許聿廷Yu-Ting Hsu 博士

邀请人：马万经 教授

时间：2019年05月17日（周五）上午10:00

地点：tyc8722太阳集团城211教室

主讲人简介：

        Dr. Yu-Ting Hsu is the assistant professor of transportation engineering in Department of Civil Engineering at National Taiwan University (NTU). Dr. Hsu received his PhD degree from Purdue University in 2013. His research interests primarily focus on the interactions between demand and supply sides of transportation systems in both planning and operation contexts, which can be further specified as four major fields: 1) transportation planning and travel demand modeling/forecasting based on data analytics and econometric techiques, 2) traveler behavior modeling, particularly related to travel-related decision-making under information provision, 3) traffic network analysis, seeking to incorporate behavioral realism into the modeling and management of spatiotemporal network dynamics, 4) mass evacuation and disaster response, to address life-threatening devastation from the perspective of transportation system management (such as traffic control, emergency routing, and resource allocation) while accounting for the characteristics of disaster impact in an integrated manner. 

主讲内容简介：

        Facing the rapidly growing popularity of bike-sharing systems worldwide, this study explores the trip characteristics of using public bikes at the level of zonal Origin-Destination (O-D) pairs, particularly with respect to the effect of pricing scheme change. Based on the transaction records of Youbike, a bike-sharing system in Taipei, Taiwan, which contain data before and after an increase of the rental fee (as the cancellation of a free-usage period for the first 30-minute), the associated demand-side responses are studied in the context of multivariate analysis. Two regression models are developed thereupon to investigate the effect of the change on the O-D demand associated various land-use patterns. A multiple linear regression model is developed for direct before-after analysis on the variation of zonal O-D demand. A finite mixture model is further constructed, which identifies three usage groups with different levels of sensitivity toward the price change. Both models suggest that the pricing scheme change have greater impact on short-distance trips and O-D pairs where alternative transit services are provided; these affected trips can be generally related to frequent users. Such research findings enable better understanding of the usage pattern of bike-sharing systems, which can benefit the associated planning and operation. They also imply the trade-off between the perspective of encouraging greener mobility and other managerial principles regarding public transportation and government subsidy.

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