Analysis of Advanced Management of Curbside Parking

主讲人：Dr. Yafeng Yin
邀请人：杜豫川 教授
时间：2016年06月30日（周四）13:30—15:00
地点：36365线路检测中心no1103会议室
主讲人简介
   Dr. Yafeng Yin is a Professor at Department of Civil and Coastal Engineering and the Director of Transportation Research Center, University of Florida. He works in the area of transportation systems analysis and modeling, and has published over 80 refereed papers in leading academic journals. He is the Editor-in-Chief of Transportation Research Part C: Emerging Technologies and serves on the editorial boards for another four transportation journals such as Transportation Research Part B: Methodological. He is a member of Transportation Network Modeling Committee and International Cooperation Committee of Transportation Research Board. He is also the Immediate Past President of Chinese Overseas Transportation Association (COTA) whose members are Chinese professionals and students working or studying overseas in the transportation or related fields. Dr. Yin has supervised 11 Ph.D. students and six of them now teach in various universities worldwide such as Arizona State University, Tsinghua University and Zhejiang University. He was awarded the Doctoral Mentoring Award and the Faculty Mentor Research Award by University of Florida in 2012 and 2015 respectively in recognition of his outstanding graduate student advising and mentoring. Dr. Yin received his Ph.D. from the University of Tokyo, Japan in 2002, his master’s and bachelor’s degrees from Tsinghua University, Beijing, China in 1996 and 1994 respectively. Prior to his current appointment at the University of Florida, he worked as a postdoctoral researcher at University of California at Berkeley between 2002 and 2005. Between 1996 and 1999, he was a lecturer at Tsinghua University.
主讲内容简介
    Parking is a growing problem in dense urban areas. To many, finding a parking space in those areas is an unpleasant experience of uncertainty and frustration. Cruising for parking makes traffic on already-congested urban streets even worse and leads to significant waste in time and fuel. Fortunately, smartphone-based parking management applications have begun to emerge and are expected to enjoy a widespread adoption in the near future. These applications aim to help drivers find parking spaces by allowing them to use their smartphones to view real-time availability and prices of parking spaces and guiding them to open parking spaces, reserved or otherwise.
    In this talk, we will analyze drivers’ search behavior for parking in a stylized setting where an attraction (destination) is located on a long one-way street and on-street parking spaces are scattered around the destination; drivers are assumed to find a space to park to minimize their walking time to the destination. Analytical models are established to describe the search outcomes and compare the impacts of parking information and reservation services. An agent-based simulation experiment is then conducted to verify the results drawn from the analytical models. Results show that, compared with the status quo, the reservation service can improve the performance of the parking system, while providing information may not. The former is proved to be a better policy than the latter under the particular setting of parking competition and search behaviors considered in this paper.
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