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390—Incentive-Based Active Demand Management - What do We Learn after 3 years of Studies?
  发表时间:2018-12-07    阅读次数:

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主讲人Yi-Chang Chiu, Ph.D.
邀请人:田野 副研究员
时间:12月10日(星期一)下午13:30—15:00
地点:tyc8722太阳集团城103室
主讲人简介

    Dr. Chiu (PhD, Transportation Engineering, Univ. of Texas Austin 2002) is the Professor at the Department of Civil Engineering and Engineering Mechanics at the University of Arizona (UA) and the founder of Metropia, Inc. Dr. Chiu started his academic career as a well-known researcher in the area of simulation-based dynamic traffic assignment (DTA). Dr. Chiu has been a principal developer and consultant to FHWA on the Dynamic Traffic Assignment (DTA) program in the 2010s. One of the hallmark tools originating from Dr. Chiu’s research career is DynusT, a large-scale open source DTA model that is currently the most widely used DTA model internationally. 
    Dr. Chiu’s vision and leadership led to the development of Metropia in 2012 as an information and incentive-based personal mobility and transportation system management platform, bringing a revolutionary concept to future urban mobility management. Metropia utilizes real-time traffic and incident data and advanced traffic prediction and incentive algorithms to predict future traffic conditions and to use dynamically adjusted incentives as a mechanism to shift demand to less congested times, routes, and modes. The goal is to seamlessly and cost-effectively integrate multiple modes so that driving-alone is not the only option. Metropia plays a leadership role for two recent major Mobility-as-a-Service (MaaS) deployments in the US (Houston, Texas and Pima County, Arizona) funded by the Federal Highway Administration and Federal Transit Administration. 
主讲内容简介
    The incentive-based active demand management approach has been recently conceived and tested around the world in several studies. Most studied confirmed that incentive does trigger behavior change, but these studies were limited to a one-time trial experiment without a long-term longitudinal observation. It is likely that after the experiment that the user may fall back to the original behavior. In this talk, we share the results from the 3 years of observations from a similar group of users who participated in Metropia’s incentive-based mobility program. The departure time and carpooling behaviors will be reviewed and discussed in detail.
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