讲座主题 | Convolutional Neural Network Deep‐Learning Models for Prediction of Shared Bicycle Demand | ||||
时 间 | 2019-06-14 14:00-16:00 | 地 点 | 管理学院 第二会议室圆桌 | 规 模 | |
主要内容 | Digital technologies over the past decade have enabled the growth of the Sharing Economy, through fast, cheap, connected mobile devices, coordinating massive databases and machine learning / artificial intelligence services. We applied TensorFlow, the leading industry AI tool, to analyze 55 million contracts from Mobike, the world’s largest bike-sharing company. We elicited demand behavioral cycles, finding demand peaks at periodicities of 7, 12, 24 hour and 7-days. Bicycle demand showed wide variance in frequency of use, thus time-series models would strongly overfit the data yielding unreliable models. We applied deep-learning TensorFlow analysis to the time-series axis of our data using a 1D convolutional network, and the 2D location and 1D environmental variables with fully connected network layers. Rebalancing to place shared bikes where demand was predicted to be greatest was predicted to reduce rebalancing costs by between 21.4% and 28.9%. | ||||
主 讲 人 信 息 | |||||
姓 名 | J. Christopher Westland | 职称、职务 | 教授 | ||
所在单位 | University of Illinois | 是否为境外人士 | √是 □否 | ||
主讲人 背景资料 | I am currently Professor in the Department of Information & Decision Sciences at the University of Illinois – Chicago. I have a BA in Statistics and an MBA in Accounting from Indiana University and received my PhD in Computers and Information Systems from the University of Michigan. I have professional experience in the US as a certified public accountant and as a consultant in technology law in the US, Europe, Latin America and Asia. I am the author of numerous academic papers and of seven books: Global Electronic Commerce (MIT Press 2000); Global Innovation Management (Palgrave Macmillan 2nd ed 2017); Red Wired: China’s Internet Revolution (Marshall Cavendish, 2010); Structural Equation Modeling (Springer 2015);Financial Dynamics (Wiley 2003); Valuing Technology (Wiley 2002) and Statistical Auditing with R (forthcoming 2018). I am the Editor-in-Chief of Electronic Commerce Research (Springer) and have served on editorial boards of several other information technology journals including Management Science, ISR, ECRA, IJEC, and others. I have served on the faculties at the University of Michigan, University of Southern California, Hong Kong University of Science and Technology, Tsinghua University, University of Science and Technology of China, Harbin Institute of Technology and other academic institutions. In 2012 I received High-Level Foreign Expert status in China under the 1000-Talents Plan and am currently Overseas Chair Professor at Beihang University. I have advised on patent, valuation and technology strategy for numerous technology firms. | ||||
