題  目：Using Big Data Analytics for Public Transportation Planning in Urban Economic Development（大數據與交通規劃問題）
報告人：王海波教授（美國德克薩斯農工國際大學，Taxes A&M International University）
時  間：12月23（周二）下午13:00-14:30
地  點：凯捷体育注册335會議室
歡迎相關專業教師和研究生參加！
 
報告人簡介：
　　王海波🚞，2004年密西西比大學運營管理博士畢業👩‍🚀。目前是美國德克薩斯農工國際大學桑切斯商凯捷Killam基金會（冠名）傑出教授，博士生導師☑️，兼任美國德州羅賓遜物流公司學術顧問❄️🤬，廣州增信技術公司聯合創始人及技術總監🏋🏻‍♀️，鄭州長通物流有限公司首席顧問👨🏻‍⚖️，北京中能匯智軟件技術公司首席顧問。美國高級科學技術學會🛌🏽，國際電子電氣工程師學會，美國運籌管理學會🍿，決策科學研究院成員🧔🏽。多所中國大學的訪問和客座教授，多家國際刊物的客座主編與編委。獲得過最佳理論論文獎，年度最佳學者👩🏽‍🎨，具有全球理念的研究者等等榮譽，學術論文在多個國際知名SCI/SSCI收錄的刊物發表，包括European Journal of Operational Research, Journal of Intelligent and Robotic Systems, Computers and Operation Research, IEEE transactions on Control System Technology, IEEE transactions on Automation Science and Engineering, Journal of Operational Research Society, Computers and Industrial Engineering, Journal of Applied Mathematical Modeling, International Journal of Flexible Manufacturing Systems, International Journal of Production Research, Journal of Human and Ecological Risk Assessment, Journal of Heuristics, Communications in Statistics, International Journal of Information Technology and Decision Making, Journal of Combinatorial Optimization等等🙌🏽🧓🏼。
報告內容簡介：
　　This project develops a comprehensive data aggregation and analysis system to provide the decision support for public transportation planning and collects data from different sources such as Census data in the Economic Enhancement Zones, GIS data on public transportation lines and sensor or GPS data from the operators of public transportation. The data will be aggregated on both space and time dimensions and analyzed by using “big data” models and tools. A new difference-in-difference regression and estimation model is implemented for analyzing the “big data”.  The data collected from the project can be used to develop mobile application for public transportation as location based service. The improvement on public transportation planning can have benefits on creating the employment opportunities for lower income population, on helping local small business on attracting customers, on improving the accessibility to public service facilities for lower income population in the economic enhancement zones.