The 53rd session of the time-space economy salon: "Travel behavior modeling using emerging big data sources" was successfully held
2018-12-14 08:43Source: School of Economics and Managementseventy thousand three hundred and eighty-five
On the morning of December 5, Charisma Choudhury, associate professor of Leeds University, was invited to our 53rd time-space economy salon and gave a wonderful report entitled "Travel behavior modeling using emerging big data sources".This salon was presided over by Professor Wang Yacan of our hospital, and more than 40 teachers and students of our hospital participated in it.
In the report, Charisma pointed out that efficient planning, management and operation of the transportation system need data and model support;Commuting survey is an expensive activity to facilitate model estimation. The survey is often infrequent and the sample size collected is limited;Such data are often affected by reporting errors and changing the behavior of the respondents because they are aware of being observed;A large number of diverse time and location data are passively generated as a by-product of technological growth, including global positioning system (GPS) tracking, mobile phone network records, smart card data and social media data.The report focuses on four case studies and discusses how these big data resources are used for mainstream traffic modeling. CharismaThe speech was full of enthusiasm, extensive references, scientific views and practical examples, and the atmosphere was warm and the applause continued.After the report, the professor held a heated discussion with the teachers and students present, and Sharon came to an end in laughter.
Charisma Choudhury is an associate professor of the School of Transport Research and the School of Civil Engineering of the University of Leeds, UK, and serves as the deputy director of the Center for Selection Model Research.Before joining the University of Leeds, she received a master's degree and a doctor's degree from MIT, and served as a postdoctoral research assistant at MIT.Her research fields include the use of big data to establish travel choice models, as well as research on transport problems in developing countries.
