About M3NetsWelcome to the group M3Nets (Multi-Modal Mobility Networks) at Beihang University!
The major interest of our group is in the development of efficient and scalable algorithms and analysis techniques for large transportation networks. Our ultimate goal is to contribute to the design of pervasive, intelligent, and efficient cyber-physical infrastructure systems. Relevant research topics include, but are not limited to, network design, machine learning, big data, and complex network science.
- February 2nd, 2023: Our survey paper Price discrimination through hidden city options? A data-driven study on the extent and evolution of skiplaggability in the global aviation system has been accepted by the Journal of Air Transport Management. Please check it out!
- December 21st, 2022: Our paper with Massimiliano Zanin titled Measuring landing independence and interactions using statistical physics has been accepted by the journal Transportation Research Part E.
- November 6th, 2022: Our survey paper COVID-19 pandemic and air transportation: Summary of Recent Research, Policy Consideration and Future Research Directions has been accepted by the journal Transportation Research Interdisciplinary Perspectives. Please read it to understand how the hurricane went on in 2021/2022!
- August 27th, 2022: Our paper Ghostbusters: Hunting abnormal flights in Europe during COVID-19 has been accepted by the journal Transport Policy.