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.
- September 18th, 2023: Our paper AI-driven assistants for education and research? A case study on ChatGPT for air transport management, has been accepted by the Journal of Air Transport Management. Please check it out!
- September 3rd, 2023: Our paper Measuring node importance in air transportation systems: On the quality of complex network estimations, has been accepted by the journal Reliability Engineering & System Safety. Please check it out!
- May 19th, 2023: Aircraft leasing has become the dominating way for airlines to aquire aircraft. Our review on this subject, titled Is the aircraft leasing industry on the way to a perfect storm? Finding answers through a literature review and a discussion of challenges, has been accepted by the Journal of Air Transport Management. Please check it out!
- April 7th, 2023: Our paper A data-driven analysis of the aviation recovery from the COVID-19 pandemic has been accepted by the Journal of Air Transport Management. Please check it out!