We are always looking for highly-motivated students and postdocs who want to work with us! For more information, click here!
Welcome to the group M3Nets (Multi-Modal Mobility Networks) at Beihang University!
Our focus is on developing scalable algorithms and analysis techniques for large transportation networks, with a particular focus on air transportation. Using novel data science methods, we are trying to bridge the gap between theoretical analysis (what should individual passengers be doing) and practice (what are passengers actually doing?).
- November 8th, 2017: The journal Safety Science has accepted our study Complementary Strengths of Airlines under Network Disruptions, which investigates the robustness of more than 200 global airline networks and estimates how much possible disruptions can be absorbed by other airlines using the notion of static complementary strength.
- October 31st, 2017: The Journal of Advanced Transportation has accepted our study Finding p-hub median locations: An empirical study on problems and solution techniques, in which we implement and evaluate several widely-used methods for solving five standard hub location problems. Our work helps other researchers to get an overview on the best solution techniques for the problems investigated in our study.
- August 1st, 2017: The journal Europhysics Letters has accepted our study Network repair based on community structure, where we develop a novel network repair algorithm that creates new links based on the communities in the network.
- July 9th, 2017: We have received a best paper award at 17th COTA conference International Conference of Transportation Professionals for our work on fractality in air transportation systems.
- April 7th, 2017: The Journal of Advanced Transportation has accepted our study Air Transport vs. High Speed Rail: An Overview and Research Agenda, where we review the competition and cooperation between High-Speed Rail and Air Transportation worldwide.
- March 11th, 2017: The journal Transportation Research Part E has accepted our study Multiple Airport Regions based on Inter-Airport Temporal Distances, where we introduce a novel notion of multiple-airport regions based on realistic travel time between airports, instead of Haversine distances and manual data curation.
- February 28nd, 2017: Our study Evolution of domestic airport networks: A review and comparative analysis has just been accepted by the journal Transportmetrica B: Transport Dynamics! In that paper, we compare the evaolution of topology over a time period of 12 years, which yield valuable insights for understanding similarities and deviations among these networks.
- February 22nd, 2017: Our work On Node Criticality in Air Transportation Networks has just been accepted by the journal Network and Spatial Economics! We investigate many different techniques for quantifying the criticality of nodes in a network and compare them on an air transportation use case.
- January 10th, 2017: We have received funding from the Young Thousand Talents Plan of China (青年千人计划).
- January 1st, 2017: We have received funding for two NSFC projects.
- The first project, MaoDunNet, studies the robustness of complex networks.
- The second project studies the analysis and improvement of air transportation systems.