Research@M3Nets

The major streams of our research can be roughly categorized into seven distinct groups, listed with key publications below:

Scalable network design and scheduling: How can we develop more scalable techniques for solving expressive optimization problems in operations research?

  1. Yifan Xu, et al. A Distributionally Robust Optimization Approach for Airline Integrated Recovery under in-flight Pandemic Transmission Risks. Transportation Research Part C-Emerging Technologies 152, pp. 104188, 2023, IF=9.022 (Q1) DOI
  2. Yifan Xu, et al. IMMUNER: Integrated Multimodal Mobility Under Network Disruptions. IEEE Transactions on Intelligent Transportation Systems 24(2), pp. 1480-1494, 2023, IF=9.551 (Q1) DOI
  3. Sebastian Wandelt, et al. Towards a Reference Experimental Benchmark for Solving Hub Location Problems. Transportation Science 56, pp. 543-564, 2022, IF=4.898 (Q2) DOI
  4. Yida Ding, et al. TLQP: Early-stage Transportation Lock-down and Quarantine Problem. Transportation Research Part C-Emerging Technologies 129, pp. 103218, 2021, IF=9.022 (Q1) DOI
  5. Yifan Xu, et al. Airline Integrated Robust Scheduling with a Variable Neighborhood Search based Heuristic. Transportation Research Part B-Methodological 149, pp. 181-203, 2021, IF=7.632 (Q1) DOI
  6. Weibin Dai, et al. Capacitated Air/Rail Hub Location Problem with Uncertainty: A Model, Efficient Solution Algorithm, and Case Study. IEEE Transactions on Intelligent Transportation Systems 23(7), pp. 8451-8466, 2022, IF=9.551 (Q1) DOI
  7. Sebastian Wandelt, et al. An Efficient and Scalable Approach to Hub Location Problems based on Contraction. Computers & Industrial Engineering 151, pp. 106955, 2021, IF=7.18 (Q1) DOI

Artificial Intelligence and emerging technologies: How can such technologies assist in the development of better transportation systems and societies?

  1. Sebastian Wandelt, et al. AI-driven assistants for education and research? A case study on ChatGPT for air transport management. Journal of Air Transport Management 113, pp. 102483, 2023, IF=5.428 (Q2) DOI
  2. Meng Li, et al. Machine learning augmented approaches for hub location problems. Computers & Operations Research 154, pp. 106188, 2023, IF=5.159 (Q2) DOI
  3. Yifan Xu, et al. Machine Learning-assisted Optimization of Aircraft Trajectories under Realistic Constraints. Journal of Guidance Control and Dynamics forthcoming, 2023, IF=2.486 (Q3) DOI
  4. Xiaoqian Sun, et al. Technological and Educational Challenges Towards Pandemic-Resilient Aviation. Transport Policy 114, pp. 104-115, 2021, IF=6.173 (Q1) DOI
  5. Sebastian Wandelt, et al. Complex network metrics: Can deep learning keep up with tailor-made reference algorithms?. IEEE Access 8, pp. 68114-68123, 2020, IF=3.476 (Q2) DOI
  6. Sebastian Wandelt, et al. Towards ABox Modularization of Semi-expressive Description Logics. Applied Ontology 7(2), pp. 133-167, 2012, IF=1.367 (Q4) DOI

Pandemic-resilient aviation: How can aviation better sustain the ramifications of epidemic and pandemic outbreaks, such as COVID-19?

  1. Xiaoqian Sun, et al. A data-driven analysis of the aviation recovery from the COVID-19 pandemic. Journal of Air Transport Management 109, pp. 102401, 2023, IF=5.428 (Q2) DOI
  2. Xiaoqian Sun, et al. Ghostbusters: Hunting abnormal flights in Europe during COVID-19. Transport Policy 127, pp. 203-217, 2022, IF=6.173 (Q1) DOI
  3. Xiaoqian Sun, et al. STARTUPS: Founding airlines during COVID-19 - a hopeless endeavor or an ample opportunity for a better aviation system?. Transport Policy 118, pp. 10-19, 2022, IF=6.173 (Q1) DOI
  4. Xiaoqian Sun, et al. Delayed reaction towards emerging COVID-19 variants of concern: Does history repeat itself?. Transportation Research Part A-Policy and Practice 152, pp. 203-215, 2021, IF=6.615 (Q1) DOI
  5. Xiaoqian Sun, et al. Vaccination Passports: Challenges for a Future of Air Transportation. Transport Policy 110, pp. 394-401, 2021, IF=6.173 (Q1) DOI
  6. Xiaoqian Sun, et al. COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane. Journal of Air Transport Management 94, pp. 102062, 2021, IF=5.428 (Q2) DOI
  7. Xiaoqian Sun, et al. On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level. Transport Policy 105, pp. 115-123, 2021, IF=6.173 (Q1) DOI
  8. Xiaoqian Sun, et al. How did COVID-19 impact air transportation? A first peek through the lens of complex networks. Journal of Air Transport Management 89, pp. 101928, 2020, IF=5.428 (Q2) DOI

Complex network robustness: What are the fundamental principles underlying the robustness of a connected system?

  1. Sebastian Wandelt, et al. From Random Failures to Targeted Attacks in Network Dismantling. Reliability Engineering & System Safety 218, pp. 108146, 2022, IF=7.247 (Q1) DOI
  2. Sebastian Wandelt, et al. Estimation and improvement of transportation network robustness by exploiting communities. Reliability Engineering & System Safety 206, pp. 107307, 2021, IF=7.247 (Q1) DOI
  3. Sebastian Wandelt, et al. Community detection boosts network dismantling on real-world networks. IEEE Access 8, pp. 111954-111965, 2020, IF=3.476 (Q2) DOI
  4. Sebastian Wandelt, et al. A comparative analysis of approaches to network-dismantling. Scientific Reports 8(1), pp. 13513, 2018, IF=4.996 (Q2) DOI
  5. Sebastian Wandelt, et al. QRE: Quick Robustness Estimation for large complex networks. Future Generation Computer Systems 83, pp. 413-424, 2018, IF=7.307 (Q1) DOI
  6. Sebastian Wandelt, et al. Computationally efficient attack design for robustness analysis of air transportation networks. Transportmetrica A-Transport Science 11(10), pp. 939-966, 2015, IF=3.277 (Q3) DOI

Multi-modal transportation and accessibility: How can we improve door-to-door travel times for a better travel experience?

  1. Xiaoqian Sun, et al. Air Transport versus High-Speed Rail: An Overview and Research Agenda. Journal of Advanced Transportation Article ID 8426926, 2017, IF=2.249 (Q3) DOI
  2. Xiaoqian Sun, et al. Comparative Accessibility of Chinese Airports and High-Speed Railway Stations: A high-resolution, yet scalable framework based on Open Data. Journal of Air Transport Management 92, pp. 102014, 2021, IF=5.428 (Q2) DOI
  3. Xiaoqian Sun, et al. Airport Road Access at Planet Scale using Population Grid and Openstreetmap. Networks & Spatial Economics 20, pp. 273-299, 2020, IF=2.484 (Q3) DOI
  4. Xiaoqian Sun, et al. Competitiveness of on-demand air taxis regarding door-to-door travel time: A race through Europe. Transportation Research Part E-Logistics and Transportation Review 119, pp. 1-18, 2018, IF=10.047 (Q1) DOI
  5. Xiaoqian Sun, et al. Complementary strengths of airlines under network disruptions. Safety Science 103, pp. 76-87, 2018, IF=6.392 (Q2) DOI

Transportation system analysis: What are universal patterns enabling the efficiency of our transportation systems?

  1. Xiaoqian Sun, et al. Price discrimination through hidden city options? A data-driven study on the extent and evolution of skiplaggability in the global aviation system. Journal of Air Transport Management 108, pp. 102373, 2023, IF=5.428 (Q2) DOI
  2. Xiaoqian Sun, et al. Competitiveness of on-demand air taxis regarding door-to-door travel time: A race through Europe. Transportation Research Part E-Logistics and Transportation Review 119, pp. 1-18, 2018, IF=10.047 (Q1) DOI
  3. Xiaoqian Sun, et al. Robustness analysis metrics for worldwide airport network: A comprehensive study. Chinese Journal of Aeronautics 30(2), pp. 500-512, 2017, IF=4.061 (Q1) DOI
  4. Xiaoqian Sun, et al. Multiple airport regions based on inter-airport temporal distances. Transportation Research Part E-Logistics and Transportation Review 101, pp. 84-98, 2017, IF=10.047 (Q1) DOI
  5. Xiaoqian Sun, et al. Robustness of air transportation as complex networks: Systematic review of 15 years research and outlook into the future. Sustainability 13(11), pp. 6446, 2021, IF=3.889 (Q4) DOI
  6. Xiaoqian Sun, et al. Worldwide air transportation networks: a matter of scale and fractality?. Transportmetrica A-Transport Science 13(7), pp. 607-630, 2017, IF=3.277 (Q3) DOI
  7. Xiaoqian Sun*, et al. Network similarity analysis of air navigation route systems. Transportation Research Part E-Logistics and Transportation Review 70, pp. 416-434, 2014, IF=10.047 (Q1) DOI

Big data management: How can we efficiently address the problems and challenges inherent to the management of Big data?

  1. Sebastian Wandelt, et al. Column-wise compression of open relational data. Information Sciences 457-458, pp. 48-61, 2018, IF=8.233 (Q1) DOI
  2. Sebastian Wandelt, et al. ADS-BI: Compressed Indexing of ADS-B Data. IEEE Transactions on Intelligent Transportation Systems 19(12), pp. 3795-3806, 2018, IF=9.551 (Q1) DOI
  3. Sebastian Wandelt, et al. Worldwide Railway Skeleton Network: Extraction Methodology and Preliminary Analysis. IEEE Transactions on Intelligent Transportation Systems 18(8), pp. 2206-2216, 2017, IF=9.551 (Q1) DOI
  4. Sebastian Wandelt, et al. Lossless Compression of Public Transit Schedules. IEEE Transactions on Intelligent Transportation Systems 17(11), pp. 3075-3086, 2016, IF=9.551 (Q1) DOI
  5. Sebastian Wandelt, et al. Efficient Compression of 4D-Trajectory Data in Air Traffic Management. IEEE Transactions on Intelligent Transportation Systems 16(2), pp. 844-853, 2015, IF=9.551 (Q1) DOI
  6. Sebastian Wandelt, et al. FRESCO: Referential Compression of Highly Similar Sequences. IEEE-ACM Transactions on Computational Biology and Bioinformatics 10(5), pp. 1275-1288, 2013, IF=3.702 (Q3) DOI