Special issue: Next generation smart transportation systems: envisioning a carbon-neutral, connected, intelligent, equitable transportation

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Dr. Xiaobo Qu is a Chair Professor at the School of Vehicle and Mobility, Tsinghua University, China, and an elected Member of Academia Europaea–the Academy of Europe since Aug 2020, and an elected Fellow of the European Academy of Sciences since Jan 2020, and. His research focuses on developing emerging technologies for future urban mobility systems. He has authored or co-authored over 150 journal articles published at top-tier journals, including 16 ESI highly cited papers. He was selected as highly cited Chinese scholars by Elsevier in 2023 and 2024. Prof. Qu is looking after 10 journals as an editor, including the Editor in Chief of Communications in Transportation Research, and Executive Editor in Chief of Journal of Intelligent and Connected Vehicles

Dr. Jonas Eliasson is Director of Transport Access at the Swedish National Transport Administration, visiting professor of transport systems at Linköping University, Sweden and chair of the Planning & Construction committee of the Royal Academy of Engineering Sciences. His research interests focus on transport policy design and evaluation, including areas such as cost-benefit analysis, transport pricing, railway capacity allocation, transport demand modeling, congestion charges, decision-making in the transport sector, public and political acceptability of transport policies, and valuations of travel time and reliability. He has been engaged as an expert advisor to a large number of urban, regional and national governments regarding strategic transportation issues, often involving sustainable transport planning, congestion pricing, and social and economic appraisal

Dr. Zuo-Jun (Max) Shen is the Vice-President and Pro-Vice-Chancellor (Research), and Chair Professor in Logistics and Supply Chain Management at the University of Hong Kong, China. He started his academic career as Assistant Professor at the University of Florida in the same year, and joined the University of California, Berkeley in 2004, where he rose through the academic ranks to become Chancellor’s Professor and Chair of the Department of Industrial Engineering and Operations Research and Professor of the Department of Civil and Environmental Engineering. Prof. Shen joined HKU in 2021. Internationally recognized as a top scholar in his field, Professor Shen is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), a Fellow of the Production and Operations Management Society (POMS), a Fellow of the Hong Kong Academy of Engineering Sciences, and a former President of POMS

Dr. Fang He is a tenured associate professor and doctoral supervisor in the Department of Industrial Engineering, Tsinghua University, China. He is also the Deputy director of Institute of Operations Research and Statistics. He received his bachelor’s degree in Civil Engineering of Tsinghua University in 2010, and his Ph.D. from the University of Florida in 2014. His research focus on electrified and automated transportation, transportation economics, among others. He has published more than 40 refereed papers in leading academic journals indexed by SCI, with more than 2000 citations according to Google Scholar. Dr. He is also in the editorial board of Transportation Research Part C: Emerging Technologies, one of the leading academic journals in the transportation domain

Dr. Juan de Dios Ortúzar He is an Emeritus Professor, Pontificia Universidad Católica de Chile, Chile, Key Researcher at Instituto Sistemas Complejos de Ingeniería (ISCI). He has published over 200 papers in archival journals and book chapters (over 20,500 citations). Co-author of Modelling Transport (Wiley, 2024, Fifth Edition) a text reflecting the state-of-practice in the discipline. Co-Editor in Chief of Transportation Research A 2012-2020, and editorial board member of another seven international journals. He has led over 50 transport studies in America and Europe in the last 30 years, involving the application of advanced demand modelling techniques. Pioneered the application of discrete choice models to determine the willingness-to-pay for reducing externalities (accidents, noise and pollution), with applications in Australia, Colombia, Chile, Germany, Norway and Spain. He received the prestigious Humboldt Research Award in 2010, the Life Achievement Award of the International Association for Travel Behaviour Research in 2012, and the Premio Eduardo Charreau from the Organization of American States in 2021

Dr. Kai Wang is currently an Associate Professor at the School of Vehicle and Mobility, Tsinghua University, China. He was a Research Scientist at Heinz College, Carnegie Mellon University from 2021 to 2022, and a Postdoctoral Associate at Sloan School of Management, Massachusetts Institute of Technology from 2019 to 2021. Dr. Kai Wang’s research spans large-scale, stochastic, and data-driven decision-making, with primary applications in smart transportation and logistics systems. His research has appeared in top-tier journals such as Operations Research, Management Science, Transportation Science, Transportation Research Part B, etc. It has been recognized with several academic distinctions, e.g., INFORMS 2023 Harvey Greenberg Research Award, INFORMS 2021 Transportation Science & Logistics Society Best Paper Award, etc

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