1st Edition

Resilient and Sustainable Urban Public Transportation Systems

By Duo Li Copyright 2027
248 Pages 5 B/W Illustrations
by Routledge

This book offers an in-depth exploration of sustainable and resilient solutions for existing urban public transit systems, addressing current challenges related to mobility needs, air quality, and the user experience. Sustainability and resilience play crucial roles in today's urban public transit systems, promoting greener transportation while ensuring that functionality is regained after... Read more

1. Introduction  2. Evolution of Urban Public Transportation  3. Performance-Based Urban Public Transportation Development and Management  4. Principles of Resilient Public Transportation Systems  5. Principles of Sustainable Public Transportation Systems  6. Potential Solutions to Resilient and Sustainable Public Transportation Systems  7. Institutional Issues  8. Challenges  9. Future Perspectives

Biography

Duo Li, PhD, SMIEEE, CEng, FHEA, Humboldt Fellow, is a Full Professor at Huazhong University of Science and Technology. His academic career spans leading universities and research institutions across the United Kingdom, Germany, China, Australia, and New Zealand. Prior to his current appointment, he served as an Associate Professor at Newcastle University, Senior Lecturer at Nottingham Trent University, Postdoctoral Associate Researcher at the University of Cambridge, and Humboldt Research Fellow at the German Aerospace Center (DLR). He received his PhD, MSc. and B.E. Degrees in Transportation Engineering from the University of Auckland in 2015, the University of Queensland in 2011, and the Huazhong University of Science and Technology in 2010. His international education and research experience have contributed to a multidisciplinary perspective on next-generation transportation systems.

His research focuses on sustainability and resilience in transportation systems, Connected, Autonomous, Shared, and Electrified (CASE) mobility, intelligent transportation systems, and transport data computing and analytics. His work aims to support the transition toward safer, greener, and more efficient mobility through advanced data-driven methodologies and emerging digital technologies. He actively contributes to the academic community through editorial and professional service and currently serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), Transportation Research Record (TRR), and IEEE Open Journal of Intelligent Transportation Systems (IEEE-OJITS). He has published extensively in leading international journals and conferences and collaborates widely with academia, industry, and government partners on future mobility research and innovation.