Human Mobility, Artificial Intelligence and Climate Change

Erscheinungsjahr 2025
ISBN: 978-3-032-08170-4
Verlag: Springer

Buch, Englisch, 314 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 662 g

Reihe: Lecture Notes in Mobility

This monograph offers a comprehensive discussion on the current challenges for developing future sustainable and resilient transport systems. It specifically focuses on the effects of two major shaping factors, namely climate change and the increased use of technologies, in particular artificial intelligence. It analyses issues and the relevant strategies adopted by different governments for facing social and environmental issues while planning the intelligent and decarbonized mobility of the future. Topics discussed in this book include: the use of artificial intelligence and big data in transportation and mobility, strategies for decarbonizing transport, the role of automated transport in future mobility, resilient transport infrastructures and other important related issues. Besides addressing researchers and professionals active in this field, this book will also offer an introduction on achievements and future challenges in mobility for newcomers.

Zielgruppe

Graduate

Autoren/Hrsg.

Giannopoulos, George A.

Li, Yidong

Fachgebiete

• Sozialwissenschaften Politikwissenschaft Politische Systeme Verwaltungswissenschaft, Öffentliche Verwaltung
• Technische Wissenschaften Bauingenieurwesen Verkehrsingenieurwesen, Verkehrsplanung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

The climate crisis is here and “do nothing” is not an option.- Actions and reactions in a world of different geopolitical priorities.- The transport and mobility dimension.- Transport system resilience in climate crises.- Data needs and utilisation.

Über Autor(innen)

Professor George A. Giannopoulos is a transportation planner (PhD University of London - Imperial College), professor emeritus of the Aristotle University of Thessaloniki, correspondent member of the Academy of Athens, and Advisory Professor Beijing Jiatong University. He is also member of the steering panel – energy sector - of the European Academies Science Advisory Council (EASAC), and member of the US/TRB’s standing Committee on Research Implementation and Innovation. For 20 years (1981-2001), he was the director of the Transport Engineering Laboratory of the Civil Engineering Department of the Aristotle University of Thessaloniki and the founder and director, for 7 years (2003-2010), of its Postgraduate course on “Organisation, operation and management of Transport Systems”. For 16 years (2001-2016), he was the director of the Hellenic Institute of Transport (HIT) of the Centre for Research and Technology Hellas – CERTH.  He has extensive experience in Transportation planning and Transport Policy issues as well as on research governance, implementation, and international transport research cooperation issues. For the last 15 years he has been a member of the high-level advisory panel on climate change for the Greek government and the Bank of Greece (the EMEKA – Climate Change Study Committee). He has authored the strategic transport adaptation plan to climate change for Greece that is used as input to the Life-IP AdaptInGr project for climate change adaptation, of the Greek Ministry of the Environment. He has participated in more than 200 studies and/or research projects, over the last 35 years, in most of which as coordinator. He has published 260 scientific papers and articles in magazines and Conferences, as well as 18 books, six of which in English.

Professor Yidong Li is a computer scientist, professor of Computer Science and Artificial Intelligence at Beijing Jiaotong University and Dean of the School of Computer Science and Technology of same university. He is also the director of the Key Laboratory of Big Data and Artificial Intelligence in Transportation sponsored by the Ministry of Education of China. He received his B.Eng. degree in Electrical and Electronic Engineering from Beijing Jiaotong University, and the M.Sci. and Ph.D. degrees in Computer Science from the University of Adelaide, in 2006 and 2010, respectively. His research interests include big data, AI, advanced computing, and intelligent transportation systems. He has published more than 200 research papers in various journals and refereed conferences. He has also co-authored or co-edited 5 books and contributed several book chapters.