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Intelligent Urban Mobility
Decision Support Systems for Sustainable Transportation
- 1st Edition - September 1, 2025
- Editor: Muhammet Deveci
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 6 0 - 1
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 6 1 - 8
'Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation' explores the role of technology in enabling greener, more accessible transportation in cities… Read more
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Request a sales quote'Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation' explores the role of technology in enabling greener, more accessible transportation in cities worldwide. This book provides insights into leveraging decision support systems to drive positive change, focusing on applied soft computing techniques, artificial intelligence, and fuzzy systems algorithms to help researchers and professionals seeking to mitigate congestion and emissions through sustainable mobility initiatives. Bridging theory and real-world practice, this book provides information on future studies to drive progress in redesigning city transportation to reduce environmental impact and carbon emissions, highlighting innovative models and frameworks for the analysis of mobility options and planning sustainable transport systems. Researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences interested in advancing sustainable urban mobility will find this to be a welcome reference offering technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options.
• Provides an overview of the most recent advances in the development of decision support systems for the implementation of sustainable of urban mobility
• Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems
• Offers solutions for the design, development, and integration of sustainable urban transport options
• Presents various urban mobility applications using artificial intelligence, applied soft computing techniques, and other decision support systems
• Offers solutions for the design, development, and integration of sustainable urban transport options
Researchers and graduate students in transportation, urban planning, civil engineering, decision sciences, and sustainability.
1: Sustainable Urban Mobility Plans (SUMPs) – An Overview 2: Leveraging Meta-Heuristics and Deep Learning for Decision Support Systems in Sustainable Transport Applications 3: Consensus Reaching Process for Intelligent Vehicle Group Decision-Making in Smart Transportation System 4: Shared Electric Vehicle Usage Risk Prioritization Based on Integrated FMEA and CRADIS Methods with T-Spherical Uncertain Linguistic Information 5: Safety Risk Assessment of Autonomous Vehicles for Sustainable Transportation 6: A decision support system for bicycle pooling location selection in sustainable urban areas: Development of a GIS-supported PS-WENSLO-ARLON hybrid method 7: Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects 8: Consensus Decision Making for Sustainable Transport Practices 9: Optimization based decision making for sustainable transport: Insights into the aviation industry and the road transport industry 10: A Generalized Hellinger Distance-Based Spherical Fuzzy TOPSIS Method for Sustainable Transport Systems Selection 11: Fuzzy multi-criteria decision making for assessing public transportation systems for sustainable transportation 12: Determining enablers for the application of sustainable and resilient urban transport systems using T-spherical fuzzy DEMATEL-ISM model 13: Selection of the solutions for the integration of sustainable and resilient urban transport systems using linguistic T-spherical fuzzy CoCoSo’B method 14: Sustainable AI-Assisted Energy-Efficient Edge Cloud System for Industrial Internet of Things Applications
- No. of pages: 250
- Language: English
- Edition: 1
- Published: September 1, 2025
- Imprint: Academic Press
- Paperback ISBN: 9780443341601
- eBook ISBN: 9780443341618
MD
Muhammet Deveci
Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018–2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).
Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review.
Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.
Affiliations and expertise
Department of Industrial Engineering, National Defense University, Istanbul, Turkey