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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 by focusing on applied soft computing techniques, artificial intelligence, and algorithms for fuzzy systems. Researchers and professionals will find actionable information on mitigating congestion and emissions through sustainable mobility initiatives, which bridges the gap between theory and real-world practice.
The book also offers technical guidance and expert perspectives on the application of decision support systems to evaluate and optimize planning for sustainable transit options. The book highlights innovative models and frameworks for analyzing mobility options and planning sustainable transport systems. It is an essential resource for researchers, graduate students, and professionals in transportation, urban planning, civil engineering, and decision sciences who aim to redesign city transportation to reduce environmental impact and carbon emissions.
List of contents
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. Developing a GIS-Supported SVN-WENSLO-ARLON Hybrid Method for Bicycle Pooling Location Selection: A Case Study in Turkiye
7. Identifying Effective Risk Management Policies for Sustainable Urban Transportation Projects
8. Flexible Linguistic Consensus Decision Making for Sustainable Transport Practices
9. Optimization based decision making for sustainable transport: Insights into the aviation 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 solution 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
