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Full Description
This comprehensive handbook covers human mobility within urban contexts, integrating academic theories with pragmatic insights and offering a detailed analysis of the diverse facets of human mobility and its substantial impact on the urban landscape, economy, and societal structures. It explains key fundamental concepts, methods, and models, presenting an in-depth exploration of predictive analytics, clustering patterns, advanced trajectory embedding techniques, artificial intelligence, machine learning, geographic information systems (GIS), Internet of Things (IoT), and smart city innovations. The authors include many case studies and examples of urban mobility in practice, making the content relatable and practical for educators, students, researchers, and practitioners.
Features
Provides a multidisciplinary and holistic understanding of urban mobility with systematic introductions and discussions of theory, methods, technologies, tools, and applications
Covers a wide range of real-world case studies of urban mobility in practice globally that include data, programming code, and tools
Discusses cutting-edge technologies involved in mobility data analytics
Addresses practical challenges in data collection and the ethical implications of mobility research, which are crucial for professionals in the field
Offers future directions of human mobility research under the big data and artificial intelligence (AI) revolution
Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities is for professionals, academics, and upper-level undergraduate and graduate students in the fields of urban planning/design, GIScience, data mining, and social sciences.
Contents
Section I: Foundations of Human Mobility and Urban Studies. 1. The Pillars of Modern Urban Human Mobility Studies. 2.The Pillars of Modern Urban Human Mobility Studies. Section II: Aspects of Human Mobility in Modern Cities. 3. Equity and Accessibility in Urban Mobility. 4. Social and Cultural Dimensions of Urban Human Mobility. 5. Natural Disasters and Urban Human Mobility. 6. Economics of Urban Mobility. 7. Data Governance Policies for Human-centric Urban Mobility Services in Smart Cities. 8. Urban Human Mobility and Energy. Section III: Technologies and Techniques Shaping Urban Human Mobility Studies. 9. Prediction and Analysis of Urban Mobility based on Attention Mechanism and Geographic Information Embedding. 10. Human Mobility Clustering Analysis: A Case Study of Ride-hailing Demand Analysis. 11. GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems. 12. Agent-based Modeling and Simulation for Smart Cities. 13. Trajectory Privacy Protection Approaches. 14. Deep Learning-Based Modeling of Human Trajectory Uncertainty in Urban Environments. 15. Towards the Spatial Evolution between Distribution Snapshots: A Network Perspective. Section IV: Advanced Topics and Future Directions. 16. Human Mobility and Public Health. 17. The Challenges and Future Research for Human Mobilities in Nature Disasters. 18. From Vulnerability to Resilience: Rethinking Urban Transportation in a Changing Climate. 19. Human Mobility in the Post-Pandemic World. 20. The Influence of the COVID-19 Pandemic on Human Daily Mobility and Time Allocation. 21. Sustainability Implications of Digital Twins for Urban Mobility. 22. From Human Mobility to Social Segregation: What Insights Can Social Media Data Provide?. 23. Measuring Public Transit Resilience with High-resolution Real-time Geospatial Data. 24. Individual Environmental Exposure Dynamics Through the Lens of Neighborhood Effect Averaging. 25. Bike-sharing: Towards Equitable Urban Transportation. 26. Ridesourcing: A Game-Changer for Urban Mobility. 27. A Comparative Analysis of Governance of Urban Public Transport in Asian Cities. 28. The Future of Urban Human Mobility Studies.
