Urban Human Mobility: Practices, Analytics, and Strategies for Smart Cities

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.

Dr. Xiao Huang is an Assistant Professor in the Department of Environmental Sciences at Emory University. His research focuses on geospatial analysis, urban informatics, human mobility, and big data analytics. He has authored/co-authored more than 200 peer-reviewed publications. Professionally, he sits on the Editorial Board for eight journals. His research has been funded by various agencies, including NSF, NASA, the Bill & Melinda Gates Foundation, and the National Academies, to list a few.

Dr. Xinyue Ye is the Harold Adams Endowed Professor in Urban Planning and Stellar Faculty Provost Target Hire at Texas A&M University (TAMU). He serves as the Faculty Fellow for The Division of Research at TAMU. His research integrates computational social science, urban data science, and geospatial artificial intelligence to address issues ranging from infrastructure resilience and climate change to social justice and community perceptions, underscoring the dynamic interplay between technology, policy, and human behavior in shaping sustainable and livable cities. He is Fellow of both the American Association of Geographers and the Royal Geographical Society.

Dr. Kathleen Stewart is Professor in the Department of Geographical Sciences at the University of Maryland and Director of the Center for Geospatial Information Science. She works in the area of geographic information science with a particular focus on geospatial dynamics. Dr. Stewart serves as a member of the National Geospatial Advisory Committee. She is a Fellow of the University Consortium of Geographic Information Science, and a member of the editorial boards of The International Journal of Geographical Information Science, Geographical Analysis, the Journal of Spatial Information Science, the International Journal of Geo-Information and Geomatics among others.

Dr. Subasish Das is an Assistant Professor of Civil Engineering Program in the Ingram School of Engineering at Texas State University. He has more than 13 years of experience related to roadway safety, traffic operation, and connected and automated vehicle technologies. His major areas of expertise include database management, statistical analysis and machine learning with emphasis in safety and transportation operations, spatial analysis with modern web GIS tools, interactive data visualization, and deep learning tools for CAV technologies. He has published more than 160 technical reports, and journal articles.