1st Edition
Urban Human Mobility Practices, Analytics, and Strategies for Smart Cities
Section I: Foundations of Human Mobility and Urban Studies
1. The Pillars of Modern Urban Human Mobility Studies
Xiao Huang, Xinyue Ye, Kathleen Stewart et al.
2. The Pillars of Modern Urban Human Mobility Studies
Xiao Huang
Section II: Aspects of Human Mobility in Modern Cities
3. Equity and Accessibility in Urban Mobility
B. van Wee
4. Social and Cultural Dimensions of Urban Human Mobility
Xiao Huang and Malene Freudendal-Pedersen
5. Natural Disasters and Urban Human Mobility
Xiang Li and Yi Qiang
6. Economics of Urban Mobility
Qianwen Guo, Xiao Huang, and Raj Ponnaluri
7. Data Governance Policies for Human-centric Urban Mobility Services in Smart Cities
Bokolo Anthony Jnr.
8. Urban Human Mobility and Energy
Ehsan Dorostkar, Mahsa Najarsadeghi, and Xiao Huang
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
Yao Yao and Zijin Guo
10. Human Mobility Clustering Analysis: A Case Study of Ride-hailing Demand Analysis
Sudipta Roy, Jiechao Zhang, and Samiul Hasan
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
Haowen Xu, Jinghui Yuan, Anye Zhou et al.
12. Agent-based Modeling and Simulation for Smart Cities
Lingbo Liu
13. Trajectory Privacy Protection Approaches
Jinmeng Rao and Song Gao
14. Deep Learning-Based Modeling of Human Trajectory Uncertainty in Urban Environments
Zhewei Liu, Yue Yu, Henyu Gu et al.
15. Towards the Spatial Evolution between Distribution Snapshots: A Network Perspective
Di Zhu and Zhongfu Ma
Section IV: Advanced Topics and Future Directions
16. Human Mobility and Public Health
Tao Hu, Yaxiong Shao, and Changzhen Wang
17. The Challenges and Future Research for Human Mobilities in Nature Disasters
Junkang Xu and Chao Fan
18. From Vulnerability to Resilience: Rethinking Urban Transportation in a Changing Climate
Yiyi He
19. Human Mobility in the Post-Pandemic World
Yihong Yuan, Pingping Wang, Grant McKenzie et al.
20. The Influence of the COVID-19 Pandemic on Human Daily Mobility and Time Allocation
Hui Shi, Konstadinos G. Goulias, and Yuyang Wu
21. Sustainability Implications of Digital Twins for Urban Mobility
Mahdi Aghaabbasi, Soheil Sabri, and Xinyue Ye
22. From Human Mobility to Social Segregation: What Insights Can Social Media Data Provide?
Meiliu Wu and Qunying Huang
23. Measuring Public Transit Resilience with High-resolution Real-time Geospatial Data
Luyu Liu and Harvey J. Miller
24. Individual Environmental Exposure Dynamics Through the Lens of Neighborhood Effect
Averaging
Jiannan Cai and Mei-Po Kwan
25. Bike-sharing: Towards Equitable Urban Transportation
Yunhe Cui
26. Ridesourcing: A Game-Changer for Urban Mobility
Sicheng Wang
27. A Comparative Analysis of Governance of Urban Public Transport in Asian Cities
Madan B. Regmi
28. The Future of Urban Human Mobility Studies
Xiao Huang
Biography
Dr. Xiao Huang is an assistant professor in the Department of Environmental Sciences at Emory University. His research expertise encompasses human-environment interaction, computational social sciences, urban informatics, disaster mapping and mitigation, geospatial artificial intelligence (GeoAI), and disaster remote sensing. Dr. Huang has contributed extensively to his field, authoring over 200 peer-reviewed journal articles and over 20 book chapters and playing a pivotal role in editing five books. He is among the World’s Top 2% Scientists by Stanford/Elsevier’s rankings. In his professional capacity, he serves as an associate editor for Computational Urban Science and is a member of the editorial board for several prestigious journals. Dr. Huang’s research has garnered significant attention and received coverage in renowned media outlets such as Nature News, NASA, NBC, and Fox. His work has attracted substantial funding from NSF, NASA, the Bill and Melinda Gates Foundation, the National Academies, and the Centers for Medicare and Medicaid Services.
Dr. Xinyue Ye is the Harold Adams Endowed Professor in Urban Informatics and Stellar Faculty Provost Target Hire at Texas A&M University (TAMU). His research integrates computational social science, urban data science, and GeoAI 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. Dr. Ye was named one of the top 10 young scientists by the World Geospatial Developers Conference in 2021. His work has been funded by the National Academies, National Science Foundation, National Institutes of Health, National Institute of Justice, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, Department of Commerce, Department of Defense, Department of Energy, Department of Health and Human Services, Department of Housing and Urban Development, Department of Transportation, Department of the Treasury, Microsoft, Baptist Health Foundation, Robert Wood Johnson Foundation, and the Canada Social Sciences and Humanities Research Council.
Dr. Kathleen Stewart is a professor in the Department of Geographical Sciences 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. She investigates movement and mobility for a number of different application domains, for example, health and transportation where movement patterns or behaviors and spatial access are key topics. Her research is supported in part by grants from the National Institutes of Health, the National Science Foundation, the Federal Highway Administration, and Maryland Department of Natural Resources, among other organizations. Dr. Stewart serves as a member of the National Geospatial Advisory Committee (NGAC), a federal advisory committee sponsored by the Department of the Interior. She served on the Mapping Science Committee of the National Academies of Sciences, Engineering and Medicine (2016-2023). She is a fellow of the University Consortium of Geographic Information Science (UCGIS) and a member of the editorial boards of The International Journal of Geographical Information Science (IJGIS), Geographical Analysis, Journal of Spatial Information Science (JOSIS), and International Journal of Geo-Information and Geomatics, among others.
Dr. Subasish Das is an assistant professor of the Civil Engineering Program in the Ingram School of Engineering at Texas State University. He is also involved with Texas A&M Transportation Institute (TTI) as a part-time associate research scientist. He has more than 13 years of experience related to roadway safety, traffic operation, and connected and automated vehicle (CAV) technologies. He is a systems engineer by training, with hands-on experience in Six Sigma and Lean Engineering. His major areas of expertise include database management, statistical analysis, and machine learning with emphasis on safety and transportation operations, spatial analysis with modern web GIS tools, interactive data visualization, and deep learning tools for CAV technologies. Dr. Das is a prolific author. He has published more than 160 technical reports and journal articles. He is the author of the book Artificial Intelligence in Highway Safety, which was published by CRC Press in 2022. The AASHTO Research Advisory Committee (RAC) awarded one of his research reports as 2014 AASHTO Sweet Sixteen High Value Research Project. Dr. Das is an active member of ITE and ASCE. He is an Eno Fellow. He served as vice president of membership of the Young Professionals in Transportation Houston chapter. He is currently a member of three TRB Committees: Information and Knowledge Management (AJE45), Artificial Intelligence and Advanced Computing Applications (AED50), and Impairment in Transportation (ACS50).
