This book focuses on the innovative use of multi-source heterogeneous data to address key issues in public transit systems. Readers will explore advanced methodologies for data mining, problem diagnosis, mechanism analysis, and stochastic optimization tailored to the public transit context.

This book stands out by integrating the latest in data processing techniques, pattern recognition, and mechanism analysis, providing a comprehensive framework for systematic diagnosis and optimization of transit systems. By examining both microscopic and macroscopic perspectives, it offers insights into passenger behavior, system reliability, and personalized transit solutions.

The unique approach of this book lies in its holistic perspective, emphasizing the study of patterns, problem diagnosis, mechanism analysis, and model construction through the use of multi-source heterogeneous public transit data. It bridges the gap between multi-source data analysis, Bayesian network technology, and synergistic optimization models, serving as a crucial resource for researchers, practitioners, and policymakers who aim to enhance the efficiency, reliability, and passenger satisfaction of public transit systems.

Dr. Shaopeng Zhong is a professor in the School of Economics and Management at Dalian University of Technology. In 2005, he received his bachelor's degree in transportation engineering from Harbin Institute of Technology, China. In 2010, he obtained his doctorate from Southeast University, China. He is a visiting scholar in urban and regional planning at the University of North Carolina at Chapel Hill (2008-2010). He is a guest professor at the Technical University of Denmark (2017-2018) and Lancaster University (2025). He has more than 20 years of professional experience in the field of urban transportation network analysis, land use and transportation integration modeling, machine learning and transportation system optimization, logic-driven transport big data analysis, and shared autonomous mobility. He has written and published four books and more than fifty scientific papers in the top journals in the field of transportation planning, such as npj Urban Sustainability, Transportation Research Part A, Transportation Research Part C, Transportation Research Part E, European Journal of Operational Research, Computer-Aided Civil and Infrastructure Engineering, Cities, Applied Energy, IEEE Transactions on ITS, Journal of Transport Geography, Computers, Environment and Urban Systems, Journal of Transport & Health, Journal of Transport and Land Use, Journal of Transportation Engineering-ASCE, IET Intelligent Transport Systems, and Journal of Advanced Transportation. He is a member of China Intelligent Transportation Systems Association Youth Expert Committee and a member of Intelligent Transportation Professional Committee of Chinese Association for Artificial Intelligence. He is the guest editor of the Journal of Transport and Land Use (SSCI index) and Journal of Advanced Transportation (SCI index), editorial board member of Transportation Letters: The International Journal of Transportation Research (SCI/SSCI index), Transportation Management, Journal of Civil Engineering Inter Disciplinaries, and Frontiers in Future Transportation (Transportation Emissions). He is the chairman of the urban planning and travel behavior technical committee of the World Transport Convention. He is the organizing committee and scientific committee of several international conferences, such as the International Conference on Traffic Engineering and Transportation System (ICTETS), the International Workshop on Integrated Land Use and Transport Modeling (ILUTM), 6th International Symposium on Travel Demand Management (TDM), Transportation Research Congress (WRC), and the 2017 International Conference on Economic Development and Management Engineering (EDME).
  
Dr. Jiang is an Associate Professor at Lancaster University and the Technical University of Denmark. He previously held research positions at the University of Oxford and the University of Hong Kong. His work focuses on applying operational research methodologies to optimise urban transportation systems. He has collaborated with major public transport operators in the Copenhagen metropolitan area, developing models that enhance network level coordination across operators. He is listed among the World’s Top 2% Scientists by Stanford University and Elsevier, and his research has been supported by the European Union, the Independent Research Fund Denmark, the Otto Mønsted Foundation, the Royal Society of the United Kingdom, and the EuroTech Alliance.