Liu Kai

This book presents a groundbreaking examination of the intricate dynamics shaping the customized bus (CB) service industry. Through a meticulous exploration segmented into three distinct parts, this book offers a holistic approach by dissecting the foundational elements, user behaviors, and environmental influences that collectively drive the success or failure of CB services. The authors employ a multidisciplinary lens, blending empirical research with theoretical insights to unpack the complexities of demand evolution and user loyalty within the CB service sector. This novel approach integrates statistical analyses, user behavior modeling, and environmental effects assessment to provide a comprehensive view of the industry's current state and future prospects. Setting this work apart is its emphasis on the interplay between service provider strategies and the built environment effects, a relatively unexplored dimension in transportation studies. The book introduces pioneering models for understanding user choice behavior and loyalty, considering the heterogeneity of individual preferences and the significant impact of urban built environment. Covering a range of topics from the basic role of CB in transportation systems to advanced analyses of subscribing behavior and market adaptation strategies, the book is designed for a diverse audience. Academics, industry professionals, urban planners, and policymakers will find its content accessible and applicable, with insights beneficial for both introductory learners and advanced practitioners. Strategic Recommendations: Through its analytical rigor, the book equips stakeholders with practical strategies to enhance service viability, promote user loyalty, and navigate the operational complexities of the CB service landscape.

This book comprehensively and systematically introduces the research and application of digital twin operation and maintenance technology for high-speed train traction power supply system. The book is divided into six chapters, which introduce the digital twin architecture of high-speed train traction power supply system, digital twin modeling of power supply system, multi-physical field digital twin of train key equipment, digital twin of typical train scenarios, and digital twin operation and maintenance of train traction power supply system. This book is novel and focused, the whole book is oriented to the actual engineering problems, covering the theoretical frameworks, model building, data analysis, and application practice. It extensively describes digital twin modeling and intelligent operation and maintenance methods for high-speed train traction power supply systems, proposing a novel approach of digital twin intelligent operation and maintenance based on deep learning image recognition, aiming to ensure the safe operation of high-speed trains. It could be serve as a reference book for graduate students and professionals in rail transit and power engineering.