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- 306 pages
- English
- ePUB (mobile friendly)
- Only available on web
eBook - ePub
Big Data and Mobility as a Service
Book details
Table of contents
Citations
About This Book
Big Data and Mobility as a Service explores MaaS platforms that can be adaptable to the ever-evolving mobility environment. It looks at multi-mode urban crowd data to assess urban mobility characteristics, their shared transportation potential, and their performance conditions and constraints. The book analyzes the roles of multimodality, travel behavior, urban mobility dynamics and participation. Combined with insights on using big data to analyze market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners.
- Summarizes current fundamental MaaS technologies
- Shows how to utilize anonymous big data for transportation analysis and problem-solving
- Illustrates, with data-enabled shared transportation service examples from different countries, the similarities and differences within a global urban mobility framework
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Yes, you can access Big Data and Mobility as a Service by Haoran Zhang,Xuan Song,Ryosuke Shibasaki in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Transportation & Navigation. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Introduction
- Chapter 1: MaaS system development and APPs
- Chapter 2: Spatio-temporal data preprocessing technologies
- Chapter 3: Travel similarity estimation and clustering
- Chapter 4: Data fusion technologies for MaaS
- Chapter 5: Data-driven optimization technologies for MaaS
- Chapter 6: Data-driven estimation for urban travel shareability
- Chapter 7: Data mining technologies for Mobility-as-a-Service (MaaS)
- Chapter 8: MaaS and IoT: Concepts, methodologies, and applications
- Chapter 9: MaaS system visualization
- Chapter 10: MaaS for sustainable urban development
- Index