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 INDICE: 1. Big Data and MaaS 2. MaaS system Development and APPs 3. Spatio-temporal Data Pre-processing Technologies 4. Travel Similarity Estimation and Clustering 5. Data Fusion Technologies for MaaS 6. Data-driven Optimization Technologies for MaaS 7. Data-driven Estimation for Urban Travel Shareability 8. MaaS system Data mining Technologies 9. IoT Technologies for MaaS 10. MaaS System Visualization 11. MaaS for Urban Sustainable Development
- ISBN: 978-0-323-90169-7
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 306
- Fecha Publicación: 05/10/2021
- Nº Volúmenes: 1
- Idioma: Inglés