Big Data and Mobility as a Service

Big Data and Mobility as a Service book cover

Big Data and Mobility as a Service

Author(s): Haoran Zhang (Editor), Xuan Song (Editor), Ryosuke Shibasaki (Editor)

  • Publisher: Elsevier
  • Publication Date: 18 Oct. 2021
  • Language: English
  • Print length: 306 pages
  • ISBN-10: 0323901697
  • ISBN-13: 9780323901697

Book Description

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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Shows how big data helps integrate modes of transport through mobility as a service (MaaS)

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