Big data and mobility as a service / editors, Haoran Zhang, Xuan Song, Ryosuke Shibasaki.

Format:

Book

Contributor:

Zhang, Haoran (College teacher), editor.

Song, Xuan, editor.

Shibasaki, Ryosuke, editor.

Language:

English

Subjects (All):

Transportation engineering--Data processing.

Transportation engineering.

Urban transportation--Information technology.

Urban transportation.

Big data.

Physical Description:

1 online resource (308 pages)

Place of Publication:

Amsterdam, Netherlands : Elsevier, [2022]

Summary:

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.

Contents:

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

2.2. Urban spatial structure.

Notes:

Description based on print version record.

ISBN:

0-323-90170-0

9780323901703

OCLC:

1276856883