logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Big Data and Mobility as a Service by Haoran Zhang, Xuan Song, Ryosuke Shibasaki ISBN 9780323901697, 0323901697

  • SKU: EBN-35111244
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

24 reviews
Instant download (eBook) Big Data and Mobility as a Service after payment.
Authors:Haoran Zhang, Xuan Song, Ryosuke Shibasaki
Pages:308 pages.
Year:2021
Editon:1
Publisher:Elsevier
Language:english
File Size:63.73 MB
Format:pdf
ISBNS:9780323901697, 0323901697
Categories: Ebooks

Product desciption

(Ebook) Big Data and Mobility as a Service by Haoran Zhang, Xuan Song, Ryosuke Shibasaki ISBN 9780323901697, 0323901697

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 the market and policy decisions, this book is an essential tool for urban transportation management researchers and practitioners. Summarizes systematically 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
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products