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Author:

Shang, W.-L. (Shang, W.-L..) | Zhang, H. (Zhang, H..) | Sui, Y. (Sui, Y..)

Indexed by:

Scopus

Abstract:

This chapter mainly introduces big data technologies for MaaS. Firstly, the development, definition, and purpose of MaaS and the significance of data mining technologies for MaaS are introduced briefly. Following this, the definition of data mining, its processing objects, classical steps and processes, and types of traffic big data are reviewed. Afterward, data mining technologies such as support vector machine, linear regression, decision tree, and clustering analysis are introduced. Finally, a case study of data mining technology used for bike-sharing in Beijing during the Covid-19 pandemic is presented to demonstrate the role of data mining technologies in travel behaviors. This chapter mainly provides a clue or reference for the exploration of big data analysis of MaaS. © 2022 Elsevier Inc. All rights reserved.

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Author Community:

  • [ 1 ] [Shang W.-L.]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang H.]Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan
  • [ 3 ] [Sui Y.]Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan
  • [ 4 ] [Sui Y.]College of Computer Science and Technology, Qingdao University, Qingdao, China
  • [ 5 ] [Sui Y.]Institute of Smart City and Big Data Technology, Qingdao, China

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Source :

Year: 2021

Page: 203-228

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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