Mobility data in bike-sharing systems

Liang，Youyi1; Yuan，Meng2; Li，Zhuochao1; Zhou，Hao1; Zhang，Haoran3; Yu，Qing4,5; Liang，Yongtu1

2023

Bike-sharing systems Data mining Mobility data Optimization

英语

Bike-sharing systems (BSS) have raised increasing interest because of their convenience, being environmentally friendly, etc. Real-life mobility data is one of the most feasible support tools for decision-making in integrating BSS into urban transportation systems. Mobility data includes cell phone global positioning system data, traffic smart card data, mobile social network check-in data, etc. With the development of the Internet of Things and social networks, mobility data mining technology is becoming more and more advanced, which helps the optimal design and operation of BSS. This paper reviews the current applications of mobility data mining technology in BSS study, and three examples are summarized to illustrate the application process and results in detail. Mobility data-based technology enables a more practical and rational BSS.

10.1016/B978-0-323-95892-9.00008-5

Handbook of Mobility Data Mining: Volume 3: Mobility Data-Driven Applications

3

1-22

其他

2-s2.0-85152813922

Scopus

1.National Engineering Laboratory for Pipeline Safety,MOE Key Laboratory of Petroleum Engineering,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology,China University of Petroleum-Beijing,Beijing,China
2.Department of Planning,Aalborg University,Aalborg,Denmark
3.School of Urban Planning and Design,Peking University,Shenzhen,China
4.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China
5.The Key Laboratory of Road and Traffic Engineering,Ministry of Education,Tongji University,College of Transportation Engineering,Shanghai,China

Liang，Youyi,Yuan，Meng,Li，Zhuochao,et al. Mobility data in bike-sharing systems. 2023-01-01.