Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin
Joint Authors
Wang, Jian
Wang, Lei
Yang, Haiqiang
An, Shi
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes a public transit riders’ travel pattern measuring method based on divided cells and public transit vehicle’s GPS data.
The method consists of two parts: detecting urban origin and destination areas and measuring the public transit riders’ travel pattern.
Moreover, a series of indicators are proposed to reflect the public transit riders’ travel pattern.
A case study is carried out to evaluate the methods, which use the GPS data collected from taxis and buses in Harbin, China.
The study is expected to provide a better understanding of public transit riders’ travel patterns.
American Psychological Association (APA)
An, Shi& Wang, Lei& Yang, Haiqiang& Wang, Jian. 2017. Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin. Journal of Sensors،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187074
Modern Language Association (MLA)
An, Shi…[et al.]. Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin. Journal of Sensors No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1187074
American Medical Association (AMA)
An, Shi& Wang, Lei& Yang, Haiqiang& Wang, Jian. Discovering Public Transit Riders’ Travel Pattern from GPS Data: A Case Study in Harbin. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1187074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187074