Exploring Urban Taxi Drivers’ Activity Distribution Based on GPS Data
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
With the rapid development of information communication technology and data mining technology, we can obtain taxi vehicle’s real time operation status through the large-scale taxi GPS trajectories data and explore the drivers’ activity distribution characteristics.
Based on the 204 continuous hours of 3198 taxi vehicles’ operation data of Shenzhen, China, this paper analyzed the urban taxi driver’s activity distribution characteristics from different temporal and spatial levels.
In the time level, we identified the difference with taxi daily operation pattern (weekday versus weekends), continuous time in one day, passengers in vehicle time, and taxi drivers’ operation frequency; in the space level, we explored the taxi driver’s searching pattern, including searching activity space distribution and the relationship between the pick-up locations and the drop-off locations.
This research can be helpful for urban taxi drivers’ operation and behavior pattern identification, as well as the contribution to the geographical activity space analysis.
American Psychological Association (APA)
Hu, Xiaowei& An, Shi& Wang, Jian. 2014. Exploring Urban Taxi Drivers’ Activity Distribution Based on GPS Data. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-492265
Modern Language Association (MLA)
Hu, Xiaowei…[et al.]. Exploring Urban Taxi Drivers’ Activity Distribution Based on GPS Data. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-492265
American Medical Association (AMA)
Hu, Xiaowei& An, Shi& Wang, Jian. Exploring Urban Taxi Drivers’ Activity Distribution Based on GPS Data. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-492265
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492265