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ISPRS Int. J. Geo-Inf. 2017, 6(11), 339; https://doi.org/10.3390/ijgi6110339

Exploring Spatiotemporal Patterns of Long-Distance Taxi Rides in Shanghai

1
College of Surveying and Geo-infomatics, Tongji University, Shanghai 200092, China
2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
3
Shanghai Baosight Software Co., Ltd., Shanghai 201900, China
*
Author to whom correspondence should be addressed.
Received: 31 August 2017 / Revised: 2 October 2017 / Accepted: 26 October 2017 / Published: 3 November 2017
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Abstract

Floating Car Data (FCD) has been analyzed for various purposes in past years. However, limited research about the behaviors of taking long-distance taxi rides has been made available. In this paper, we used data from over 12,000 taxis during a six-month period in Shanghai to analyze the spatiotemporal patterns of long-distance taxi trips. We investigated these spatiotemporal patterns by comparing them with metro usage in Shanghai, in order to determine the extent and how the suburban trains divert the passenger flow from taxis. The results identified 12 pick-up and six drop-off hotspots in Shanghai. Overall, the pick-up locations were relatively more concentrated than the drop-off locations. Temporal patterns were also revealed. Passengers on long-distance taxi rides were observed to avoid the rush hours on the street as their first priority and tried to avoid the inconvenience of interchanges on the metro lines as their second priority. View Full-Text
Keywords: Floating Car Data (FCD); spatiotemporal patterns; hotspots Floating Car Data (FCD); spatiotemporal patterns; hotspots
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wu, H.; Fan, H.; Wu, S. Exploring Spatiotemporal Patterns of Long-Distance Taxi Rides in Shanghai. ISPRS Int. J. Geo-Inf. 2017, 6, 339.

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