Demand estimation of public bike-sharing system based on temporal and spatial correlation

Xiawen Yao; Xingfa Shen; Tian He; Sang Hyuk Son

doi:10.1109/BIGCOM.2018.00016

Demand estimation of public bike-sharing system based on temporal and spatial correlation

Xiawen Yao, Xingfa Shen, Tian He, Sang Hyuk Son

Center for Transportation Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Nowadays, public Bike-Sharing Systems (BSSs) are broadly deployed in many cities around the world. It is important to obtain accurate user demand of BSS for better system planning and bicycle scheduling. The actual user demand includes not only the users who are served, but also those who are not served by BSS. In this study, we take into account the situations that users are not served for the first time. We propose a three-step demand estimation model to infer the situations that users are not served from both the temporal and spatial correlation, based on the two characteristics of station usage, long-term stability and shortterm volatility. The demand estimation model proposed is evaluated based on Washington D.C. bike-sharing system and uses the comprehensive information of three datasets, user trip data, station status data, and station location data. Compared with the ground truth of user demand, the minimum relative error in the experimental results of the entire system is 45.5%.

Original language	English (US)
Title of host publication	Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	60-65
Number of pages	6
ISBN (Electronic)	9781538680216
DOIs	https://doi.org/10.1109/BIGCOM.2018.00016
State	Published - Oct 9 2018
Event	4th International Conference on Big Data Computing and Communications, BIGCOM 2018 - Chicago, United States Duration: Aug 7 2018 → Aug 9 2018

Publication series

Name	Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018

Other

Other	4th International Conference on Big Data Computing and Communications, BIGCOM 2018
Country/Territory	United States
City	Chicago
Period	8/7/18 → 8/9/18

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the National Science Foundation of China (NSFC) under Grants No.61672198, 61772551 and Zhejiang Provincial Natural Science Foundation under Grant No.LY14F020047, LS17G03001, and DGIST Global Research Laboratory Program (2013K1A1A2A02078326), Funded by the Korean MSIP (No.B0101-15-0557, Resilient Cyber-Physical Systems Research).

Publisher Copyright:
© 2018 IEEE.

Keywords

Bike-sharing system
Demand estimation
Spatial correlation
Temporal correlation

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10.1109/BIGCOM.2018.00016

Cite this

Yao, X., Shen, X., He, T., & Son, S. H. (2018). Demand estimation of public bike-sharing system based on temporal and spatial correlation. In Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018 (pp. 60-65). [8488625] (Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIGCOM.2018.00016

Demand estimation of public bike-sharing system based on temporal and spatial correlation. / Yao, Xiawen; Shen, Xingfa; He, Tian; Son, Sang Hyuk.

Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 60-65 8488625 (Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yao, X, Shen, X, He, T & Son, SH 2018, Demand estimation of public bike-sharing system based on temporal and spatial correlation. in Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018., 8488625, Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018, Institute of Electrical and Electronics Engineers Inc., pp. 60-65, 4th International Conference on Big Data Computing and Communications, BIGCOM 2018, Chicago, United States, 8/7/18. https://doi.org/10.1109/BIGCOM.2018.00016

Yao X, Shen X, He T, Son SH. Demand estimation of public bike-sharing system based on temporal and spatial correlation. In Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 60-65. 8488625. (Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018). https://doi.org/10.1109/BIGCOM.2018.00016

Yao, Xiawen ; Shen, Xingfa ; He, Tian ; Son, Sang Hyuk. / Demand estimation of public bike-sharing system based on temporal and spatial correlation. Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 60-65 (Proceedings - 2018 4th International Conference on Big Data Computing and Communications, BIGCOM 2018).

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Demand estimation of public bike-sharing system based on temporal and spatial correlation

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