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Bike-Sharing System: A Big-Data Perspective

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Book cover Smart Computing and Communication (SmartCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10135))

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Abstract

Bike-sharing systems, as a green travel way, recently have been widely spreading over 1000 cities around the world. How to plan and optimize such systems receive attention in academia as well as in practice. However, scientific literature about planning, usage prediction, pattern analysis, and system operation in this field is still rather scarce and full of challenges. And the solutions of these articles can hardly meet the increasing the demands of users and management of bike-sharing systems in the big-data era. To this end, a comprehensive literature comparison and analysis has been given focused on four topics. Then, a bike-sharing systems process framework from a big-data analysis perspective is proposed in the paper.

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Acknowledgments

This paper is supported by Research Project Supported by Shanxi Scholarship Council of China under grant No. 2016-044.

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Authors and Affiliations

  1. College of Information Engineering, Taiyuan University of Technology, 79 Yingze West Street, Taiyuan, 030024, China

    Zhili Jia, Gang Xie & Jerry Gao

  2. Computer Engineering Department, San Jose State University, 1 Washington Square, San Jose, California, 95192, USA

    Jerry Gao

  3. School of Information Technology, Deakin University, 221 Burwood HWY, Burwood, Victoria, 3125, Australia

    Shui Yu

Authors
  1. Zhili Jia
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  2. Gang Xie
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  3. Jerry Gao
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  4. Shui Yu
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Corresponding author

Correspondence to Gang Xie .

Editor information

Editors and Affiliations

  1. Pace University, New York, New York, USA

    Meikang Qiu

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Jia, Z., Xie, G., Gao, J., Yu, S. (2017). Bike-Sharing System: A Big-Data Perspective. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_56

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  • DOI: https://doi.org/10.1007/978-3-319-52015-5_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52014-8

  • Online ISBN: 978-3-319-52015-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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