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 bikesharing systems process framework from a big-data analysis perspective is proposed in the paper.
CITATION STYLE
Jia, Z., Xie, G., Gao, J., & Yu, S. (2017). Bike-sharing system: A big-data perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10135 LNCS, pp. 548–557). Springer Verlag. https://doi.org/10.1007/978-3-319-52015-5_56
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