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International Society of Science and Applied Technologies |
| Shared Bike Availability Ranking Approach without Failure Data | ||||
| Author | Yu Zhou
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| Co-Author(s) | Ran Zheng; Gang Kou
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| Abstract | Shared bikes maintenance management is essential for realizing sustainable development of the bike-sharing system (BSS). Although Intelligent Transportation System (ITS) produces rich information, the failure information of shared bikes is still lacking, resulting in untimely maintenance. Once an unavailable shared bike cannot be recovered to the normal state quickly, the cancelling rental phenomenon of this shared bike will occur frequently. Assume this phenomenon have implied potential information on the availability of shared bikes. A model framework is proposed to explore the availability of shared bikes. In this framework, the trip chain concept is introduced to structure the user cancelling rental characteristic. A binary topological relationship is extracted to convey the relative availability. Then the relative availability of all shared bikes is ranked using the topological sort algorithm of directed cyclic graphs. Finally, this paper investigates a case study based on real-world ITS data to illustrate the effectiveness and applications of this framework. This study presents a novel solution for shared bikes' availability analysis based on a brandnew perspective, which can assist and improve the operation and maintenance management of shared bikes.
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| Keywords | Availability; unusable shared bike; maintenance; trip chain; topological ranking | |||
| Article #: RQD28-127 | ||||
Proceedings of 28th ISSAT International Conference on Reliability & Quality in Design |