Reports Outline Risk Management Study Results from Inner Mongolia University (Detection approach for unusable shared bikes enabled by reinforcement learning and PageRank algorithm): Insurance – Risk Management

2023 JUN 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on risk management. According to news reporting originating from Hohhot, People’s Republic of China, by NewsRx correspondents, research stated, “Existing research models can neither indicate the availability of shared bikes nor detect unusable ones owing to a lack of information on bike maintenance and failure.”

Funders for this research include National Natural Science Foundation of China.

The news correspondents obtained a quote from the research from Inner Mongolia University: “To improve awareness regarding the availability of shared bikes, we propose an innovative approach for detecting unusable shared bikes based on reinforcement learning and the PageRank algorithm. The proposed method identifies unusable shared bikes depending on the local travel data and provides a ranking of the shared bikes according to their availability levels. Given a sliding time window, the value function for the reinforcement learning model was determined by considering the cumulative number of unavailable shared bikes, the proportion of rental cancelations at the same stations, and the mean time between the cancelations. Reinforcement learning was then used to identify shared bikes with the worst availability. An availability ranking for the shared bikes below the reward threshold was performed using the PageRank algorithm. The proposed detection approach was applied to a trip dataset of a real-world bike-sharing system to illustrate the modeling process and its effectiveness.”

According to the news reporters, the research concluded: “The detection results of unusable shared bikes in the absence of failure and feedback data can provide essential information to support the maintenance management decisions regarding shared bikes.”

For more information on this research see: Detection approach for unusable shared bikes enabled by reinforcement learning and PageRank algorithm. Journal of Safety Science and Resilience, 2023,4(2):220-227. The publisher for Journal of Safety Science and Resilience is KeAi Communications Co., Ltd.

A free version of this journal article is available at https://doi.org/10.1016/j.jnlssr.2023.02.001.

Our news editors report that more information may be obtained by contacting Yu Zhou, College of Economics and Management, Inner Mongolia University, Hohhot 010021, People’s Republic of China. Additional authors for this research include Ran Zheng, Gang Kou.

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