Fast and efficient discovery of key bike stations in bike sharing systems big datasets

作者：

Highlights：

• Bike Sharing Systems (BSS) big dataset is evaluated.

• A new method is proposed for discovering key bike stations in BSS.

• Two interest measures are proposed for discovering key bike stations.

• Two algorithms are proposed for fast and efficiently discovery of key stations.

• Performances of proposed algorithms are evaluated using real big dataset of BSS.

摘要

•Bike Sharing Systems (BSS) big dataset is evaluated.•A new method is proposed for discovering key bike stations in BSS.•Two interest measures are proposed for discovering key bike stations.•Two algorithms are proposed for fast and efficiently discovery of key stations.•Performances of proposed algorithms are evaluated using real big dataset of BSS.

论文关键词：Bike sharing systems,Urban pattern discovery,Key stations discovery,Big data mining,Urban decision making

论文评审过程：Received 7 October 2020, Revised 2 December 2020, Accepted 22 January 2021, Available online 1 February 2021, Version of Record 2 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114659