Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects

• Tae San Kim,

  Roles Data curation, Investigation, Methodology, Validation, Visualization, Writing – original draft

  Affiliation Department of Industrial Engineering, Yonsei University, Shinchon-dong, Seoul, Republic of Korea

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• Won Kyung Lee ,

  Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

  * E-mail: sohns@yonsei.ac.kr (SYS); wk.lee@yonsei.ac.kr (WKL)

  Affiliation Department of Industrial Engineering, Yonsei University, Shinchon-dong, Seoul, Republic of Korea

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• So Young Sohn

  Roles Funding acquisition, Investigation, Supervision, Writing – review & editing

  * E-mail: sohns@yonsei.ac.kr (SYS); wk.lee@yonsei.ac.kr (WKL)

  Affiliation Department of Industrial Engineering, Yonsei University, Shinchon-dong, Seoul, Republic of Korea

  http://orcid.org/0000-0002-3958-2269

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