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Dataset of the enhanced demand prediction models in bike-sharing systems using graph structural information

Yang, Yuanxuan and Turner, Andy (2020) Dataset of the enhanced demand prediction models in bike-sharing systems using graph structural information. University of Leeds. [Dataset] https://doi.org/10.5518/851

Dataset description

The dataset underpins the findings reported in Yang, Y., Heppenstall, A., Turner, A., & Comber, A. (2020). Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems. Computers, Environment and Urban Systems, 83, 101521. https://doi.org/10.1016/j.compenvurbsys.2020.101521 The enhanced machine learning models, feature importance models are included along with the bike-sharing data.

Keywords: Bike-sharing; Traffic prediction; Graph theory; Urban dynamics; Sustainable transport
Subjects: L000 - Social studies > L700 - Human & social geography > L720 - Human & social geography by topic > L724 - Transport geography
Divisions: Faculty of Environment > School of Geography
Related resources:
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https://doi.org/10.1016/j.compenvurbsys.2020.101521Publication
http://eprints.whiterose.ac.uk/163290/Publication
Citation: Yang, Y., Heppenstall, A., Turner, A., & Comber, A. (2020). Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems. Computers, Environment and Urban Systems, 83, 101521.
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 07 Jan 2021 15:04
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/803

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