Research Data Leeds Repository
Dataset of the enhanced demand prediction models in bike-sharing systems using graph structural information
Citation
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 | ||||||
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Subjects: | L000 - Social studies > L700 - Human & social geography > L720 - Human & social geography by topic > L724 - Transport geography | ||||||
Divisions: | Faculty of Environment > School of Geography | ||||||
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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: | https://archive.researchdata.leeds.ac.uk/id/eprint/803 | ||||||