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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:	Location Type https://doi.org/10.1016/j.compenvurbsys.2020.101521 Publication 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
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Yang, Yuanxuan https://orcid.org/0000-0002-7970-2544 University Of Leeds https://doi.org/10.13039/501100000777 crossref Turner, Andy https://orcid.org/0000-0002-6098-6313 University Of Leeds https://doi.org/10.13039/501100000777 crossref Type of data: Dataset Research funders: (1) University of Leeds and Chinese Scholarship Council; (2) Natural Environment Research Council; (3) Economic and Social Research Council Alan Turing research fellowship Grant numbers: (1) 201606420071; (2) NE/S009124/1; (3) ES/R007918/1 Publication date: 2020 Resource language: English Publisher: University of Leeds Contact Email Address: gyyy@leeds.ac.uk Last Modified: 07 Jan 2021 23:35

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Documentation

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Data

All data and code [705MB] All data and code [705MB] All data and code [705MB] Visible to: Anyone File name: bike_forecast.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 705MB