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/10.5518/851¹

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 geography2
Divisions:	Faculty of Environment > School of Geography3
Related resources:	Location Type https://doi.org/10.1016/j.compenvurbsys.2020.1015214 Publication https://eprints.whiterose.ac.uk/163290/5 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:	https://archive.researchdata.leeds.ac.uk/id/eprint/8036
Additional details Additional details Creators or authors: 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/0000-0002-7970-25447 University of Leeds https://ror.org/024mrxd33 ror Turner, Andy https://orcid.org/0000-0002-6098-63138 University of Leeds https://ror.org/024mrxd33 ror 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 Metadata language: English Publisher: University of Leeds Contact email: gyyy@leeds.ac.uk9 Last Modified: 31 Oct 2024 10:46

Files

Documentation

README.txt [14kB] 10 README.txt [14kB] 11 README.txt [14kB] 12 Security: Anyone File name: README.txt13 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 14kB

Data

All data and code [705MB] 14 All data and code [705MB] 15 All data and code [705MB] 16 Security: Anyone File name: bike_forecast.zip17 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 705MB

• 1. https://doi.org/10.5518/851
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/L724.html
• 3. https://archive.researchdata.leeds.ac.uk/view/divisions/GEOG/
• 4. https://doi.org/10.1016/j.compenvurbsys.2020.101521
• 5. https://eprints.whiterose.ac.uk/163290/
• 6. https://archive.researchdata.leeds.ac.uk/id/eprint/803
• 7. https://orcid.org/0000-0002-7970-2544
• 8. https://orcid.org/0000-0002-6098-6313
• 9. mailto:gyyy@leeds.ac.uk
• 10. https://archive.researchdata.leeds.ac.uk/803/2/README.txt
• 11. https://archive.researchdata.leeds.ac.uk/803/2/README.txt
• 12. https://archive.researchdata.leeds.ac.uk/803/2/README.txt
• 13. https://archive.researchdata.leeds.ac.uk/803/2/README.txt
• 14. https://archive.researchdata.leeds.ac.uk/803/1/bike_forecast.zip
• 15. https://archive.researchdata.leeds.ac.uk/803/1/bike_forecast.zip
• 16. https://archive.researchdata.leeds.ac.uk/803/1/bike_forecast.zip
• 17. https://archive.researchdata.leeds.ac.uk/803/1/bike_forecast.zip