Research Data Leeds Repository

Citation

Yang, Yuanxuan and Heppenstall, Alison and Turner, Andy and Comber, Alexis (2019) A dataset of dockless bike sharing trips and road network for Nanchang, China. University of Leeds. [Dataset] https://doi.org/10.5518/619

Dataset description

The dataset includes the data and scripts in the paper “ Yang Y, Heppenstall A, Turner AGD and Comber A. A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. Paper accepted for publication in Computers Environment and Urban Systems (July 2019)”. It contains (1) Road Network and dockless bike trips of 10 weekdays in Nanchang, China (2) Scripts used to produce the result in the paper.

Keywords:	Human Geography, Transport, Urban Dynamics, Bike Sharing
Divisions:	Faculty of Environment > School of Geography
Related resources:	Location Type https://doi.org/10.1016/j.compenvurbsys.2019.101361 Publication https://eprints.whiterose.ac.uk/148111/ Publication
Date deposited:	12 Nov 2019 18:28
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/603
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/0000-0002-7970-2544 University of Leeds https://ror.org/024mrxd33 ror Heppenstall, Alison https://orcid.org/0000-0002-0663-3437 University of Leeds https://ror.org/024mrxd33 ror Turner, Andy https://orcid.org/0000-0002-6098-6313 University of Leeds https://ror.org/024mrxd33 ror Comber, Alexis https://orcid.org/0000-0002-3652-7846 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: University of Leeds, Chinese Scholarship Council, Natural Environment Research Council, Economic and Social Research Council Grant numbers: 201606420071, NE/S009124/1, ES/R007918/1 Publication date: 2019 Resource language: English Metadata language: English Research project title: Using mobility big data to reveal urban dynamics Publisher: University of Leeds Last Modified: 30 Oct 2024 11:18

Files

Documentation

Read me [880B] Read me [880B] Read me [880B] Security: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 880B

Data

Dockless bike trips data [2MB] Dockless bike trips data [2MB] Dockless bike trips data [2MB] Security: Anyone File name: data.Rdata Content type: Data Description: dockless bike trips data, recording their origin and destination road segments; it is provided using ".Rdata" format, and can be imported into R. License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2MB

Road Network Segments data [541kB] Road Network Segments data [541kB] Road Network Segments data [541kB] Security: Anyone File name: RoadNetworkSegments.zip Content type: Data Description: Road Network Segments data in the study area; it is provided using ".shp" format and can be imported into GIS software (e.g. ArcGIS, QGIS) Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 541kB

Program

R Scripts [26kB] R Scripts [26kB] R Scripts [26kB] Security: Anyone File name: Script.R Content type: Program Description: R Scripts for (1) graph-based analysis; (2)spatial analysis as described in the paper License: MIT License File size: 26kB