The Just & Green Transportation Lab supports open science. This web page will be constantly updated as more research results from the lab become available. If you find the codes, data, or other products to be useful, please kindly cite the publication listed under each product.
Software code
[1] Scraping General Bikeshare Feed Specification (GBFS) data from public APIs: Python code (Download the GBFS data extraction Python code)
Related citation:
Xu, Y., Yan, X., Sisiopiku, V. P., Merlin, L. A., Xing, F., & Zhao, X. (2022). Micromobility trip origin and destination inference using general bikeshare feed specification data, https://doi.org/10.1177/03611981221092005. Transportation Research Record, 2676(11), 223-238.
[2] Mobility Hub Planning Tool: Python code and ArcGIS Toolbox (Download the Mobility Hub Planning Tool)
Data
[1] Sample General Bikeshare Feed Specification (GBFS) data (Download the sample GBFS dataset) obtained from public APIs. Please contact us if you need access to the full dataset.
Related citation:
Yan, X., Yang, W., Zhang, X., Xu, Y., Bejleri, I., & Zhao, X. (2021). A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikeshare, https://doi.org/10.1016/j.trd.2021.103088. Transportation research part D: transport and environment, 101, 103088.
[1] Micromobility Analytics and Management Platform
Watch a 3-min demo.
Related citation:
Yan, X., Yang, W., Zhang, X., Xu, Y., Bejleri, I., Zhao, X. (2021). A spatiotemporal analysis of e-scooters’ relationships with transit and station-based bikesharing. [Download Preprint]. Transportation Research Part D: Transport and Environment. 12, 103088. https://doi.org/10.1016/j.trd.2021.103088
[2] Transit On-time Performance Dashboard
Survey instrument
[1] Transit and shared micromobility survey questionnaire (Download the survey questionnaire)
Related citation:
Yan, X., Zhao, X., Broaddus, A., Johnson, J., & Srinivasan, S. (2023). Evaluating shared e-scooters’ potential to enhance public transit and reduce driving, https://doi.org/10.1016/j.trd.2023.103640. Transportation Research Part D: Transport and Environment, 117, 103640.