Data and Software

The Just & Green Transportation Lab supports open science. This web page will be constantly updated as more research results from the lab become avilable. If you find the codes, data, or other products to be useful, please kindly cite the publication listed under each product.


Software code

[1] Scrapping General Bikeshare Feed Specification (GBFS) data from public APIs: Python code (Download)

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. Transportation Research Record, 2676(11), 223-238.


[2] Mobility Hub Planning Tool: Python code and ArcGIS Toolbox (Download)



[1] Sample General Bikeshare Feed Specification (GBFS) data (Download) 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. Transportation research part D: transport and environment, 101, 103088.


Databases and application platforms

[1] Micromobility Analytics and Management Platform

Watch the video

  Related citation:
Su, L. Yan, X., Zhao, X. (2024). Micromobility equity: A comparison of shared e-scooters and station-based bikeshare in Washington DC. Transport Policy, 145, 25-36.


[2] Transit On-time Performance Dashboard


Survey instrument

[1] Transit and share micromobility survey questionnaire (Download)

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. Transportation Research Part D: Transport and Environment, 117, 103640.