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.
 Python code (Download) for scrapping General Bikeshare Feed Specification (GBFS) data from public APIs.
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.
 Sample General Bikeshare Feed Specification (GBFS) data (Download) obtained from public APIs. Please contact us if you need access to the full dataset.
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
 Micromobility Analytics and Management Platform
 Transit On-time Performance Dashboard
 Transit and share micromobility survey questionnaire (Download)
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.