Sustainable Transportation Systems Research Group (STSRG), Purdue
University
Publications
- Ling, J., Qian, X., & Gkritza, K. (2024).
Comparison of Crash Characteristics Among Electric Vehicles and Internal
Combustion Engine Vehicles. engrxiv preprint. https://doi.org/10.31224/3693
- Ling, J., Qian, X., & Gkritza, K. (2025).
Electric vehicles vs. internal combustion engine vehicles: A comparative
study of crashes involving vulnerable road users. International
Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2025.03.006
Seminar, Symposium, & Conference Presentations
- Ling, J., Qian, X., & Gkritza, K. (2022).
Exploration of the Characteristics of Electric Vehicle Crashes: A Case
Study in Iowa [PowerPoint presentation]. 2022
Purdue Summer Undergraduate Research Fellowship (SURF)
Symposium, West Lafayette, IN, United States.
- Ling, J., Qian, X., & Gkritza, K. (2024).
Electric Vehicles vs. Internal Combustion Engine Vehicles: A Comparative
Study of Non-Motorist Crash Injury Severity [Poster presentation]. Transportation
Research Board 103rd Annual Meeting, Washington, D.C., United
States.
- Ling, J., Qian, X., & Gkritza, K. (2024).
Exploring the Determinants of Non-Motorist Injury Severity in Crashes
Involving Electric Vehicles (EVs) and Non-EVs [Poster presentation]. Road Safety
& Simulation Conference, Lexington, KY, United States.
The Collaborative Computing Group (MadCollab), University of
Wisconsin-Madison
- Ling, J., & Jackson, C. B. (2024). Exploring
Convergence in Relation using Association Rules Mining: A Case Study in
Collaborative Knowledge Production. arXiv preprint
arXiv:2404.15440.
- Jackson, C. B., Jeong E., and Ling, J. (2025).
Exploring Tag-Based Collaborative Knowledge Production in Open
Collaboration. (Revisions in Progress)
Department of Statistics, University of Chicago
- Ling, J. (2024). Investigating Central England
Temperature Variability: Statistical Analysis of Associations with North
Atlantic Oscillation (NAO) and Pacific Decadal Oscillation (PDO).
arXiv preprint arXiv:2412.14196.
- Ling, J., & Wu, W. B. (2025). Comparative
Analysis of Global and Local Probabilistic Time Series Forecasting for
Contiguous Spatial Demand Regions. arXiv preprint
arXiv:2509.08214.
[Home]