Publications & Presentations

PUBLICATIONS

Published in Peer-Reviewed Journals

  1. Li, Y., Fan, W., Song, L., & Liu, S. (2023). Combining emerging hotspots analysis with XGBoost for modeling pedestrian injuries in pedestrian-vehicle crashes: a case study of North Carolina. Journal of Transportation Safety & Security, 1-23.
  2. Liu, S.*, Li, Y.*, & Fan, W. D. (2021). Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime. International Journal of Transportation Science and Technology. (*contributed equally to this study)
  3. Song, L., Fan, W. D., & Li, Y. (2021). Time-of-day variations and the temporal instability of multi-vehicle crash injury severities under the influence of alcohol or drugs after the Great Recession. Analytic Methods in Accident Research, 32, 100183. [IF: 14.556, rank 2nd]
  4. Li, Y., & Fan, W. D. (2021). Bi-level optimization of long-term highway work zone scheduling considering elastic demand. Smart and Resilient Transport.
  5. Liu, S., Fan, W. D., & Li, Y. (2021). Injury severity analysis of rollover crashes for passenger cars and light trucks considering temporal stability: A random parameters logit approach with heterogeneity in mean and variance. Journal of safety research.
  6. Song, L.*, Li, Y.*, Fan, W., & Liu, P. (2021). Mixed logit approach to analyzing pedestrian injury severity in pedestrian-vehicle crashes in North Carolina: Considering time-of-day and day-of-week. Traffic injury prevention, 1-6. (*contributed equally to this study)
  7. Li, Y., Song L., & Fan, W. D. (2021). Day-of-week variations and the temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: a random parameters logit approach with heterogeneity in means and variances. Analytic Methods in Accident Research, 29, [IF: 14.556, rank 2nd]
  8. Li, Y., & Fan, W D. (2021). Optimizing Transit Equity and Accessibility of the City of Charlotte, North Carolina, by Integrating Transit Gap Index, a General Transit Feed Specification Data-Relevant Performance Metric. Journal of Transportation Engineering, Part A: Systems, 147(4).
  9. Song, L., Fan, W. D., Li, Y., & Wu, P. (2021). Exploring pedestrian injury severities at pedestrian-vehicle crash hotspots with an annual upward trend: A spatiotemporal analysis with latent class random parameter approach. Journal of safety research, 76, 184-196.
  10. Li, Y., & Fan, W. D. (2020). Modeling and evaluating public transit equity and accessibility by integrating general transit feed specification data: case study of the City of Charlotte. Journal of Transportation Engineering, Part A: Systems, 146(10). [Featured as Editor’s Choice]
  11. Song, L.*, Li, Y.*, Fan, W. D., & Wu, P. (2020). Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: insights from different hierarchical Bayesian random-effects models. Analytic Methods in Accident Research, 28, 100137. (*contributed equally to this study) [IF: 14.556, rank 2nd]
  12. Li, Y., & Fan, W. (2020). Mixed logit approach to modeling the severity of pedestrian-injury in pedestrian-vehicle crashes in North Carolina: Accounting for unobserved heterogeneity. Journal of Transportation Safety & Security, 1-22.
  13. Li, Y., & Fan, W. (2020). Modelling the severity of pedestrian injury in pedestrian-vehicle crashes in North Carolina: A partial proportional odds logit model approach. Journal of Transportation Safety & Security, 12(3), 358-379.
  14. Li, Y., & Fan, W. D. (2019). Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: a case study of North Carolina. Accident Analysis and Prevention, 131, 284–296.
  15. Li, Y., & Fan, W. (2019). Pedestrian injury severities in pedestrian-vehicle crashes and the partial proportional odds logit model: accounting for age difference. Transportation research record, 2673(5), 731-746.

Submitted Manuscripts

None

Manuscripts in Preparation

  1. Hossain, M. T., Li, Y., Qin, X. Modeling Distractive Driving Crashes at Urban Highway Intersection.
  2. Li, Y., Amer, M. W., Hossain, M. T., Qin, X. Modeling Over-Height Vehicle Collision with Bridge.
  3. Li, Y., & Qin, X. A Systematic Review of Machine Learning Methods for Traffic Crash Data Modeling and Analysis.

 

PRESENTATIONS

Oral Presentations

  1. Li, Y., Fan, W. D., Song, Li., & Liu, S. Combining Emerging Hotspots Analysis with XGBoost for Modeling Pedestrian Injuries in Pedestrian-Vehicle Crashes: A Case Study of North Carolina. Fifth Annual CAMMSE Research Symposium, The University of North Carolina Charlotte Center City, Charlotte, North Carolina, November 10, 2022.
  2. Li, Y., & Fan, W. D. Optimizing transit equity and accessibility by integrating transit gap index a relevant GTFS data performance metrics. the 2020 NCDOT Research & Innovation Summit, North Carolina, October 14, 2020.
  3. Li, Y., & Fan, W. D. Optimizing transit equity and accessibility by integrating relevant GTFS data performance metrics. The North Carolina Section of the Institute of Transportation Engineers (NCSITE) Annual Meeting, McKimmon Center, North Carolina State University, Raleigh, North Carolina, November 21, 2019.
  4. Li, Y., & Fan, W. D. Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity. The North Carolina Section of the Institute of Transportation Engineers (NCSITE) Annual Meeting, McKimmon Center, North Carolina State University, Raleigh, North Carolina, November 15, 2018.

Poster Presentations

  1. Li, Y., Al-Mahameed, F. J., Qin, X., & Schneider, R. J. (2022). New Insights on Vulnerable Road User Safety Analysis Through Crash Database Improvement, TRB 101st Annual Meeting, Washington, D.C.
  2. Li, Y., & Fan, W. D. Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity. Second Annual CAMMSE Research Symposium, The University of North Carolina Charlotte Center City, November 7, 2019, Charlotte, NC.
  3. Li, Y., & Fan, W. D. Optimizing transit equity and accessibility by integrating transit gap index a relevant GTFS data performance metrics. the 2019 NCDOT Research & Innovation Summit, North Carolina Agricultural and Technical State University (NCAT), Greensboro, North Carolina, October 14, 2019.
  4. Li, Y., & Fan, W. D. Pedestrian-injury severities in pedestrian-vehicle crashes and the partial proportional odds logit model: accounting for age difference. Transportation Research Board 98th Annual Meeting, January 14, 2019, Washington, DC.
  5. Li, Y., & Fan, W. D. Using General Transit Feed Specification (GTFS) Data as a Basis for Evaluating and Improving Public Transit Equity. The 19th COTA International Conference of Transportation Professionals (CICTP 2019), Nanjing, China, July 7, 2018.