Peer reviewed publications

M. Lin, H. Patel, M. Lamkin, Y. Tu, H. Bako, and L. Battle. (2024). “How do Observerbla users decompose D3 code? An explorative study.“ IEEE Transaction on Visualization and Computer Graphics (major revision).

Y. Tu, M. Khaloei, N. Arefin Khan, and D. MacKenzie. (2024). “Effects of trip attributes on ridehailing driver trip request acceptance.“ International Journal of Sustainable Transportation (in print).

Y. Tu, P. Jabbari, N. Zuniga-Garcia, and D. MacKenzie. (2023). “Understanding working time and relocation choices of ridehailing drivers.“ Transportation (major revision).

M. Khaloei, Y. Tu, N. Arefin Khan, and D. MacKenzie.(2023).“Automating ridehailing services would reduce pooling, especially among women.” Transportation Research Part A: Policy and Practice (major revision).

Y. Tu, M. Khaloei, N. Arefin Khan, and D. MacKenzie. (2022). “Effects of trip-level characteristics on autonomous vehicle ownership: A U.S. analysis.“ Transportation Research Part D: Transport and Environment, 108, 103321.

L. Hu, J. Yang, T. Yang, Y. Tu, and J. Zhu. (2019). “Urban spatial structure and travel in China.“ Journal of Planning Literature, 885412219853259.

Y. Tu, P. Chen, X. Gao, J. Yang, and X. Chen. (2019). “How to make dockless bikeshare good for cities: Curbing oversupplied bikes.“ Transportation Research Record, 2673(6), 618-627.

Y. Tu, J. Zhou. (2016). “Self-adaptive generalization of classified patch: a case study on land use classification from remotely sensed imagery”. Remote Sensing Technology and Application, 31(5): 994-1002 (in Chinese).

Presentations & Posters

Y. Tu & Mayuree Binjolkar.“Enhancing electric vehicle charging demand prediction with graph neural networks” INFORMS Annual Meeting. Seattle, USA, October 2024 (upcoming).

Y. Tu.“Embark on a data visualization odyssey: unravel the power of D3” Seattle Interactive Conference. Seattle, USA, July 2024.

Y. Tu.“Leverage deep learning in electric vehicle charging demand prediction” Women in Data Science Puget Sound Conference. Seattle, USA, May 2024.

Y. Tu. “Guest lecture: The power of data visualization“ University of Washington: HCID 510 Design interactive systems. Seattle, USA, May 2024.

Tu, Y., Khaloei, M., Arefin Khan, N., MacKenzie, D. (2023). “What makes ridehailing drivers reject trips?” Transportation Research Board 102nd Annual meeting. Washington D.C., USA, January 2023.

Tu, Y., Jabbari, P., MacKenzie, D., & Auld, J. (2022). “Prospective effects of trip-level characteristics on autonomous vehicle ownership choices in the US.” Transportation Research Board 101st Annual meeting. Washington D.C., USA, January 2022.

Tu, Y., Yang, J. “The rise of dockless shared bikes in China: what can we learn from Shenzhen’s experience?” 2019 Annual Meeting of the Association of American Geographers (AAG). Washington D.C., USA, April 2019.