
Name |
Amin Moeinaddini |
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Department |
College of Transportation, Tongji University |
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Working Office |
No. 250, Tongxin Building, Jiading Campus, Tongji University, Shanghai, China |
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a.moeinaddini@gmail.com |
Position |
Research Associate |
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Education |
PhD in Transportation Engineering, Amirkabir University of Technology MSc in Transportation Engineering, Sharif University of Technology |
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Research Interests |
TDM, Traffic Safety, Complex Likelihood-based Econometric models, Application of LLM in Transportation, Bayesian Modeling |
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Selected Publications |
Ø Moeinaddini, A., Zhang, T., Wu, S., He, Z., & Zou, Y. (2026). Modeling lane-level travel time reliability with uncertainty quantification. Transportation Letters, 1-21. Ø Moeinaddini, A., Habibian, M., Zou, Y., Zhang, T., & Li, L. (2026). Assessing acceptability of push-pull TDM policy packages: Integrating objective and subjective factors via hybrid choice modeli-ng. Transportation Research Part A: Policy and Practice, 204, 104808. (Q1) Ø Moeinaddini, A., & Habibian, M. (2026). Accounting for the uncertainty in an analysis of travel choice experiments using a hybrid choice model. Transport Policy, 103981. (Q1) Ø Nasab, E.J., Sheikholeslami, A., Vassallo, J.M., Moeinaddini, A. (2026) Modeling Farm Equip-ment Vehicle crash injury severity using random parameters logit and multi-class support vector mac-hine in a developing country. Scientific Report, 42267. (Q2) Ø Hajilari, A., Habibian, M., Moeinaddini, A., & Davoodi, S. R. (2025). Introduction of a bike-share system to a developing city, considering cost heterogene-ity: Does lane protection matter? Sustaina-ble Cities and Society, 106741. (Q1) Ø Moeinaddini, A., & Habibian, M. (2025). Exploring the role of objective and subjective factors on car commuters’ mode change: An integrated choice and latent variable approach based on the theo-ry of planned behavior. Transportation research part F: traffic psychology and behaviour, 109, 1470-1490. (Q1) Ø Moeinaddini, A., & Habibian, M. (2025). Investigating the role of attitude toward transit safety on the effectiveness of transportation demand management measures: A Tehran case study. Case Studies on Transport Policy, 101434. (Q3) Ø Nasab, E. J., Sheikholeslami, A., Vassallo, J. M., & Moeinaddini, A. (2025). Modeling injury severity in HAZMAT truck-involved crashes: Accounting for heterogeneity in a developing country. IATSS Research, 49(4), 593-602. (Q2) Ø Wu, S., Zou, Y., Liu, D., Chen, X., Wang, Y., & Moeinaddini, A. (2025). Investigating Traffic Characteristics at Freeway Merging Areas in Heterogeneous Mixed-Flow Environments. Sustainability, 17, 2282. (Q2) Ø Zhang, T., Lang, H., Chen, Y., Moeinaddini, A.*, & Zou, Y. (2025). Optimisation of Water‐Road Freight Transportation Routes for Reduced Fuel Consumpt-ion and Traffic Risk. IET Intelligent Trans-port Systems, 19, e70078. (Q3) Ø Zhang, T., Zou, Y., Wang, Y., Zhang, S., Zhang, Y., & Moeinaddini, A. (2025). A multi-objective route-searching strategy balancing fuel consumption and crash risks. Displays, 103088. (Q2) Ø Moeinaddini, A., & Habibian, M. (2024). Acceptability of transportation demand management policy packages considering interactions and socio-economic heterogeneity. Research in Transportation Economics, 103, 101374. (Q1) Ø Moeinaddini, A., & Habibian, M. (2023). Transportation demand management policy efficiency: An attempt to address the effectiveness and acceptability of policy packages. Transport Policy, 141, 317-330. (Q1) Ø Mohammadi, A., Kermanshah, M., & Moeinaddini, A. (2021). Investigation of safety attitude on passenger vehicle type choice: An integrated choice and latent variable (ICLV) approach. IATSS Resea-rch, 45(3), 336-346. (Q2)
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