Department

College of Transportation, Tongji University

Working Office

No. 250, Tongxin Building, Jiading Campus, Tongji University, Shanghai, China

E-mail

a.moeinaddini@gmail.com

2510277@tongji.edu.cn

Position

Research Associate

Education

PhD in Transportation Engineering, Amirkabir University of Technology

MSc in Transportation Engineering, Sharif University of Technology

BSc in Civil Engineering, Shahid Bahonar University of Kerman

Research

Interests

TDM, Traffic Safety, Complex Likelihood-based Econometric models, Application of LLM in

Transportation,Bayesian Modeling

Selected Publications

Ø Moeinaddini, A., Zhang, T., Wu, S., He, Z., & Zou, Y. (2026). Modeling lane-level travel time

reliability with uncertainty quantification.TransportationLetters, 1-21.

Ø Moeinaddini, A., Habibian, M., Zou, Y., Zhang, T., & Li, L. (2026). Assessing acceptability of

push-pull TDM policy packages: Integrating objective andsubjective 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 parameterslogit 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 andlatent variable approach based on thetheo-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: Accountingfor 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 andcrash 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)

ØMohammadi, A., Kermanshah, M., &Moeinaddini, A.(2021). Investigation of safety attitude on passenger vehicle type choice: An integrated choice andlatent variable (ICLV) approach.IATSSResea-rch,45(3), 336-346.(Q2)