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Dong, Y., Sun, Y., Wang, D., Waygood, O., Naseri, H., & Jiang, Y. (décembre 2023). How daily mobility and public transport use affect travel satisfaction : evidence from Hangzhou, China [Communication écrite]. 27th International Conference of Hong Kong Society for Transportation Studies: Transport and Equity (HKSTS 2023), Hong Kong. Non disponible
Ghavami, S., Alipour, Z., Naseri, H., Jahanbakhsh, H., & Karimi, M. M. (2023). A New Ensemble Prediction Method for Reclaimed Asphalt Pavement (RAP) Mixtures Containing Different Constituents. Buildings, 13(7), 30 pages. Disponible
Naseri, H. (2023). Optimizing Machine Learning Techniques to Better Understand Sustainability in Transportation Planning [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Naseri, H., Shokoohi, M., Jahanbakhsh, H., Karimi, M. M., & Waygood, O. (2023). Novel Soft-Computing Approach to Better Predict Flexible Pavement Roughness. Transportation Research Record, 2677(10), 246-259. Lien externe
Naseri, H., Waygood, O., Wang, B., & Patterson, Z. (2023). Interpretable Machine Learning Approach to Predicting Electric Vehicle Buying Decisions. Transportation Research Record, 14 pages. Lien externe
Sun, Y., Dong, Y., Wang, D., Waygood, O., Naseri, H., & Nishii, K. (2023). Correlation between travel experiences and post-COVID outbound tourism intention: a case study from China. Journal of Zhejiang University-SCIENCE A, 14 pages. Lien externe
Wang, B., Waygood, O., Ji, X., Naseri, H., Loiselle, A. L., Daziano, R. A., Patterson, Z., & Feinberg, M. (2023). How to effectively communicate about greenhouse gas emissions with different populations. Environmental Science & Policy, 147, 29-43. Lien externe
