Mahdi Aghaabbasi

Mahdi Aghaabbasi is a dedicated transportation planning researcher with a specialization in travel behavior, transport policy, digital twin, and active transportation. He is particularly adept at applying machine learning techniques to address complex transportation challenges. Mahdi is enthusiastic about advancing the field's understanding and enhancing his university's reputation through the publication of high-quality research papers. His proficiency in artificial intelligence is complemented by advanced skills in Python, SPSS Modeler, and RapidMiner, underscored by a comprehensive understanding of robust research methodologies.

• Aghaabbasi, M., & Chalermpong, S. (2023). Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review. Travel Behaviour and Society, 33, 100640.
• Aghaabbasi, M., & Chalermpong, S. (2023). A meta-analytic review of the association between the built environment and integrated usage of rail transport and bike-sharing. Transportation Research Interdisciplinary Perspectives, 21, 100860.
• Aghaabbasi, M., Ali, M., Jasiński, M., Leonowicz, Z., & Novak, T. (2023). On hyperparameter optimization of machine learning methods using a Bayesian optimization algorithm to predict work travel mode choice. IEEE Access.11, 19762 – 19774.
• Moosavi, S. M. H., Ma, Z., Armaghani, D. J., Aghaabbasi, M., Ganggayah, M. D., Wah, Y. C., & Ulrikh, D. V. (2022). Understanding and Predicting the Usage of Shared Electric Scooter Services on University Campuses. Applied Sciences, 12(18), 9392.
• Xu, Z.; Aghaabbasi, M.; Ali, M.; Macioszek, E. (2022). Targeting Sustainable Transportation Development: The Support Vector Machine and the Bayesian Optimization Algorithm for Classifying Household Vehicle Ownership. Sustainability, 14(17), 11094.
• Yang, L., Aghaabbasi, M., Ali, M., Jan, A., Bouallegue, B., Faisal Javed, M., M. Salem, N. (2022). Comparative analysis of the optimised KNN, SVM, and ensemble DT models using Bayesian Optimization for predicting pedestrian fatalities: an advance towards the sustainable safety of pedestrians. Sustainability, 14(17).
• Zhu, L., Ali, M., Macioszek, E., Aghaabbasi, M., & Jan, A. (2022). Approaching sustainable bike-sharing development: a systematic review of the influence of built environment features on bike-sharing ridership. Sustainability, 14(10), 5795.
• Tang, P., Aghaabbasi, M., Ali, M., Jan, A., Mohamed, A. M., & Mohamed, A. (2022). How Sustainable Is People’s Travel to Reach Public Transit Stations to Go to Work? A Machine Learning Approach to Reveal Complex Relationships. Sustainability, 14(7), 3989.
• Ma, T., Aghaabbasi, M., Ali, M., Zainol, R., Jan, A., Mohamed, A. M., & Mohamed, A. (2022). Nonlinear Relationships between Vehicle Ownership and Household Travel Characteristics and Built Environment Attributes in the US Using the XGBT Algorithm. Sustainability, 14(6), 3395.
• Tao, W., Aghaabbasi, M., Ali, M., Almaliki, A. H., Zainol, R., Almaliki, A. A., & Hussein, E. E. (2022). An Advanced Machine Learning Approach to Predicting Pedestrian Fatality Caused by Road Crashes: A Step toward Sustainable Pedestrian Safety. Sustainability, 14(4), 2436.
• Chen Y, Aghaabbasi M, Ali M, Anciferov S, Sabitov L, Chebotarev S, Nabiullina K, Sychev E, Fediuk R, Zainol R. (2022). Hybrid Bayesian Network Models to Investigate the Impact of Built Environment Experience before Adulthood on Students’ Tolerable Travel Time to Campus: Towards Sustainable Commute Behavior: Sustainability, 14(1):325.
• Qian, Y., Aghaabbasi, M., Ali, M., Salah, B., Zainol, R., Moeinaddini, M. (2021). Classification of imbalanced travel mode choice to work data using adjustable SVM model: Applied Science, 11(24), 11916.
• Aghaabbasi, M., Zaly Shah, M., & Zainol, R. (2021). Investigating the Use of Active Transportation Modes Among University Employees Through an Advanced Decision Tree Algorithm. Civil and Sustainable Urban Engineering, 1(1), 26–49.
• Tabatabaee, S., Aghaabbasi, M., Mahdiyar, A., Zainol, R., & Ismail, S. (2021). Measurement Quality Appraisal Instrument for Evaluation of Walkability Assessment Tools Based on Walking Needs: Sustainability, 13(20), 11342.
• Aghaabbasi, M., Moeinaddini, M., Zaly Shah, M., Asadi Shekari, Z. (2020). Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques: Transportation Research Part A. 136: 262-281.
• Moeinaddini, M., Asadi-Shekari, Z., Aghaabbasi, M., Saadi, I., Zaly Shah, M., Cools, M., (2020). Applying Non-Parametric Models to Explore Urban Life Satisfaction in European: Cities. 105(October 2020): 102851
• Moeinaddini, M., Asadi-Shekari, Z., Aghaabbasi, M., Saadi, I., Zaly Shah, M., Cools, M., (2020). Proposing a new score to measure personal happiness by identifying the contributing factors: Measurement. 151(February 2020): 107115
• Asadi-Shekari, Z., Moeinaddini, M., Aghaabbasi, M., Cools, M., Zaly Shah, M., (2019). Exploring Effective Micro-Level Items for Evaluating Inclusive Walking Facilities on Urban Streets (Applied in Johor Bahru, Malaysia): Sustainable Cities and Society. 49(1):101563
• Aghaabbasi, M., Moeinaddini, M., Asadi Shekari, Z., Zaly Shah, M. (2018). Addressing issues in the use of google tools for assessing pedestrian built environments: Journal of Transport Geography. 73(1): 185-198.
• Aghaabbasi, M., Moeinaddini, M., Asadi Shekari, Muhammad Zaly Shah, (2018). Equitable use in sidewalk design: Cities. 88(1): 181-190.
• Aghaabbasi, M., Moeinaddini, M., Asadi Shekari, Z., Zaly Shah, M., Mehdi Arjomand Kermani (2017). Evaluating the capability of walkability assessment tool for assessing the sidewalks: Sustainable Cities and Society. 37(1): 475-484.
• Aghaabbasi, M., Zaly Shah, M., Moeinaddini, M., Asadi Shekari, Z. (2016). A new assessment model to evaluate the micro-scale sidewalk design factors at the neighbourhood level: Journal of Transport and Health. 5(1): 97-112.
• Zaly Shah, M., Moeinaddini, M., Aghaabbasi, M. (2021). Pedestrian Safety, General in International Encyclopedia of Transportation.
• Aghaabbasi, M. and Zaly Shah, M. (2016). The role of Transport in Humanitarian Logistics: Challenges and Practices.

Investigating the impacts of work mode preferences on Chulalongkorn University employees’ travel behaviors

Best reviewer award at the 15th International Conference of the Eastern Asia Society for Transportation Studies (EASTS) in Shah Alam, Malaysia

 2 Master’s Thesis: Sulaimani Polytechnic University, Kurdistan, Iraq

• Urban Transport Planning and Traffic Safety, Master of Engineering in Traffic Safety, University of Malaya, Erasmus program
• Traffic Safety and Human Behaviour, Master of Engineering in Traffic Safety, University of Malaya, Erasmus program