سیدکیوان آقابیک ایگلی

1. Autonomous delivery vehicle acceptance: The moderating role of perceived risk of theft

Esmaili Arsalan، Rejali Sina، Aghabayk Eagely Seyed Kayvan، Mohammadi Amin، De Gruyter Chris (2025)., Transport Policy, 162(-), 406-423.

2. How does distraction affect cyclists’ severe crashes? A hybrid CatBoost-SHAP and random parameters binary logit approach

Agheli Ali، Aghabayk Eagely Seyed Kayvan (2025)., ACCIDENT ANALYSIS AND PREVENTION, 211(-), 107896.

3. Examining psychological factors associated with pedestrians’ technology use while walking and risky street-crossing behavior: Incorporating heterogeneity effect

Karami Zeinab، Aghabayk Eagely Seyed Kayvan، Mohammadi Amin، Rejali Sina (2025)., TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 109(-), 770-791.

4. A mixed methods approach to investigate factors influencing young drivers’ intention to drink and drive: A case study from an alcohol-prohibited country

Rejali Sina، Aghabayk Eagely Seyed Kayvan (2025)., TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 108(-), 152-167.

5. Assessing public a priori acceptance of fully automated vehicles using an extended technology acceptance model and importance-performance analysis

Rejali Sina، Aghabayk Eagely Seyed Kayvan، Shiwakoti Nirajan (2024)., IATSS Research, 48(4), 537-549.

6. Investigating the driving skills-attitudes nexus for safer roads

Bayat Mahsa، Aghabayk Eagely Seyed Kayvan، Shiwakoti Nirajan (2024)., IATSS Research, 48(4), 496-505.

7. Exploring the Factors Influencing the Safety of Young Novice Drivers: A Qualitative Approach Based on Grounded Theory

Mohammadi Amin، Aghabayk Eagely Seyed Kayvan، Zabihzadeh Abbas (2024)., sustainability, 16(22), 9711.

8. An evaluation of pedestrian crash risk factors at urban intersections in a developing country: Comparing the classification accuracy of methods accounting for unobserved heterogeneity

Esmailpour Javad، Aghabayk Eagely Seyed Kayvan، Esmaili Arsalan (2024)., Transportation Research Interdisciplinary Perspectives, 28(-), 101275.

9. Investigating pedestrians’ red light running intentions at urban intersections in different traffic Environments: A scenario-based analysis guided by theoretical frameworks

Karami Zeinab، Rejali Sina، Aghabayk Eagely Seyed Kayvan (2024)., TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 107(-), 196-223.

10. A hybrid Machine learning and statistical modeling approach for analyzing the crash severity of mobility scooter users considering temporal instability

Sadeghi Matin، Aghabayk Eagely Seyed Kayvan، Quddus Mohammed (2024)., ACCIDENT ANALYSIS AND PREVENTION, 206(-), 107696.

11. Integrating perceived safety and socio-demographic factors in UTAUT model to explore Australians' intention to use fully automated vehicles

Chen Yilun، Khan Shah Khalid، Shiwakoti Nirajan، Stasinopoulos Peter، Aghabayk Eagely Seyed Kayvan (2024)., Research in Transportation Business and Management, 56(-), 101147.

12. Assessing distracted driving crash severities at New York City urban roads: A temporal analysis using random parameters logit model

Rejali Sina، Aghabayk Eagely Seyed Kayvan، Seyfi MohammadAli، Oviedo-Trespalacios Oscar (2024)., IATSS Research, 48(2), 147-157.

13. Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering

Samerei Seyed Alireza، Aghabayk Eagely Seyed Kayvan (2024)., ACCIDENT ANALYSIS AND PREVENTION, 202(107603), 107603.

14. Exploring interacting effects of risk factors on run-off-road crash severity: An interpretable machine learning model joint with latent class clustering

Samerei Seyed Alireza، Aghabayk Eagely Seyed Kayvan (2024)., IATSS Research, 48(2), 261-274.

15. Interpretable machine learning for evaluating risk factors of freeway crash severity

Samerei Seyed Alireza، Aghabayk Eagely Seyed Kayvan (2024)., International Journal of Injury Control and Safety Promotion, 31(3), 534-550.

1. Measuring the Effect of Built Environment on Students’ School Trip Method Using Neighborhood Environment Walkability Scale

Esmaeli Saeed، Aghabayk Eagely Seyed Kayvan، Shiwakoti Nirajan (2024)., sustainability, 16(5), 1937.

2. Analyzing Pile-Up Crash Severity: Insights from Real-Time Traffic and Environmental Factors Using Ensemble Machine Learning and Shapley Additive Explanations Method

Samerei Seyed Alireza، Aghabayk Eagely Seyed Kayvan، Montella Alfonso (2024)., Safety, 10(1), 22.

3. Evaluating public a priori acceptance of autonomous modular transit using an extended unified theory of acceptance and use of technology model

Rejali Sina، Aghabayk Eagely Seyed Kayvan، Mohammadi Amin، Shiwakoti Nirajan (2024)., Journal of Public Transportation, 26(1), 100081.

4. Exploring the association between socio‐demographic factors and public acceptance towards fully automated vehicles: Insights from a survey in Australia

Chen Yilun، Shiwakoti Nirajan، Stasinopoulos Peter، Khan Shah Khalid، Aghabayk Eagely Seyed Kayvan (2024)., IET Intelligent Transport Systems, 18(1), 154-172.

5. Factors Associated with Driver Distraction: Influence of Risk Taking, Risk Perception, and Crash History

Mehditabrizi Asal، Aghabayk Eagely Seyed Kayvan، Samerei Seyed Alireza، Saleh Namadi Saeed، Stephens Amanda (2024)., Transportation Research Board 103rd Annual Meeting, 7-11 January, Washington, D.C., United States Of America (USA).

6. Analysis of Australian public acceptance of fully automated vehicles by extending technology acceptance model

Chen Yilun، Khan Shah Khalid، Shiwakoti Nirajan، Stasinopoulos Peter، Aghabayk Eagely Seyed Kayvan (2023)., Case Studies on Transport Policy, 14(1), 101072.

7. Comparative analysis of pedestrian crash severity at United Kingdom rural road intersections and Non-Intersections using latent class clustering and ordered probit model

Salehian Alireza، Aghabayk Eagely Seyed Kayvan، Seyfi MohammadAli، Shiwakoti Nirajan (2023)., ACCIDENT ANALYSIS AND PREVENTION, 192(1), 107231.

8. Validation of Modified Driver Behavior Questionnaire Considering Mobile Phone Usage While Driving

Parishad Nasser، Aghabayk Eagely Seyed Kayvan، Bayat Mahsa، Shiwakoti Nirajan (2023)., Civil Engineering Infrastructures Journal-CEIJ, 56(1), 19-32.

9. Modeling the Motorcycle Crash Severity on Nonintersection Urban Roadways in the Australian State of Victoria Using a Random Parameters Logit Model

Seyfi Mohammad Ali، Aghabayk Eagely Seyed Kayvan، Karimi Mamaghan Amir Mohammad، Shiwakoti Nirajan (2023)., JOURNAL OF ADVANCED TRANSPORTATION, 2023(1), 1-12.

1. Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles

Rejali Sina، Aghabayk Eagely Seyed Kayvan، Esmaeli Saeed، Shiwakoti Nirajan (2023)., TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 168(1), 103565.