Mahdi Rezapour
- (2024): Editorial: Data science methods for solving real-world problems in transportation, security and beyond. In: Frontiers in Built Environment, v. 10 (Februar 2024).
- (2022): Random regret minimization for analyzing driver actions, accounting for preference heterogeneity. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2022): Hybrid random utility-random regret model in the presence of preference heterogeneity, modeling drivers’ actions. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2019): An investigation of influential factors of downgrade truck crashes: A logistic regression approach. In: Journal of Traffic and Transportation Engineering (English Edition), v. 6, n. 2 (April 2019).
- (2020): Predicting injury severity and crash frequency: Insights into the impacts of geometric variables on downgrade crashes in Wyoming. In: Journal of Traffic and Transportation Engineering (English Edition), v. 7, n. 3 (Juni 2020).
- (2020): Investigating the relationship between crash severity, traffic barrier type, and vehicle type in crashes involving traffic barrier. In: Journal of Traffic and Transportation Engineering (English Edition), v. 7, n. 1 (Februar 2020).
- (2020): Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models. In: International Journal of Transportation Science and Technology, v. 9, n. 2 (Juni 2020).
- (2019): Modeling traffic barriers crash severity by considering the effect of traffic barrier dimensions. In: Journal of Modern Transportation, v. 27, n. 2 (April 2019).
- (2018): Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data. In: Journal of Modern Transportation, v. 26, n. 4 (November 2018).
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