Amir Pooyan Afghari
Cited by
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A hierarchical Bayesian multivariate ordered model of distracted drivers’ decision to initiate risk-compensating behaviour
O Oviedo-Trespalacios, AP Afghari, MM Haque
Analytic methods in accident research 26, 100121, 2020
Applying a random parameters Negative Binomial Lindley model to examine multi-vehicle crashes along rural mountainous highways in Malaysia
R Rusli, MM Haque, AP Afghari, M King
Accident Analysis & Prevention 119, 80-90, 2018
Public preferences towards bicycle sharing system in developing countries: The case of Mashhad, Iran
L Abolhassani, AP Afghari, HM Borzadaran
Sustainable cities and society 44, 763-773, 2019
A comprehensive joint econometric model of motor vehicle crashes arising from multiple sources of risk
AP Afghari, S Washington, MM Haque, Z Li
Analytic methods in accident research 18, 1-14, 2018
Bayesian latent class safety performance function for identifying motor vehicle crash black spots
AP Afghari, MM Haque, S Washington, T Smyth
Transportation research record 2601 (1), 90-98, 2016
Contrasting case-wise deletion with multiple imputation and latent variable approaches to dealing with missing observations in count regression models
AP Afghari, S Washington, C Prato, MM Haque
Analytic methods in accident research 24, 100104, 2019
Applying fractional split model to examine the effects of roadway geometric and traffic characteristics on speeding behavior
AP Afghari, MM Haque, S Washington
Traffic injury prevention 19 (8), 860-866, 2018
Effects of globally obtained informative priors on Bayesian safety performance functions developed for Australian crash data
AP Afghari, MM Haque, S Washington, T Smyth
Accident Analysis & Prevention 129, 55-65, 2019
Safe mobility: Challenges, methodology and solutions
D Lord, S Washington
Emerald Publishing, 2018
Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes
AP Afghari, MM Haque, S Washington
Accident Analysis & Prevention 144, 105615, 2020
Incorporating behavioral variables into crash count prediction by severity: A multivariate multiple risk source approach
MRR Shaon, X Qin, AP Afghari, S Washington, MM Haque
Accident Analysis & Prevention 129, 277-288, 2019
A home-based approach to understanding seatbelt use in single-occupant vehicles in Tennessee: Application of a latent class binary logit model
AP Afghari, AM Hezaveh, MM Haque, C Cherry
Accident Analysis & Prevention 146, 105743, 2020
Getting in the path of the robot: Pedestrians acceptance of crossing roads near fully automated vehicles
SA Kaye, X Li, O Oviedo-Trespalacios, AP Afghari
Travel Behaviour and Society 26, 1-8, 2022
A comprehensive statistical investigation framework for characteristics and causes analysis of ship accidents: A case study in the fluctuating backwater area of Three Gorges …
J Xue, E Papadimitriou, G Reniers, C Wu, D Jiang, P van Gelder
Ocean Engineering 229, 108981, 2021
Detecting high-risk accident locations
S Washington, AP Afghari, M Haque
Safe Mobility: Challenges, Methodology and Solutions (Transport and …, 2018
Pedestrian-cyclist interactions at bus stops along segregated bike paths: a case study of Montreal
AP Afghari, K Ismail, N Saunier, A Sharma, L Miranda-Moreno
Non-monetised multi-objective decision making system for road management
LE Amador-Jimenez, AP Afghari
International Journal of Pavement Engineering 14 (7), 686-696, 2013
How much should a pedestrian be fined for intentionally blocking a fully automated vehicle? A random parameters beta hurdle model with heterogeneity in the variance of the beta …
AP Afghari, E Papadimitriou, X Li, SA Kaye, O Oviedo-Trespalacios
Analytic methods in accident research 32, 100186, 2021
Pavement management: Capturing surface treatment effectiveness
L Amador-Jiménez, AP Afghari
2015 International Conference on Transportation Information and Safety …, 2015
Incorporation of road safety into road management systems
AP Afghari
Concordia University, 2012
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