Shahram Heydari
Cited by
Cited by
Using a flexible multivariate latent class approach to model correlated outcomes: A joint analysis of pedestrian and cyclist injuries
S Heydari, L Fu, LF Miranda-Moreno, L Joseph
Analytic Methods in Accident Research 13, 16-27, 2017
Road safety in low-income countries: state of knowledge and future directions
S Heydari, A Hickford, R McIlroy, J Turner, AM Bachani
Sustainability 11 (22), 6249, 2019
Benchmarking regions using a heteroskedastic grouped random parameters model with heterogeneity in mean and variance: Applications to grade crossing safety analysis
S Heydari, L Fu, L Thakali, L Joseph
Analytical Methods in Accident Research 19, 33-48, 2018
Speed limit reduction in urban areas: A before–after study using Bayesian generalized mixed linear models
S Heydari, LF Miranda-Moreno, F Liping
Accident Analysis & Prevention 73, 252-261, 2014
Bayesian methodology to estimate and update safety performance functions under limited data conditions: A sensitivity analysis
S Heydari, LF Miranda-Moreno, D Lord, L Fu
Accident Analysis & Prevention 64, 41-51, 2014
Multilevel Dirichlet process mixture analysis of railway grade crossing crash data
S Heydari, L Fu, D Lord, BK Mallick
Analytic Methods in Accident Research 9, 27-43, 2016
Effect of the COVID-19 pandemic on bike-sharing demand and hire time: Evidence from Santander Cycles in London
S Heydari, G Konstantinoudis, AW Behsoodi
PloS one 16 (12), e0260969, 2021
Bayesian road safety analysis: Incorporation of past evidence and effect of hyper-prior choice
LF Miranda-Moreno, S Heydari, D Lord, L Fu
Journal of safety research 46, 31-40, 2013
An exploratory analysis of the trend in the demand for the London bike-sharing system: From London Olympics to Covid-19 pandemic
J Chibwe, S Heydari, AF Imani, A Scurtu
Sustainable Cities and Society 69, 102871, 2021
Estimating traffic contribution to particulate matter concentration in urban areas using a multilevel Bayesian meta-regression approach
S Heydari, M Tainio, J Woodcock, A de Nazelle
Environment international 141, 105800, 2020
Computational Bayesian statistics in transportation modeling: from road safety analysis to discrete choice
RA Daziano, L Miranda-Moreno, S Heydari
Transport reviews 33 (5), 570-592, 2013
Bayesian nonparametric modeling in transportation safety studies: Aplications in univariate and multivariate settings
S Heydari, L Fu, L Joseph, LF Miranda-Moreno
Analytic Methods in Accident Research 12, 18-34, 2016
On the causal effect of proximity to school on pedestrian safety at signalized intersections: A heterogeneous endogenous econometric model
S Heydari, L Miranda-Moreno, AJ Hickford
Analytic methods in accident research 26, 100115, 2020
A flexible discrete density random parameters model for count data: Embracing unobserved heterogeneity in highway safety analysis
S Heydari
Analytic Methods in Accident Research 20, 68-80, 2018
Does prior specification matter in hotspot identification and before–after road safety studies?
S Heydari, LF Miranda-Moreno, LE Amador
Transportation research record 2392 (1), 31-39, 2013
Developing safety performance functions for railway grade crossings: a case study of Canada
S Heydari, L Fu
ASME/IEEE Joint Rail Conference 56451, V001T06A017, 2015
School neighbourhood and compliance with WHO-recommended annual NO2 guideline: A case study of Greater London
N Shoari, S Heydari, M Blangiardo
Science of The Total Environment 803, 150038, 2022
Is speeding more likely during weekend night hours? Evidence from sensor-collected data in Montreal
S Heydari, L Miranda-Moreno, L Fu
Canadian Journal of Civil Engineering, 2020
Road safety in low-income countries: state of knowledge and future directions. Sustainability, 11 (22), 6249
S Heydari, A Hickford, R McIlroy, J Turner, AM Bachani
Identifying areas of high risk for collisions: A Canda-wide study of grade crossing safety
S Heydari, L Fu, L Thakali, L Joseph
2017 4th International Conference on Transportation Information and Safety …, 2017
The system can't perform the operation now. Try again later.
Articles 1–20