[HTML][HTML] Road safety in low-income countries: state of knowledge and future directions

S Heydari, A Hickford, R McIlroy, J Turner, AM Bachani - Sustainability, 2019 - mdpi.com
Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …

[HTML][HTML] 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, 2021 - journals.plos.org
The COVID-19 pandemic has been influencing travel behaviour in many urban areas
around the world since the beginning of 2020. As a consequence, bike-sharing schemes …

Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways

TU Saeed, T Hall, H Baroud, MJ Volovski - Analytic methods in accident …, 2019 - Elsevier
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

Personal and societal impacts of motorcycle ban policy on motorcyclists' home-to-work morning commute in China

Y Guo, J Wang, S Peeta, PC Anastasopoulos - Travel behaviour and …, 2020 - Elsevier
This study investigates the personal and societal impacts of motorcycle ban policy on the
home-to-work morning commute of motorcyclists using self-reported travel behavioral data …

Bayesian hierarchical modeling of traffic conflict extremes for crash estimation: a non-stationary peak over threshold approach

L Zheng, T Sayed - Analytic methods in accident research, 2019 - Elsevier
This study presents a Bayesian hierarchical model to estimate crashes from traffic conflict
extremes in a non-stationary context. The model combines a peak over threshold approach …

A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes …

KNS Behara, A Paz, O Arndt, D Baker - Accident Analysis & Prevention, 2021 - Elsevier
This study performed statistical analyses to identify likely crash contributing factors for Head-
on Fatal and Serious Injury (FSI) collisions involving heavy vehicles (HVs) on the …

Modeling unobserved heterogeneity for zonal crash frequencies: A Bayesian multivariate random-parameters model with mixture components for spatially correlated …

H Huang, F Chang, H Zhou, J Lee - Analytic methods in accident research, 2019 - Elsevier
This study applies mixture components in a multivariate random parameters spatial model
for zonal crash counts. Three different modeling formulations are employed to demonstrate …

The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms

BY Katanalp, E Eren - Accident Analysis & Prevention, 2020 - Elsevier
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was
revised with the C4. 5 decision tree (DT) algorithm, were applied to the classification of …

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 …, 2020 - Elsevier
Pedestrian safety in proximity to schools is a major concern of transportation authorities,
local governments, and residents. In fact, several countermeasures (eg, school-zone speed …

[HTML][HTML] Predicting downgrade crash frequency with the random-parameters negative binomial model: Insights into the impacts of geometric variables on downgrade …

M Moomen, M Rezapour, M Raja, K Ksaibati - IATSS research, 2020 - Elsevier
Road deaths, injuries and property damage place a huge burden on the economy of most
nations. Wyoming has a high crash rate on mountain passes. The crash rates observed in …