Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges

M Haghani, A Behnood, V Dixit, O Oviedo-Trespalacios - Safety science, 2022 - Elsevier
Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …

Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia

M Nasri, K Aghabayk, A Esmaili, N Shiwakoti - Journal of safety research, 2022 - Elsevier
Introduction: The safety of pedestrians is a major concern in Victoria, Australia. Despite the
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …

Pedestrian road traffic accidents in metropolitan areas: GIS-based prediction modelling of cases in Mashhad, Iran

A Mohammadi, B Kiani, H Mahmoudzadeh… - Sustainability, 2023 - mdpi.com
This study utilised multi-year data from 5354 incidents to predict pedestrian–road traffic
accidents (PTAs) based on twelve socioeconomic and built-environment factors. The …

Factors affecting crash severity among elderly drivers: a multilevel ordinal logistic regression approach

M Alrumaidhi, HA Rakha - Sustainability, 2022 - mdpi.com
This study modeled the crash severity of elderly drivers using data from the state of Virginia,
United States, for the period of 2014 through to 2021. The impact of several exogenous …

Predicting and explaining severity of road accident using artificial intelligence techniques, SHAP and feature analysis

C Panda, AK Mishra, AK Dash… - International journal of …, 2023 - Taylor & Francis
The accurate prediction of accident severity has become an active area of research in recent
years, although studies in certain regions such as South Asia and Sub-Saharan Africa are …

Identification of determinant factors for crash severity levels occurred in Addis Ababa City, Ethiopia, from 2017 to 2020: using ordinal logistic regression model …

T Bekelcho, AB Olani, A Woldemeskel, M Alemayehu… - BMC public health, 2023 - Springer
Abstract Background Road traffic Injuries (RTI) are multifaceted occurrences determined by
the combination of multiple factors. Also, severity levels of injuries from road traffic accidents …

Methods of strategic road safety management: a systematic review

B Jiao, H Evdorides - International journal of injury control and …, 2024 - Taylor & Francis
A well-developed road network plays a crucial role in fostering social and economic
progress within a region. However, road crashes resulting in massive injuries and deaths …

Spatial association between urban neighbourhood characteristics‎‎ and‎‎‎ child pedestrian–motor vehicle collision‎ s

E Soroori, B Kiani, S Ghasemi, A Mohammadi… - Applied spatial analysis …, 2023 - Springer
This study examined the relationship between environmental and socioeconomic factors
and the number of motor vehicle collisions involving young pedestrians. The research …

Road safety as a public health problem: Case of ecuador in the period 2000–2019

FE Espinoza-Molina, CF Ojeda-Romero… - Sustainability, 2021 - mdpi.com
Background: Road safety is a significant public health problem because it causes negative
consequences on victims and families. The objective was to analyze the most significant …

Investigating older driver crashes on high-speed roadway segments: a hybrid approach with extreme gradient boosting and random parameter model

A Hossain, X Sun, S Das, M Jafari… - … A: Transport Science, 2024 - Taylor & Francis
Older drivers are often more susceptible to crashes due to age-related physical and
cognitive limitations, particularly in complex driving environments. Considering the limited …