Contributing factors to near-miss experiences of motorcyclists in Thailand: A random parameter probit model approach

S Jomnonkwao, T Champahom, C Se, N Hantanong… - Heliyon, 2023 - cell.com
Road accidents cause a large number of deaths, especially in Thailand. When considered in
depth, motorcycles account for the highest percentage of fatalities. According to Heinrich's …

An analysis of motorcycle injury and vehicle damage severity using ordered probit models

MA Quddus, RB Noland, HC Chin - Journal of Safety research, 2002 - Elsevier
Problem: Motorcycles constitute about 19% of all motorized vehicles in Singapore and are
generally overrepresented in traffic accidents, accounting for 40% of total fatalities. Method …

Analyzing near-miss incidents and risky riding behavior in Thailand: a comparative study of urban and rural areas

S Jomnonkwao, N Hantanong, T Champahom, C Se… - Safety, 2023 - mdpi.com
Preventing near-miss incidents is considered a proactive measure, as it aims to prevent
events that have a risk of resulting in accidents. This is regarded as a vital component of …

Factors Affecting the severity of motorcycles accidents and casualties in Thailand by using probit and logit model

S Baral, K Kanitpong - Journal of the Eastern Asia Society for …, 2015 - jstage.jst.go.jp
This paper attempts to provide an additional insight into the factors that significantly
influence the motorcycle accident severity in Thailand by using ordered probit, binary orbit …

An investigation on multi-vehicle motorcycle crashes using log-linear models

MM Haque, HC Chin, AK Debnath - Safety science, 2012 - Elsevier
Motorcyclists are the most crash-prone road-user group in many Asian countries including
Singapore; however, factors influencing motorcycle crashes are still not well understood …

Exploring motorcyclist injury severity resulting from various crash configurations at T-junctions in the United Kingdom—An application of the ordered probit models

CW Pai, W Saleh - Traffic Injury Prevention, 2007 - Taylor & Francis
Objectives. The fact that motorcycle users tend to be more vulnerable to injuries than those
using other motorized vehicles may act synergistically with the complexity of conflicting …

A multinomial logit model of motorcycle crash severity at Australian intersections

MA Vajari, K Aghabayk, M Sadeghian… - Journal of safety …, 2020 - Elsevier
Introduction: Motorcyclists are exposed to more fatalities and severe injuries per mile of
travel as compared to other vehicle drivers. Moreover, crashes that take place at …

Modeling the injury severity of small-displacement motorcycle crashes in Hanoi City, Vietnam

DVM Nguyen, AT Vu, E Polders, V Ross, T Brijs… - Safety science, 2021 - Elsevier
Hanoi City is a typical motorcycle dominant city in Vietnam with a modal share of
motorcycles of more than 80% and motorcycle riders involved in more than 70% of road …

Empirical comparison of the effects of urban and rural crashes on motorcyclist injury severities: A correlated random parameters ordered probit approach with …

C Se, T Champahom, S Jomnonkwao… - Accident Analysis & …, 2021 - Elsevier
In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …

Near-miss crashes and other predictors of motorcycle crashes: Findings from a population-based survey

L de Rome, J Brown, M Baldock… - Traffic injury …, 2018 - Taylor & Francis
Objective: Crash and injury surveillance studies have identified a range of rider-related
factors, including age, sex, licensure, training and experience, as being associated with …