[HTML][HTML] Factors affecting severity of motorcycle accidents on Thailand's arterial roads: multiple correspondence analysis and ordered logistics regression approaches

T Champahom, P Wisutwattanasak… - IATSS research, 2022 - Elsevier
Thailand was classified as a middle-income country and ranked second highest in terms of
road traffic fatality rate in the world in 2015. By 2018, this ranking went up to ninth in world …

[HTML][HTML] Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity

V Astarita, SS Haghshenas, G Guido, A Vitale - Transportation Engineering, 2023 - Elsevier
With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …

Temporal instability of motorcycle crash fatalities on local roadways: A random parameters approach with heterogeneity in means and variances

T Champahom, C Se, S Jomnonkwao… - International journal of …, 2023 - mdpi.com
Motorcycle accidents can impede sustainable development due to the high fatality rate
associated with motorcycle riders, particularly in developing countries. Although there has …

Correlated random parameters model with heterogeneity in means for analysis of factors affecting the perceived value of road accidents and travel time

P Wisutwattanasak, S Jomnonkwao, C Se… - Accident Analysis & …, 2023 - Elsevier
Road safety funding and management have become important issues in improving the
quality of life of road users and there is evidence of a difference in driving behavior and the …

A Comparison of Contributing Factors between Young and Old Riders of Motorcycle Crash Severity on Local Roads

T Champahom, C Se, S Jomnonkwao, T Boonyoo… - Sustainability, 2023 - mdpi.com
This study aims to identify the factors that influence the severity of motorcycle crashes on
local roads, particularly given the high speeds often observed for motorcycles on these …

Analysis of the effects of highway geometric design features on the frequency of truck-involved rear-end crashes using the random effect zero-inflated negative …

T Champahom, C Se, S Jomnonkwao, R Kasemsri… - Safety, 2023 - mdpi.com
Statistical data indicate that trucks are more prone to rear-end crashes, making this an area
of concern. The objective of this study is to create a model that analyzes the factors …

Modeling road accident fatalities with underdispersion and zero-inflated counts

T Simmachan, N Wongsai, S Wongsai… - PLoS one, 2022 - journals.plos.org
In 2013, Thailand was ranked second in the world in road accident fatalities (RAFs), with
36.2 per 100,000 people. During the Songkran festival, which takes place during the …

Factors affecting bus accident severity in Thailand: A multinomial logit model

W Mahikul, O Aiyasuwan, P Thanartthanaboon… - PLoS one, 2022 - journals.plos.org
Bus accidents are a serious issue, with high rates of injury and fatality in Thailand. However,
no studies have been conducted on the factors affecting bus accident severity in Thailand. A …

Big Data Analytics with the Multivariate Adaptive Regression Splines to Analyze Key Factors Influencing Accident Severity in Industrial Zones of Thailand: A Study on …

M Seefong, P Wisutwattanasak, C Se… - Big Data and Cognitive …, 2023 - mdpi.com
Machine learning currently holds a vital position in predicting collision severity. Identifying
factors associated with heightened risks of injury and fatalities aids in enhancing road safety …

Comparative Evaluation of Crash Hotspot Identification Methods: Empirical Bayes vs. Potential for Safety Improvement Using Variants of Negative Binomial Models

MW Khattak, H De Backer, P De Winne, T Brijs… - Sustainability, 2024 - mdpi.com
The empirical Bayes (EB) method is widely acclaimed for crash hotspot identification (HSID),
which integrates crash prediction model estimates and observed crash frequency to …