Factors affecting motorcycle crash casualty severity at signalized and non-signalized intersections in Ghana: Insights from a data mining and binary logit regression …

R Tamakloe, S Das, EN Aidoo, D Park - Accident Analysis & Prevention, 2022 - Elsevier
Despite the countless benefits derived from motorcycle usage, it has become a significant
public health concern, particularly in developing countries, due to the plateauing number of …

The impact of weekday, weekend, and holiday crashes on motorcyclist injury severities: Accounting for temporal influence with unobserved effect and insights from out …

C Se, T Champahom, S Jomnonkwao… - Analytic methods in …, 2022 - Elsevier
This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …

Identifying the heterogeneous effects of road characteristics on motorcycle-involved crash severities

S Wang, J Yu, J Ma - Travel behaviour and society, 2023 - Elsevier
This study identifies the heterogeneous effects of road characteristics on motorcycle-
involved crash severities by using the data of 11,611 crashes in London from 2017 to 2020 …

Motorcyclist injury severity analysis: A comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances

C Se, T Champahom, S Jomnonkwao… - … journal of injury …, 2022 - Taylor & Francis
In Thailand, the motorcyclist mortality rate is steadily on the rise and remains a serious
concern for highway administrators and burden on both economic and local people. Using …

[HTML][HTML] Modelling crash severity outcomes for low speed urban roads using back propagation–Artificial neural network (BP–ANN)–A case study in Indian context

S Barman, R Bandyopadhyaya - IATSS research, 2023 - Elsevier
This work analyses influence of road, weather and crash-specific factors on crash severity
outcomes for low-speed urban midblock sections and intersections, for day and night time …

Phase-wise injury integrated severity modeling of road accidents: a two-stage hybrid multi-criteria decision-making model

P Trivedi, J Shah, D Esztergár-Kiss, S Duleba - Evolving Systems, 2024 - Springer
The road accident severity analysis of any geographic area is usually based on the total
number of accidents, while the significance of minor and grievous injuries is often ignored …

Understanding patterns of factor influences in motorcycle crashes with fixed objects

S Das, R Dzinyela, J Liu, B Dadashova… - … Safety & Security, 2024 - Taylor & Francis
Previous research has demonstrated that crashes involving motorcycles and fixed objects
often result in severe injuries. However, there is a scarcity of stand-alone studies examining …

Investigating the risk factors of motorcycle crash injury severity in Pakistan: Insights and policy recommendations

U Mansoor, A Jamal, J Su, NN Sze, A Chen - Transport policy, 2023 - Elsevier
A large number of fatalities and severe injuries are caused by motorcycle crashes
worldwide, particularly in developing countries. More than 50% of crashes in Pakistan …

Bivariate-logit-based severity analysis for Motorcycle crashes in Texas, 2017–2021

K Billah, HO Sharif, S Dessouky - Sustainability, 2023 - mdpi.com
Due to the number of severe traffic collisions involving motorcycles, a comprehensive
investigation is required to determine their causes. This study analyzed Texas crash data …

Investigating the risk factors associated with injury severity in pedestrian crashes in Santiago, Chile

A Rampinelli, JF Calderón, CA Blazquez… - International journal of …, 2022 - mdpi.com
Pedestrians are vulnerable road users that are directly exposed to road traffic crashes with
high odds of resulting in serious injuries and fatalities. Therefore, there is a critical need to …