[HTML][HTML] Safety of motorised two wheelers in mixed traffic conditions: Literature review of risk factors

J Damani, P Vedagiri - Journal of traffic and transportation engineering …, 2021 - Elsevier
The ownership of motorised two wheelers (MTWs) has been on the rise across various
countries across the globe. The growth has been especially higher in developing countries …

Factors affecting motorcyclists' injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances

M Waseem, A Ahmed, TU Saeed - Accident Analysis & Prevention, 2019 - Elsevier
Motorcycles constitute 61% of the total registered vehicles in Pakistan and there has been a
371% growth in motorcycles in the country from year 2005-2015. Motorcycle is an essential …

A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

N Alnawmasi, F Mannering - Analytic methods in accident research, 2019 - Elsevier
This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …

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 …

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 …

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 …

Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: accommodating temporal shifts and unobserved heterogeneity

C Wang, M Ijaz, F Chen, Y Zhang, J Cheng… - Analytic methods in …, 2022 - Elsevier
With rapid growth in motorcycle use and relatively low helmet-wearing usage rates, injuries
and fatalities resulting from motorcycle crashes in Pakistan are a critical concern. To …

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 …

A latent class analysis of single-vehicle motorcycle crash severity outcomes

MS Shaheed, K Gkritza - Analytic Methods in Accident Research, 2014 - Elsevier
Unobserved heterogeneity has been recognized as a critical issue in traffic safety research
that has not been completely addressed or often overlooked, and can lead to biased …

A comparative study on machine learning based algorithms for prediction of motorcycle crash severity

L Wahab, H Jiang - PLoS one, 2019 - journals.plos.org
Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …