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Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
How heterogeneity has been examined in transportation safety analysis: A review of latent class modeling applications
SH Kim - Analytic methods in accident research, 2023 - Elsevier
This study explores how heterogeneity has been examined in transportation safety
analyses, specifically focusing on latent class modeling, which has gained popularity and …
analyses, specifically focusing on latent class modeling, which has gained popularity and …
Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
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 …
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
A multinomial logit model of motorcycle crash severity at Australian intersections
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 …
travel as compared to other vehicle drivers. Moreover, crashes that take place at …
Investigating driver injury severity patterns in rollover crashes using support vector machine models
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is
important to investigate the factors that affect rollover crashes and their influence on driver …
important to investigate the factors that affect rollover crashes and their influence on driver …
Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning …
Chain reaction crashes (CRC) begin with a two-vehicle collision and rapidly intensify as
more vehicles get directly involved. CRCs result in more extensive damage compared to two …
more vehicles get directly involved. CRCs result in more extensive damage compared to two …
[HTML][HTML] Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers
The number of expressway road accidents in Sri Lanka has significantly increased (by 20%)
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
Investigating the injury severity of single-vehicle truck crashes in a develo** country
Trucking plays a vital role in economic development in every country, especially countries
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …
where it serves as the backbone of the economy. The fast growth of economy in Iran as a …
Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances
There is a great necessity to understand the endogenous and exogenous mechanism of
how male and female driver characteristics determine the crash severity. Consequently, this …
how male and female driver characteristics determine the crash severity. Consequently, this …
[HTML][HTML] Road characteristics and environment factors associated with motorcycle fatal crashes in Malaysia
This study aims to determine risk factors contributing to traffic crashes in 9,176 fatal cases
involving motorcycle in Malaysia between 2010 and 2012. For this purpose, both …
involving motorcycle in Malaysia between 2010 and 2012. For this purpose, both …