Transport systems play a significant role in socio-economic development and influence a
city's human health (HH) status mediated through multiple pathways. It fosters the growth …

Cycling provides numerous benefits to individuals and to society but the burden of road
traffic injuries and fatalities is disproportionately sustained by cyclists. Without awareness of …

Traffic accidents on urban roads are a major cause of death despite the development of
traffic safety measures. However, the prediction of casualties in urban road traffic accidents …

This study aims to explore potential factors that affect non-motor vehicles (NMV) riders' injury
severity in accidents with motor vehicles (MV). Factors including human characteristics …

This paper presents an error components mixed logit with heterogeneity in means and
variance to capture the heterogeneous effects of contributing factors on fixed object …

When traffic collisions occur on urban expressways, the consequences, including injuries,
the loss of lives, and damage to properties, are more serious. However, the existing …

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 …

Among several approaches to analyzing crash research, the use of machine learning and
econometric analysis has found potential in the analysis. This study aims to empirically …

This study carried out a simulator test to determine and predict the duration of reduced driver
performance during the automated driving takeover process. Vehicle trajectory and driver …

The freeway's operation safety has attracted wide attention. In order to mitigate the losses
brought on by traffic accidents on freeways, discrete choice models were constructed based …