Throughout the COVID-19 pandemic, people's online and in-store shopping behaviors
changed significantly. As the pandemic subsides, key questions are why those changes …

This research leverages a novel deep learning model, Inception-v3, to predict pedestrian
crash severity using data collected over five years (2016–2021) from Louisiana. The final …

Traditionally, in developing non-motorized crash prediction models, safety researchers have
employed land use and urban form variables as surrogate for exposure information (such as …

Pedestrian safety is a serious concern in the developing nations of the world. It is evident
from the past studies that built-environment characteristics near bus-stops, play a crucial role …

Many intersections belong to more than one zone, but most research has not considered the
effects of multiple zones in intersection crash analysis. This issue is known as a boundary …

Québec. Le projet vise à évaluer les défis de conception et les solutions pouvant être
applicables aux intersections avec des artères en milieu municipal, en plus d'évaluer leur …