Spatial and Temporal Analysis of Traffic Accidents in Algeria Using Principal Component Analysis (PCA)

Abstract

     This research paper aims to shed light on the reality of traffic accidents in Algeria by illustrating the spatial and temporal variations in accident levels across the country's provinces during the year 2023. The study employs statistical analysis of data comprising nine variables and 58 individual (representing the 58 stats provinces). After processing the data using the (SPSS), the research adopts multivariate statistical analysis, specifically Principal Component Analysis (PCA). The study revealed that there is a strong correlation between the characteristics of each state, such as area, population density, road length, vehicle fleet size, fuel sales volume, and traffic accident levels along with their physical consequences across the national provinces.