Spatial Analysis of Driving Under the Influence Origins in Seoul Using Geographically Weighted Machine Learning
Driving under the influence (DUI) of alcohol remains a critical public safety concern, accounting for a significant proportion of road traffic injuries and fatalities. Although numerous predictive models have been developed to estimate DUI risk, many conventional approaches such as ordinary least squares (OLS), random...