Most hotspot analyses still rely mainly on accident databases. This approach is useful, but it also comes with clear limitations: it only reflects recorded crashes, requires significant manual effort, and is typically updated only occasionally. More importantly, it leads to a reactive perspective—locations are flagged as risky only after accidents occur. This naturally leads to a key question: how can we identify potentially unsafe locations before accidents happen?