Floods disrupt roads and bridges, causing delays, higher travel costs and expensive repairs. However, user costs from slower traffic and detours are often ignored. This study integrates flood models, bridge vulnerability, and traffic analysis to estimate these costs. Applied to Chile's Aconcagua Bajo watershed, it considers floods of varying frequencies, road and bridge failures, travel times, and fuel expenses, highlighting the hidden economic burden of flood events.