Analysis The Impact Of Infrastructure Damage On Humanitarian Logistics Performance In The Disaster Response Phase

Abstract

The Tapanuli region is highly vulnerable to simultaneous flood and landslide disasters that paralyze vital infrastructure. This condition critically impedes humanitarian logistics during the response phase, yet its quantitative impact is not well understood. This study aims to analyze the influence of infrastructure disruption on logistics performance (time, cost, coverage) and to identify critical bottlenecks. The methodology is a quantitative GIS-based simulation study with three scenarios: Normal, Low Damage, and High Damage. Network analysis and linear regression were applied to measure the impact of each scenario. The results show that infrastructure disruption has a highly significant negative impact on logistics performance. In the high-damage scenario, a "cliff effect" was observed, with service coverage plummeting to just 60%, isolating 40% of the study area, and average travel time increasing by nearly 600%. These findings demonstrate the systemic vulnerability of centralized logistics strategies and recommend a shift towards decentralized preparedness to enhance supply chain resilience.