Emergency logistics in island regions presents a unique challenge due to geographical isolation and limited infrastructure resources. In such environments, natural disasters frequently sever arterial roads, resulting in conventional logistics planning based on paved networks ineffective. Furthermore, existing hazard maps primarily focus on identifying danger zones rather than evaluating post-disaster accessibility or the energy costs required for relief vehicles. To address these issues, this study proposes a novel hazard map framework to evaluate off-road travel time and fuel consumption, operating independently of vulnerable road networks. The methodology approximates terrain using Triangulated Irregular Networks (TINs) derived from high-resolution Digital Elevation Models (DEMs) to simulate vehicle performance on raw terrain. Unlike simple distance-based metrics, the study employs a physics-based fuel consumption model to account for the high rolling and slope resistances inherent to loose soil and complex terrain. A case study conducted on Izu-Oshima Island compares the simulated off-road performance against benchmark travel on existing paved roads. The results reveal a significant gap: while off-road travel time increased by factor of 1.2, fuel consumption increased by a factor of 3.1 compared to on-road driving. This finding highlights that conventional logistics metrics often underestimate energy requirements in disaster scenarios. The proposed framework successfully visualizes travel time and energy costs, offering a robust tool for resilient logistics planning under uncertain terrain conditions.

Keywords

Emergency Logistics, Off-road Pathfinding, Fuel Consumption, Hazard Map, Triangulated Irregular Network