Future Space: Studies in Geo-Education
Vol. 3 No. 2 (2026): Future Space: Studies in Geo-Education

GIS Network Analysis for Volcanic Evacuation Modeling and Geography Education Frameworks

Hanif, Naufal Muhammad (Unknown)
Bachri, Syamsul (Unknown)



Article Info

Publish Date
29 Apr 2026

Abstract

This study models optimized evacuation routes for the Kelud Volcano eruption in Blitar Regency using Geographic Information System (GIS) Network Analysis, specifically employing Closest Facility and Service Area algorithms. Utilizing disaster-prone area (KRB) maps, road network shapefiles, and evacuation post locations, the spatial simulation was parameterized based on the 2014 Kelud eruption. The model establishes a standardized empirical baseline by assuming a constant evacuation velocity of 40 km/h to estimate travel times, while acknowledging the limitations of dynamic traffic congestion during emergencies. The analysis produced two primary spatial outputs: optimal trajectories to the nearest temporary and final shelters, and comprehensive shelter accessibility isochrones. Quantitative findings indicate that evacuation distances to final shelters range from 866.4 meters (1-minute travel time) to 16,720.9 meters (25-minute travel time). While the resulting maps offer a vital spatial framework to enhance local disaster preparedness, the reliance on 2001-era road network data underscores a critical limitation. Therefore, updating regional infrastructure geospatial data is strongly recommended before integrating these models into formal disaster risk management policies to effectively minimize potential casualties and material losses.

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Journal Info

Abbrev

js

Publisher

Subject

Earth & Planetary Sciences Education

Description

Aim and Scope Future Space: Studies in Geo-Education Aim: The primary aim of Future Space: Studies in Geo-Education is to serve as an international forum for scholarly research, analysis, and dialogue concerning innovative methodologies, progressive practices, and transformative insights within the ...