Analyzing optimal routes to safe areas using OpenStreetMap and very high-resolution remote sensing imagery

Abstract

This study presents a study on the practical application of an integrated system of
OpenStreetMap (OSM), high-resolution imagery, and Geographic Information System (GIS) for
route analysis. The research findings demonstrate the effectiveness of utilizing these
technologies to assess earthquake damage, evaluate transportation accessibility, and plan
optimal routes to safe areas. By comparing pre- and post-earthquake images and extracting
spatial data from OSM, the study accurately identifies the extent and nature of the damage,
highlighting the crucial role of high-resolution imagery in resource allocation, route planning,
and relief efforts. Furthermore, the research emphasizes the significance of high-resolution
imagery and OSM data in urban planning and disaster preparedness. By incorporating up-todate road networks from OSM and detailed visual information from high-resolution images,
the system performs route optimization, identifies obstacles or hazards, calculates distances
and travel times, and supports informed decision-making for transportation planning,
logistics, or emergency response. For determining the shortest, fastest, and recommended
routes to safe areas, the system considers factors such as road networks, distances, travel
times, land use, and potential obstacles or hazards. These findings have significant
implications for disaster preparedness, urban planning, and effective communication with
government agencies and aid organizations.