MUSUBOU-AR: An Open-Source Geospatial AR Framework for Integrating Public GIS Data, Field Authoring, and Disaster Walking Tours

Vollständiger Abstract

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Abstract. Conventional hazard maps, public GIS layers, and disaster education materials are essential resources for community disaster risk reduction, but they do not always support in-situ spatial understanding during field-based training. This paper presents MUSUBOUAR, a publicly released open-source geospatial augmented reality framework that links public GIS resources, local scenario authoring, mobile AR visualization, and post-activity review for disaster walking tours. The system combines a map mode based on public and custom XYZ tiles, an AR mode for location-based visualization of hazards and disaster-related field resources, a webbased authoring environment for points, routes, and GIS layers, GPX-based field logging and review, and optional LiDAR-enhanced AR visualization for improving environmental alignment and ground-surface-aware rendering. As a representative field deployment, the framework was used in a joint disaster walking tour in the Hiro area of Kure City, Hiroshima Prefecture. In this paper, the case is used primarily to examine the field-deployment workflow of MUSUBOU-AR, including public hazard-map use, route and point authoring, AR scenario configuration, and on-site operation. A previously reported facilitator survey provides supplementary evidence that the activity supported situated geospatial interpretation among university student facilitators. Although the supporting survey evidence was limited by a small sample and no control group, the results suggest that MUSUBOU-AR can support reusable geospatial workflows for field-based disaster risk communication.