Road Centerline Data Accumulation for Rescue Workers Whose Expertise Is Not GIS

Abstract

Objectives: The objective of this study is to provide road centerline data for professionals of disaster medicine areas who are often beginners in GIS use. Methods: Newly developed vector tile format data were converted into shapefile format data, then were organized as second level medical districts to which medical professionals are accustomed. Results: Road centerline data in Japan is being prepared to release from Association for Promotion of Infrastructure Geospatial Information Distribution free of charge. Conclusion: Professionals of disaster medicine areas increased their accessibility of GIS. Logistic planning for evacuation activities and dispatching of rescue teams were improved.

Predicted Number of Pregnant Women in Aichi Prefecture, Japan: Estimation by Machine Learning Database Construction for Disaster Preparation

“…Hattori et al 18 applied data of this study to estimate pregnant women possibly left behind in tsunami predicted areas of Nagoya City. The estimated data of pregnant women were combined with road centerline data 19 in simulating evacuation and rescue plans of the women.…”