A mixed‐mode data collection approach for building inventory development: Application to school buildings in Central Sulawesi, Indonesia

Urban disaster risk management and reduction requires the development and periodic updating of regional building inventories. However, the development of such inventories can be very cost‐intensive and time‐consuming, making this a challenging task, particularly for low‐ and middle‐income countries. This article discusses a mixed‐mode building inventory data collection framework using a rapid and cost‐effective remote survey technique that can be deployed in various geographic contexts. A key component of the proposed approach is an inter‐rater reliability analysis of data collected from traditional sidewalk surveys and remote surveys for a small subset of buildings in the considered building portfolio, which is used to assess the suitability of the remote survey for the location(s) considered. The framework is demonstrated by developing a regional database of school buildings in the Central Sulawesi region of Indonesia. The database consists of 2536 school buildings from 454 elementary and high schools in the Palu, Sigi, and Donggala regions, susceptible to earthquake‐induced ground shaking, tsunami, liquefaction, and landslides. The developed database can be used in pre‐event/long‐term risk analysis and management, post‐event/near‐real‐time loss estimation, and regional‐level decision‐making on school assets and related policies. The database has been made available for public use and can be readily harmonized with similar databases for other regions.