Taxonomy

Taxonomy

The GLOSI taxonomy classifies school buildings based on 12 parameters which are known to govern the building’s structural performance. These parameters can be broadly categorized into primary (first 3 parameters) and secondary (remaining 9 parameters). The output of the taxonomy is a building’s string of attributes related to each parameter. The taxonomy string can be seen as the building’s DNA. The development of the GLOSI taxonomy stems from recent World Bank engagement information on school buildings in Nepal, El Salvador, Peru and the Kyrgyz Republic.

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Catalog of Building Types

Catalog of Building Types

The catalog of building types illustrates the typical portfolio of school buildings in developing countries and makes information available on the expected performance in hazard events. The catalog is organized into building types and index buildings (IB), where building types are identified by the first 3 taxonomy parameters and index buildings by the full taxonomy string. Each building type can have one or more IB which are its most typical variants. An IB is a characteristic model of a building type, whose seismic behavior is representative of a group of buildings with uniquely defined geometry, materials, loads and dynamic behavior.

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Vulnerability

Vulnerability

A systematic methodological framework is used to derive seismic fragility and vulnerability functions for index buildings included in the Catalog of Building Types. The use of these functions for a specific quantitative risk assessment might require calibration to reflect the performance of a given building type particular to a country or region. This framework promotes the use of a performance-based assessment as an instrument to identify cost-efficient seismic retrofitting solutions that can be implemented at scale across large portfolios of school buildings at risk from natural hazard events.

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Vulnerability Reduction Solutions

Vulnerability Reduction Solutions

To reduce the vulnerability of large portfolios of school buildings, countries require solutions that maximize safety benefits for children and the efficiency of investments. This involves both engineering and economic considerations. In this section, experiences from World Bank-funded projects are shared through three channels: country cases, economic analyses, and engineering solutions.

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Data Collection

Data Collection

To create a school infrastructure baseline, robust data collection tools are required to systematically capture and update key information about school buildings and facilities. Different approaches can be used to complement the establishment of a baseline for quantitative risk assessments, or to conduct a post-disaster damage assessment. The GLOSI provides a systematic data collection framework, tools and guidance which support countries in creating a school infrastructure baseline using available technology.

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In Country Data

In Country Data

The GLOSI has been designed on the basis of in-country data originating from World Bank engagements dealing with school infrastructure. In-country data refers to the baseline of school infrastructure in a given developing country. The baseline contains information about the condition and capacity of existing school facilities. This repository of information started with a limited number of countries and will be enhanced over time. Access to this data is restricted and depends on each country’s policy.

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