RECOVERY

supporting response and recovery decisions

 

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Supporting Equitable Disaster Recovery Through Mapping and Integration of Social-Vulnerability Into Rapid Post-Disaster Impact Assessments [current]

Collaborators: Earth Observatory of Singapore (EOS), Nanyang Technological University (lead); Kathmandu Living Labs (KLL); Stanford Urban Resilience Initiative (SURI); Humanitarian OpenStreetMap Team (HOT); World Bank Global Facility for Disaster Risk Reduction (GFDRR) and World Bank Big Data Program; and NASA Jet Propulsion Lab and Advanced Rapid Imaging and Analysis Center (NASA-JPL/ARIA)

Several key decisions are made soon after an earthquake that define how housing recovery evolves. These decisions require rapid estimates of the post-disaster impact. But how do we estimate impact? Typical post-earthquake assessments focus on direct economic losses to physical assets (number of houses damaged, total reconstruction cost). However, there's not only disaster-induced damage to the built environment, but also disaster-induced need from the most vulnerable communities. But the way we estimate direct losses shifts the focus to those with the most valuable assets - perhaps not the disproportionately affected that started with less to begin with. Because of this way that we measure impact, disasters (through no bad intent) have the power to indirectly highlight and potentially amplify social inequality.  

This project thus aims to 1) advance methods of rapidly estimating the spatial distribution of post-earthquake building damage and 2) define a metric for measuring impact that incorporates disaster-induced vulnerability. We'll specifically be working with Kathmandu Living Labs in our preliminary study of the 2015 Nepal earthquake.

This project is funded by the Innovation Fund, through the Global Partnership for Sustainable Development Data and the World Bank's Development Data group.

 
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Platform for one "area-based" crowdsourcing approach

The Uses and Development of Crowdsourced Building Damage Information 

Collaborators: Humanitarian OpenStreetMap Team (HOT); World Bank Global Facility for Disaster Risk Reduction (GFDRR) and GIScience at Heidelberg University

The Haiti 2010 earthquake brought about one of the first large-scale initiatives of crowdsourcing for building damage information. Crowdsourcing for rapid damage estimates has the power to inform multiple post-earthquake decisions, where loss estimates are needed at a regional level. Our team at the Stanford Urban Resilience Initiative tested three different methods for crowdsourcing this information, deviating away from the typical "building-by-building" approach to an "area-based" approach to address these information needs.

Report is forthcoming. Click the link below for more information.

 
 Christchurch Cathedral, 2017

Christchurch Cathedral, 2017

Validating inSAR-based Damage Proxy Maps for the 2011 February Earthquake in Christchurch

Collaborators:  World Bank Global Facility for Disaster Risk Reduction (GFDRR); NASA Jet Propulsion Lab and Advanced Rapid Imaging and Analysis Center (NASA-JPL/ARIA); and Tonkin + Taylor

After the February 2011 earthquake in Christchurch, New Zealand, NASA-JPL/ARIA produced their first inSAR-based damage proxy map (DPM). Using in-depth building-level field surveys of liquefaction-induced damage, we are in the process of analyzing the validity of these maps. This validation exercise can improve the performance of the DPM for future events.

Work is ongoing and report is forthcoming.