COURTNEY PAGE-TAN, PHD

DIsaster Risk Reduction

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  • Data tools for assessing disaster risk reduction: An analysis of open-access spatial disaster risk reduction datasets (The 2022 United Nations Global Assessment Report on Disaster Risk Reduction)
  • International actors leading in relief efforts: 2004 Indian Ocean Tsunami aid assessment (Asian Politics and Policy)
 

DATA TOOLS FOR ASSESSING DISASTER RISK REDUCTION:
​AN ANALYSIS OF OPEN-ACCESS SPATIAL DISASTER RISK REDUCTION DATASETS

Abstract

This study explores the use of geospatial information, specifically open-access spatial data, and the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, a framework designed to manage disaster risk. The priorities of the Sendai Framework are to (1) understand disaster risk; (2) strengthen disaster risk governance to manage risk; (3) invest in disaster risk reduction and resilience; and (4) enhance the capacity to recover from disasters. This study advances knowledge of implementing the Sendai Framework from publications that have utilized open-access spatial data and issues common to Framework implementation. This study also discusses how the issues could be addressed by those who have a vested interest in disaster risk reduction, from policymakers to community members.
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This study reveals that the literature using open-access spatial data to study the implementation of the Sendai Framework cites real progress toward its goals. However, challenges remain, particularly issues in data quality and integrity; lack of resources and infrastructure; lack of political leadership or political corruption; and inconsistent standards with definitions and data collection. The findings from this review reveal that ensuring uniform standards; shared definitions; improved data quality; additional resources and infrastructure; and bottom-up approaches will be key to assessing implementation and progress toward the Sendai Framework.  
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Citation: Page-Tan, C. (2022) Data tools for assessing disaster risk reduction: An analysis of open-access spatial disaster risk reduction datasets. The 2022 UN Global Assessment Report on Disaster Risk Reduction (GAR). UN Office for Disaster Risk Reduction. https://www.undrr.org/publication/data-tools-assessing-disaster-risk-reduction-analysis-literature-using-open-access  
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INTERNATIONAL ACTORS LEADING IN RELIEF EFFORTS:
2004 INDIAN OCEAN TSUNAMI AID ASSESSMENT

Abstract

The Indian Ocean tsunami was one of the most devastating natural disasters the world has seen in the last 50 years. Following the calamities, the world responded and international actors went to work to relieve human suffering and rebuild the infrastructure that lay in ruins. This study examines the collective experiences of 21 organizations according to six disaster management dimensions: disaster preparedness, early recovery/livelihood support, public awareness, capacity-building, accountability and measuring mechanisms, and coordination post-disaster. The findings of this study provide policy recommendations according to the accomplishments, limitations, and progress made since 2004 shared by organizations responding to the largest and most publicized humanitarian crisis in recent times.
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Citation: Page, C. (2009). International actors leading in relief efforts: 2004 Indian Ocean Tsunami aid assessment. Asian Politics and Policy, 1(3) 435–462. https://doi.org/10.1111/j.1943-0787.2009.01134.x
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  • Home
  • CV and Bio
  • Research
    • Pandemic Resilience
    • Network Analysis and Resilience
    • Mapping Resilience
    • Social Media and Community Resilience
    • Social Capital and Disaster Resilience
    • Public Policy and Governance
    • Disaster Risk Reduction
  • Teaching
  • Contact