Asia Pacific

Call for Consultancy: Urban Heat Action Plan Evaluation

Increasing heat risks combined with rapid urbanization trends, especially in Africa and Southeast Asia, and aging population trends, for example in Europe, result in a need to scale action to prevent impacts on lives, health, and wellbeing. Recognizing this need, the Global Disaster Preparedness Center (GDPC) has been supporting heat action at multiple levels, from […]

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Call for Consultancy: Curating Urban Resilience Processes and Tools

The International Federation of Red Cross Red Crescent (IFRC) has started implementation of a five-year (2022-2027) Coastal City Resilience and Extreme Heat Action Project (CoCHAP) in Collaboration with the Global Disaster Preparedness Center (GDPC) of the American Red Cross, the RCRC Climate Center, and partner RCRC National Societies of Bangladesh, Indonesia, Honduras, and Tanzania. However,

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Strengthening Risk Governance from the Ground Up: Nepal’s MDRGA Tool in Action

Authors: Bhesh Parajuli | Cale Johnstone | Anil Rai Local Solutions for Local Risks Disaster risk is most acutely felt—and most effectively managed—at the local level. In Nepal, the rollout of the Municipal Disaster Risk Governance Assessment (MDRGA) Tool is showing how empowering local leadership can lead to systemic change. With the support of the

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Nepalese Men looking at a document

Case study: A catalyst for strengthening local governance in Nepal

The Municipal Disaster Risk Governance Assessment (MDRGA) Tool empowers municipal authorities to review the current status of disaster risk reduction and management governance, identify and take action on needs and priorities. The tool is a resource developed out of a partnership between IFRC, the Nepal Red Cross Society (NRCS) and the Ministry of Federal Affairs

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Infographic: Nepal’s Municipal Disaster Risk Governance Assessment (MDRGA) tool

The Municipal Disaster Risk Governance Assessment (MDRGA) Tool empowers municipal authorities to review the current status of disaster risk reduction and management governance, identify and take action on needs and priorities. The tool is a resource developed out of a partnership between IFRC, the Nepal Red Cross Society (NRCS) and the Ministry of Federal Affairs

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The hidden power of community: Unveiling social capital’s role in Australia’s disaster resilience

Social capital – the social ties and connections between people and communities – is a crucial component of disaster resilience. But evidence that demonstrates the economic benefit of investing in social capital has been anecdotal and primarily qualitative, with an absence of empirical and quantitative evidence. This has meant it can be difficult for governments

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A building with a sign reading 'Local Emergency Operation Center (LEOC)' in both Nepali and English, located in Kailali district, Nepal.

Understanding Barriers to Early Warning Messages for People Living with Non-Communicable Diseases in Nepal

About this Paper This study explores the challenges that people living with non-communicable diseases (PLWNCDs) face in accessing early warning messages (EWMs) during disasters in Nepal, focusing on flood-prone districts of Kanchanpur and Kailali. Findings reveal delayed and inaccessible warnings, language barriers, and low trust in message accuracy, leading to limited preparedness. Many PLWNCDs struggle

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Red Cross volunteers train migrants in Bangladesh on first aid, early warning systems, and other skills so they can respond to flooding, cyclones, and other hazards.

Pre-Financing Anticipatory Action: Lessons Learned from the Bangladesh Red Crescent Society

Since 2015, the Bangladesh Red Crescent Society (BDRCS) has been at the forefront of anticipatory action, developing trigger models and testing early action activities for cyclones, floods, and heatwaves. By 2024, BDRCS had validated three Early Action Protocols (EAPs), targeting over 200,000 people, with an estimated activation cost of 940,000 CHF. Between 2019 and 2024,

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Understanding evacuation behavior during cyclones: Evidence from Bangladesh

This paper examines evacuation behaviors in response to approaching cyclones using survey data collected through face-to-face interviews with residents in coastal areas of Bangladesh. Various statistical models, including probit, panel probit, bivariate probit, and multinomial logit models, are used to analyze the determinants of both past and future evacuation decisions, as well as the choice

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