GCRI · Disaster Resilience and Recovery
Community and local preparedness
In most disasters, neighbours, local organisations and local governments act first, long before outside help arrives. Their knowledge, networks and resources decide how many people are warned, rescued, sheltered and supported in the first hours and days. This page sets out how local preparedness works, how it can be supported without displacing local leadership, and what evidence serves local governments and community organisations.
Community and local preparedness on the record.
Community and local preparedness: how the risk develops.
Local governance and inclusion. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Neighbours are first responders
Search and rescue in the first hours is mostly carried out by people nearby. Their training, tools and knowledge of who needs help shape survival.
Social ties carry help
Networks of family, faith groups, associations and neighbours share information, shelter and resources. People who are isolated, new or excluded are reached last.
Local knowledge reads the hazard
Communities often recognise signs of floods, landslides or drought from experience and tradition. That knowledge complements formal warnings when both are respected.
Local resources are thin
Local governments and organisations hold the mandate to act but often lack funds, staff and authority. Flexible local funding and clear roles make their action faster.
Anticipatory action console.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Anticipatory action console
Community and local preparedness · Province C · Monsoon season
Protocol
- Readinessforecast lead 10 d
- Activationlead 3 d
- Early actions72 h window
- Responseif event
- Learningreview
River forecast at trigger gauge
Pre-agreed actions
| Cash to at-risk households | 72 h | 45 | Yes |
| Livestock evacuation | 48 h | 10 | Partial |
| Shelter kits | 72 h | 22 | Yes |
Local preparedness is where the domains meet households.
- WaterCouplingHousehold water storage and treatment bridge outages.What to watchHousehold preparedness surveys
- HealthCouplingPeople with disabilities and chronic illness need tailored plans.What to watchInclusion in local plans
- FoodCouplingLocal stocks and social networks carry households through shocks.What to watchCoping strategies used
Local evidence is designed for the Evidence Brief series. Making Cities Resilient 2030 and IFRC's community assessment practice set local methods; communities lead and own their plans.
- Community plans shared with consent.
- Local accounts of what worked.
A threshold model of collective behaviour.
Each agent acts once enough of its contacts have; small changes in the mean threshold or the early movers decide whether the behaviour stays local or cascades through the population. Teaching model with stated illustrative values, not a prediction.
Controls
- Mean threshold (share of neighbours)
- 18%
- Spread of thresholds
- 8 points
- Early movers
- 2.0% of people
- Contacts per person
- 8
Readouts
- Share who acted in the end
- 100%
- Global cascade
- Yes
- Steps to settle
- 9
Numbers, methods and sources
| Step | Share who have acted (%) |
|---|---|
| 0 | 1.5 |
| 1 | 6.3 |
| 2 | 16.5 |
| 3 | 32.5 |
| 4 | 49.8 |
| 5 | 69.5 |
| 6 | 91.8 |
| 7 | 98.8 |
| 8 | 100.0 |
| 9 | 100.0 |
Methods
- Threshold models of collective behaviour Granovetter (1978), American Journal of Sociology 83
- Global cascades on random networks Watts (2002), PNAS 99
- Complex contagions Centola and Macy (2007), American Journal of Sociology 113
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme's own evidence.
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Disaster Resilience and Recovery in Foundry
- Tested at Disaster Resilience and Recovery in Universe
- Codified in Hazards and Disaster Risk Reduction in Standards
- Published in Disaster Resilience and Recovery in Reports
- Taught in Faculty of Hazards, Disasters and Resilience in Academy
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Communities with local disaster risk plans | percent of communities | annual | Local government records | REPORTED |
| Trained community volunteers | count per thousand population | annual | Volunteer registers | REPORTED |
| Households with a preparedness plan | percent of households | per survey | Household surveys | REPORTED |
| Local organisations in coordination mechanisms | count | annual | Coordination records | REPORTED |
| Humanitarian funding to local actors | share of funding provided directly to local and national actors | annual | Financial tracking | REPORTED |
| People with disabilities included in local plans | percent of plans with specific measures | per review | Plan reviews | ESTIMATED |
How community and local preparedness is modelled, measured and tested.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
Uncertainty bands
How far the outlook for community and local preparedness could spread, shown as ranges rather than a single line.
- Central estimate
- median of the ensemble
- Ranges
- likely and very likely, in IPCC calibrated language
- Ensemble
- members, scenarios and initial conditions stated
- Read with
- the sensitivity of the result to each input
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| UNDRR Disaster Resilience Scorecard for Cities | City self-assessment against the ten essentials | Public, UN terms of use |
| IFRC Road Map to Community Resilience and community resilience measurement dashboard | Approach and tools for community resilience | Public, IFRC terms (to check) |
| OCHA Financial Tracking Service | Humanitarian funding flows by recipient type | Public, UN terms of use |
| Global Network of Civil Society Organisations for Disaster Reduction Views from the Frontline | Community perspectives on local risk and resilience | Public, terms to check |
| National household and preparedness surveys | Household preparedness and risk perception | Licence per survey |
Who decides, and what the evidence serves.
Disaster Resilience and Recovery prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Local governments | How to plan, fund and coordinate local preparedness | Scorecard results; local plan reviews |
| Community and civil society organisations | Where to focus training and outreach | Household survey evidence; inclusion reviews |
| Donors and international agencies | How to channel funding and authority to local actors | Funding flow analyses |
Outputs this topic produces
- Community preparedness assessment protocols
- Inclusion reviews of local plans for disability, age and gender
- Local funding flow analyses
- Case studies of local leadership in response, prepared with participants
What experts ask.
Researchers on local preparedness ask who acts first and with what.
- Who acts in the first hours and days, and with what knowledge, resources and authority?
- How do social networks and local organisations affect evacuation, response and recovery?
- Are older people, disabled people, women, children, migrants and minorities included in plans?
- How do local governments with limited resources carry responsibilities assigned by national law?
- How can local and traditional knowledge be combined with formal risk information?
Local capacity and the people left out.
Social ties are one of the strongest predictors of how people fare in disasters. People with networks receive warnings sooner, evacuate with help, find shelter and access recovery support. Isolated people, including many older and disabled people, face greater risk. Local organisations, from faith groups to traders' associations, often provide the first response and act as trusted channels when formal ones fail.
Local government is frequently assigned responsibility without matching resources. Where national systems treat communities as passive recipients, they can overlook local knowledge and weaken the capacities they depend on. Inclusion is a safety issue as well as a rights issue: plans that ignore the needs of particular groups fail those groups, and those failures often reveal gaps that affect everyone.
How the evidence is built, and where it stops.
- 01
Participatory risk assessment
Communities mapping their own risks and capacities. Results depend on who participates.
- 02
Social network and survey research
Measuring ties and their role in response, with social and behavioural science. Networks are hard to measure consistently.
- 03
Local capacity assessment
Reviewing resources and mandates of local government. Formal mandates may not reflect actual capacity.
- 04
Inclusion audits
Checking plans against the needs of specific groups. Data disaggregated by disability or age is often missing.
How it is studied, and what the methods cannot say.
- 01Social and behavioural scienceWarning response surveys · Participatory risk assessment · Social vulnerability analysisApplied here
- 02Geospatial information systemsExposure mapping · Rapid damage assessment · Common operational dataApplied here
- 03Decision analysis under uncertaintyCost-benefit of risk reduction · Acting on forecasts · Recovery prioritisationApplied here
Where this page's references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Questions and answers.
What is community-based disaster risk management?
Why localise disaster response?
How can households prepare?
Why does inclusion matter for preparedness?
Can local knowledge be trusted alongside scientific data?
Does the platform work directly with communities?
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