Type of disaster addressed: Three
high-impact, past disaster scenarios: hazardous materials spillage, malicious act endangering the vulnerable population,
and pluvial flood
Type of danger addressed: Fire and smoke with dangerous properties, groundwater impacts; impacts on critical infrastructure (dwellings, social service provision facilities, transportation elements, shelters); need for temporary accommodations, changes in locations for obtaining basic resources and assistance
Special vulnerable groups: Homeless persons in and near disaster affected areas.
Other groups / communities: Other populations in vicinity, local authorities, public and NGO services sector.
Tools or technologies used:
Interviews, simulation, mathematical modelling and
Method of analysis: Stakeholder interviews, analyses of census data, mathematical conceptualization, computer coding
Real-life condition: Suggested changes to policies, preparedness and response actions and communication strategies specific to the needs of the homeless population of the study region.
Beneficiaries: All persons in the region, especially the homeless population. the first respondents and social policy makers in Washington D.C.
Innovation outcomes: Increase in social resilience of the fragile population against future hazards.
Research Infrastructure: Simulation and optimization platforms for implementing computational methods available at George Mason University, Va., the US