Understanding the vulnerability of at-risk population and infrastructure interdependency during natural hazards using open source data

As the intensity, duration and frequency of extreme events increases over time, the response to effectively deal with such events has to be focused and prioritized on the most vulnerable population to minimize loss of life and increase the efficiency of response. In addition, disruptions and damages to critical infrastructures like electricity and roads which are interconnected and vital to these vulnerable population hotspots need to be identified and their inter-dependencies understood. Using open source data of at-risk population in hospitals, nursing homes, schools and childcare centers, we demonstrate the exposure and vulnerability of this population to natural and anthropogenic hazards. We also demonstrate how vulnerability of these at-risk population is compounded due to potential disruptions in the electric grid. Our analysis of specific at-risk population at a fine spatial scale will help implement better mitigation strategies as well as adopt more robust adaptation strategies for vulnerable populations.