Date of Graduation
5-2020
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Milburn, Ashlea B.
Committee Member/Reader
Sullivan, Kelly M.
Abstract
Hurricane Florence was a category 4 storm which caused an estimated $24 billion in damages and the loss of 53 lives. During and immediately following Florence, there were 235 shelters operating in and around the North Carolina (NC) area. These were used as temporary housing for storm victims and by emergency responders to distribute relief supplies and provide medical services. Emergency officials consider several factors when deciding where to open shelters, including, for example, proximity of victims and their levels of medical needs. Access disparities, or factors creating barriers that limit entry to shelters, put certain populations and regions at higher risk of not receiving the necessary supports during a response effort. Despite the recognized need for universal accessibility, the explicit consideration of populations of increased risk, such as the elderly and those with Access and Functional Needs (AFN), is missing from the disaster response shelter location literature. Methods to maximize the potential spatial accessibility of shelter locations, inclusive of vulnerability factors, are demonstrated for a case study based on Hurricane Florence. The recommended shelter locations were compared to the locations of actual shelters used during Florence as well as other shelter placement methods on the basis of accessibility scores.
Keywords
shelter; shelter placement; natural disaster; health needs; optimization model
Citation
Johnson, A. (2020). Optimal Emergency Response Shelter Placement based on Population Vulnerabilities. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/70
Included in
Industrial Engineering Commons, Operational Research Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons