First Advisor

Avinash Unnikrishnan

Date of Award


Document Type


Degree Name

Bachelor of Science (B.S.) in Civil Engineering and University Honors


Civil and Environmental Engineering


Clinics -- Location -- Planning, Health facilities -- Location, Health services accessibility, Minorities -- Medical care -- Oregon -- Portland, Poor -- Medical care -- Oregon -- Portland




Americans are consistently spending more time and money on their healthcare. The increase in spending is not consistent across all demographics. Minority and lower-income individuals are often spending the most. The locations of healthcare facilities are a key contributor to this discrepancy. The distance an individual must travel for healthcare leads to their exclusion from accessing that facility if the distance is too great. Engineers work to remedy this disparity in access using facility location models. The work presented herein uses one such model to address healthcare disparities in Portland, Oregon. The formulation is a maximal covering location model that uses mixed integer programming parameters. The objective is to maximize medical coverage for the targeted demographics through the strategic opening of free of cost satellite medical facilities.


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