Predicting the loss of commuter air service in the United States

This paper looks at the probability of loss of commuter air service in the United States. Logistic regression using a model consisting of geographic, economic, and social variables is constructed to examine those communities in the United States that are in danger of losing commercial air service. After modeling the loss of service, patterns are discovered as to the location of these communities. The paper concludes with analysis of those cities targeted for loss of service and solutions for what these communities can do to continue to be part of the commercial air system.