Quantitative Risk Assessment & Management Metrics for Airport Services

Airport satisfaction risk is concerned primarily with how travelers rate their experience with the various aspects of airport-related travel including issues such as security, food, and baggage claim and on-time performance to name a few. In this research book, we will adopt a model of airport satisfaction risk that quantifies the traveler’s experience with eight crucial facets of airport-related travel. However we will add an original concept of quantification to the existing model through a designed algorithm by the author to calculate the airport satisfaction risk index. To accomplish this task, numerical and/or cognitive data was collected to supply the input parameters to calculate the quantitative risk index for airport satisfaction. This paper will not only present a quantitative model but also generate a prototype numerical index proposal that breaks new ground to help authorities measure and alleviate the universal problems of risk in the world airports. To assess airport satisfaction, an Airport Satisfaction Risk-Meter (RM) based on a series of questions designed to assess the traveler’s perceptions of that satisfaction will be utilized based on the traveler responses.

Dr.M. Sahinoglu, Dist. Prof., formerly the CS Eminent Scholar and Chair at Troy University is the founding Director of the Informatics Institute, and Cybersystems and Information Security MS program of Auburn University at Montgomery. He holds a BSEE & MSEE from METU/Ankara (1973)and University of Manchester/UK (1975) and PhD from Texas A&M (1981).