Bayesian method for evaluation an airline profitability on the base components of Airline Route Planning

TL;DR

This paper introduces a Bayesian approach to evaluate airline profitability by modeling the complex factors involved in route planning, accounting for market uncertainties and optimizing decision-making.

Contribution

It presents a novel Bayesian mathematical model for airline route planning that integrates multiple factors and manages market uncertainty.

Findings

Demonstrates the effectiveness of Bayesian modeling in airline profitability evaluation.

Provides a framework for optimizing route planning considering market uncertainties.

Enhances decision-making in airline route planning processes.

Abstract

Airline route planning takes into account the factors of commercial and customer preferences, safety, and should allow a flexibility given the tremendous uncertainty about market conditions. The mathematical model on the Bayes formula allows optimizing the interaction of the base factors.