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This research paper aimed to analyze the impact of delays on passenger satisfaction in air transport using logistic regression as the primary analytical method. Logistic regression was chosen for its ability to estimate the probability of certain events occurring, in this case, passenger satisfaction depending on arrival delays. The modeling results showed a negative impact of delays on passenger satisfaction, with each additional minute of delay reducing the probability of satisfaction by approximately 0.34%. Model validation using various metrics, such as p-value, chi-square test, and R-squared, confirmed a significant relationship between arrival delays and passenger satisfaction. These findings have important applications in improving air transport services, as they contribute to optimizing operations and enhancing the passenger experience.

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Modeling of the Impact of Flight Delays on Passenger Satisfaction Using Logistic Regression

  • 会议论文

  • 发表日期：

    2025年

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  • Amel Kosovac,
  • Adisa Medić,
  • Amer Kurešepi,
  • Azra Neimarlija

摘要

This research paper aimed to analyze the impact of delays on passenger satisfaction in air transport using logistic regression as the primary analytical method. Logistic regression was chosen for its ability to estimate the probability of certain events occurring, in this case, passenger satisfaction depending on arrival delays. The modeling results showed a negative impact of delays on passenger satisfaction, with each additional minute of delay reducing the probability of satisfaction by approximately 0.34%. Model validation using various metrics, such as p-value, chi-square test, and R-squared, confirmed a significant relationship between arrival delays and passenger satisfaction. These findings have important applications in improving air transport services, as they contribute to optimizing operations and enhancing the passenger experience.