LEGACY AIRLINE CARRIER PERFORMANCE
UNITED STATES
PROJECT PURPOSE & BACKGROUND
I completed this project as part of the coursework for ISYE 6141, Regression Analysis. We were tasked with locating a large dataset, establishing a research question, and conducting statistical analyses using various Regression techniques. As this is a passion of mine, I chose to investigate performance data for the three “Legacy” airlines: American, Delta, and United.
My main research question was whether these airlines perform better at their hub airports, compared to major-city airports, or non-hub airports. Data was obtained from transtats.gov, a database from the US Federal Government. I cleaned the data and organized it by airport type. Performance was compared and operationalized based on departure delay times. Please see the paper included on this page for more information regarding the project.
PROJECT WORKFLOW
REGRESSION MODELS
OUTCOMES
The regression coefficient represents the total amount (in minutes) of delays across airport types. The results of this Ordinary Least Squares (OLS) estimator indicate that there was an average delay of 51 minutes across nonhub airports for all three carriers. Compartiviely, Delta saw a reduction in delays by 14 minutes at its hub airports, American by 10 minutes, and United by 13 minutes, respectively. These reductions were relatively large, consistent across airlines, and statistically significant. The figure above details the OLS results for airlines at their own hubs, and the two figures below show the OLS results for hub vs. nonhub performance and hub vs. major city performance.
When comparing performance between hubs, Delta Airlines is the clear winner. They reduced delays by over 3 minutes when compared to American hubs. United reduced delays by 2.9 minutes compared to American hubs., There was a 0.3 minute difference between Delta and United hubs, but it was not statistically significant.
The above outputs show the comparison between airlines at their hub airports and the five nonhub airports. Delta and American both performed slightly better at their hubs, whereas United performed slightly worse, as indicated by a positive regression coefficient. However, this was not statistically significant.
Paper submitted along with code for project grading.
PLEASE VISIT MY GITHUB FOR
CODE SCRIPTS OF EACH VISUALIZATION.
LEGACY AIRLINE CARRIER PERFORMANCE
UNITED STATES
PROJECT PURPOSE & BACKGROUND
I completed this project as part of the coursework for ISYE 6141, Regression Analysis. We were tasked with locating a large dataset, establishing a research question, and conducting statistical analyses using various Regression techniques. As this is a passion of mine, I chose to investigate performance data for the three “Legacy” airlines: American, Delta, and United.
My main research question was whether these airlines perform better at their hub airports, compared to major-city airports, or non-hub airports. Data was obtained from transtats.gov, a database from the US Federal Government. I cleaned the data and organized it by airport type. Performance was compared and operationalized based on departure delay times. Please see the paper included on this page for more information regarding the project.
PROJECT WORKFLOW
REGRESSION MODELS
OUTCOMES
The regression coefficient represents the total amount (in minutes) of delays across airport types. The results of this Ordinary Least Squares (OLS) estimator indicate that there was an average delay of 51 minutes across nonhub airports for all three carriers. Compartiviely, Delta saw a reduction in delays by 14 minutes at its hub airports, American by 10 minutes, and United by 13 minutes, respectively. These reductions were relatively large, consistent across airlines, and statistically significant. The figure above details the OLS results for airlines at their own hubs, and the two figures below show the OLS results for hub vs. nonhub performance and hub vs. major city performance.
When comparing performance between hubs, Delta Airlines is the clear winner. They reduced delays by over 3 minutes when compared to American hubs. United reduced delays by 2.9 minutes compared to American hubs., There was a 0.3 minute difference between Delta and United hubs, but it was not statistically significant.
The above outputs show the comparison between airlines at their hub airports and the five nonhub airports. Delta and American both performed slightly better at their hubs, whereas United performed slightly worse, as indicated by a positive regression coefficient. However, this was not statistically significant.
Paper submitted along with code for project grading.
PLEASE VISIT MY GITHUB FOR
CODE SCRIPTS OF EACH VISUALIZATION.