Analysis of U.S. Airport Characteristics and Their Impact on Safety (2023-2024)

This dataset compiles data from all airports across the United States of America to analyze how their characteristics influence safety. 

The analysis focuses on the number of incidents that occurred during 2023 and 2024. Each airport is represented as a row and identified by its FAA Location Identifier (Loc ID), a three- to five-character alphanumeric code assigned by the Federal Aviation Administration (FAA). The dataset includes the following variables as columns:  

Intrinsic Characteristics of the Airports – This category includes variables such as the airport’s geographical coordinates (ARP latitude, ARP longitude, and elevation), the U.S. state, county, city where the airport is located, the biannual enplanements, and the airport size.  

Biannual Weather Conditions – This category provides information on the average meteorological conditions in the area where the airport is situated. Variables include the minimum and maximum biannual average temperatures, average biannual precipitation (in inches), and biannual fog frequency.  

Incident Variables (Recorded Incidents) – This category contains variables representing different types of incidents recorded at the airport. Each variable corresponds to a specific cause of an incident, including: Approach Incident, Maneuvering Incident, Emergency Descent Incident, Enroute Incident, Initial Climb Incident, Landing Incident, Standing Incident, Takeoff Incident, Taxi Incident, Uncontrolled Descent Incident, It also includes the highest level of injury for each incident being Fatal, Minor, None and Serious. Total number of incidents per U.S. airport and A final binary variable: "Has the airport experienced any incidents in 2023-2024?", which returns a TRUE/FALSE response.  

This dataset aims to facilitate a comprehensive analysis of airport safety by examining how various characteristics correlate with incident occurrences.