Air Travel Passenger Feedback Dataset

Columns

• ID: A unique identifying number assigned to each passenger record.
• Gender: Specifies the passenger's gender, categorised as either Female or Male.
• Age: The passenger's age, with values ranging from 7 to 85 years.
• Customer Type: Distinguishes between passengers who are Returning Customers or First-time Customers.
• Type of Travel: Indicates the purpose of the passenger's journey, either Business or Personal.
• Class: Represents the travel class chosen by the passenger, including Business, Economy, and an 'Other' category.
• Flight Distance: The measured distance of the flight, with values ranging from 31 to 4983 units.
• Departure Delay: The duration of departure delay in minutes, recorded up to 1592 minutes.
• Arrival Delay: The duration of arrival delay in minutes, with recorded values up to 1584 minutes.
• Departure and Arrival Time Convenience: A passenger rating on a scale of 0 to 5 for the convenience of flight times.
• Ease of Online Booking: A passenger rating on a scale of 0 to 5 concerning the simplicity of online booking.
• Check-in Service: A passenger rating on a scale of 0 to 5 for the efficiency and quality of check-in service.
• Online Boarding: A passenger rating on a scale of 0 to 5 for the online boarding process.
• Gate Location: A passenger rating on a scale of 0 to 5 regarding the convenience or accessibility of the gate location.
• On-board Service: A passenger rating on a scale of 0 to 5 for the quality of service received during the flight.
• Seat Comfort: A passenger rating on a scale of 0 to 5 for the comfort of their seat.
• Leg Room Service: A passenger rating on a scale of 0 to 5 for the amount of leg room provided.
• Cleanliness: A passenger rating on a scale of 0 to 5 for the cleanliness of the aircraft cabin.
• Food and Drink: A passenger rating on a scale of 0 to 5 for the quality and selection of food and beverages.
• In-flight Service: A passenger rating on a scale of 0 to 5 for the overall service provided during the flight.
• In-flight Wifi Service: A passenger rating on a scale of 0 to 5 for the quality and availability of in-flight Wi-Fi.
• In-flight Entertainment: A passenger rating on a scale of 0 to 5 for the entertainment options available on board.
• Baggage Handling: A passenger rating on a scale of 1 to 5 for the efficiency and care in baggage handling.
• Satisfaction: The overall passenger satisfaction level, categorised as 'Neutral or Dissatisfied' or 'Satisfied'.

Distribution

Usage

• Analysing customer satisfaction trends within the aviation sector.
• Identifying key service factors that significantly influence the overall passenger experience.
• Developing predictive models to forecast passenger satisfaction based on various service attributes and demographic information.
• Informing strategic decisions to enhance airline services and improve customer loyalty.

Coverage

• Demographic Scope: The dataset includes diverse passenger demographics based on gender (51% Female, 49% Male), age (ranging from 7 to 85 years), customer type (82% Returning, 18% First-time), and travel class (48% Business, 45% Economy, 7% Other).
• Time Range: The dataset is designed for annual updates. Specific dates or time periods for the existing data are not detailed.
• Geographic Scope: Information regarding the geographic coverage of the passengers or their flights is not provided in the available sources.

License

Who Can Use It

• Airlines and Aviation Companies: To gain actionable insights for service improvement, operational adjustments, and customer retention strategies.
• Data Analysts and Scientists: For conducting in-depth statistical analysis, building machine learning models, and creating visualisations to uncover patterns and relationships within the data.
• Academic Researchers: For studies focused on consumer behaviour, service quality, and satisfaction in the travel industry.
• Consultants and Market Research Firms: To advise clients on market positioning, service offerings, and customer experience optimisation.

Dataset Name Suggestions

• Airline Passenger Satisfaction Survey Data
• Flight Customer Experience Metrics
• Air Travel Passenger Feedback Dataset
• Global Airline Satisfaction Ratings
• Airline Service Quality Analysis

Attributes