Mining T-100: When Sheer Volume Meets Load Factor
In this post, we will explore the Air Carrier Statistics (T-100) dataset. Similar to DB1B, T-100 is collected and made available by the Bureau of Transportation Statistics (BTS). T-100 includes […]
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Computer Science Publications for Machine Learning and Revenue Management
The Airlab team conducted a literature review, compiling publications from a computer science and machine learning perspective with a focus on revenue management. The following are 5 featured journals that […]
Mining DB1B: A Performance Comparison Between Low-Cost and Full-Service Airlines
In recent years, the rise of low-cost airlines has attracted a huge number of travelers from traditional ‘legacy’ airlines. In this blog post, we will compare the market share distribution […]
Data Science Workflow Manager (DSWM)
Data Science injects scientific and creative thinking into the industry workflow to generate more valuable insights from the data. The airline industry does not presently have the capability to fully […]
Mining DB1B: The Dynamic Relationship Between Ticket Price and Economic Indicators
In this post, we study the relationship between airline ticket price and some economic indicators. The goal is trying to find how the changes in certain economic indicators will affect […]
Next Generation Airline Data Exchange Simulator (NGADS)
Online travel agents (OTAs) such as Expedia and Booking.com, have become our preferred channel to find the best deals in air travel and book future trips. These third-party sellers may […]
Upcoming events: Issue #1 – August 2018
Aviation Festival Elevate 2018 Data Science in Aviation Workshop
Data Overview: The Origin and Destination Survey (DB1B)
The Airline Origin and Destination Survey dataset, also known as DB1B, is a 10% random sample of airline tickets data collected by the Office of Airline Information of the Bureau […]
Featured Publication: A study found the negative effect of the competition on price dispersion
In the paper entitled: “Does competition reduce price dispersion? New evidence from the airline industry”, Gerardi and Shapiro, financial economists from the Federal Reserve Bank of Atlanta and the Bureau of Economic Analysis, respectively, investigated how competition affects the dispersion and discrimination of airline prices.
Price dispersion is an economics term that refers to the fluctuation of prices across markets and sellers of identical items. The difference between price discrimination and dispersion is that the former refers to a situation when a single seller charges different customers different prices for an identical product, while the latter involves multiple sellers that charge different prices for the same product.
