Abstract
The spiral-down effect occurs when incorrect assumptions about customer behavior cause high-fare ticket sales, protection levels, and revenues to systematically decrease over time. If an airline decides how many seats to protect for sale at a high fare based on past high-fare sales, while neglecting to account for the fact that availability of low-fare tickets will reduce high-fare sales, then high-fare sales will decrease, resulting in lower future estimates of high-fare demand. This subsequently yields lower protection levels for high-fare tickets, greater availability of low-fare tickets, and even lower high-fare ticket sales. The pattern continues, resulting in a so-called spiral down. We develop a mathematical framework to analyze the process by which airlines forecast demand and optimize booking controls over a sequence of flights. Within the framework, we give conditions under which spiral down occurs.
| Original language | English |
|---|---|
| Pages (from-to) | 968-987 |
| Number of pages | 20 |
| Journal | Operations Research |
| Volume | 54 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2006 |
| Externally published | Yes |
Keywords
- Forecasting: estimation and control
- Pricing: revenue management
- Probability: applications