Targeting leisure and business passengers with unsegmented pricing

We analyse the fare setting strategy of a leading European low-cost carrier, Ryanair, which, until recently, adopted an unsegmented pricing policy (all tickets belong to a single fare class). We show that, to account for different demand characteristics, the company adjusts the two main components governing the dynamics of posted fares, namely time (the number of days before departure) and capacity (the current number of available seats). We find that: 1) in routes with a strong presence of leisure (business) traffic, fares are set to be less (more) responsive to the time component; 2) in schedules more suitable for leisure (business) travellers, fares are set to be less (more) responsive to the capacity component

Airline pricing under different market conditions: evidence from European Low Cost Carriers

Traditional theories of airline pricing maintain that fares monotonically increase as fewer seats remain available on a flight. This implies a monotonically increasing temporal profile of fares. In this paper, we exploit the presence of drops in offered fares over time as an indicator of an active yield management intervention by two main European Low-Cost Carriers, and measure its effectiveness. We find that reduction of the offered airfare by one standard deviation raises a flight's load factor on average by 2.7 percent, a measure unaffected by the intensity of competition in a route. Furthermore, yield management interventions are less effective the higher the share of leisure (holiday and visiting friends and relatives) traffic on the route. This result runs counter to the common perception of leisure passengers being more responsive to price changes

Combined Effects of Capacity and Time on Fares: Insights from the Yield Management of a Low-Cost Airline

Based on two strands of theoretical research, this paper provides new evidence on how fares are jointly affected by in-flight seat availability and purchasing date. As capacity-based theories predict, it emerges that fares monotonically and substantially increase with flight occupancy. After controlling for capacity utilization, our analysis also supports time-based theories, indicating a U-shaped temporal profile over a two-month booking period, as well as a sharp increase in fares in the two weeks prior to departure

Sustainable management of an alpine national park: handling the two-edged effect of tourism

Food-chain model, Species conservation, Nature-based tourism, Optimal policy mix, Protected area management,