Abstract
This article analyzes how the preferences of tourists for types of resorts, crowding types of tourists, and the pricing strategies of the resorts interact to determine the occupancy rate, price, and distribution of welfare in the market of resorts. The model captures the process of acquisition of information of the consumers for making the choice of resorts and a dynamic strategy adopted by the resorts to manage their revenue. After describing the difficulties to introduce an analytical description of the model, an agent-based model (ABM) is presented to explore the properties of the market. The study shows that crowding types of tourists in destinations together with a very simple revenue management heuristic can produce counterintuitive results affecting the distribution of surplus in the markets. When all the managers in a market overreact by raising prices as consequence of a high occupancy rate, they appropriate a larger portion of the surplus of the market. When managers are risk-averse and rapidly reduce prices when occupancy is low, they deliver more welfare to tourists.
Original language | English |
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Pages (from-to) | 1-10 |
Number of pages | 10 |
Journal | IEEE Transactions on Computational Social Systems |
DOIs | |
Publication status | Accepted/In press - 2022 |
Keywords
- Adaptation models
- Agent-based models (ABMs)
- Analytical models
- Behavioral sciences
- Complex systems
- complex systems
- Costs
- crowding types
- Games
- price dynamics
- Pricing
- tourism destinations
ASJC Scopus subject areas
- Modelling and Simulation
- Social Sciences (miscellaneous)
- Human-Computer Interaction