Structured across nine chapters, this work moves from foundational concepts to advanced theoretical models and actionable strategies. Drawing on an interdisciplinary framework that integrates economics, behavioral science, ecology, and artificial intelligence (AI), the book combines qualitative insights from 19 studies with quantitative rigor through 79 time-series analyses. Innovative tools such as the Tourism-Time Possibilities Frontier (TTPF) and statistical models like Census X-13-ARIMA-SEATS provide cutting-edge approaches to understanding and managing seasonality.
Key themes include:
- Historical and ecological perspectives on tourism rhythms
- AI-driven solutions for seasonality management
- The intersection of seasonality with overtourism and sustainability
- Cross-cultural influences and temporal justice in tourism planning
This book is an essential resource for researchers, policymakers, and practitioners seeking to navigate the complexities of tourism seasonality in a rapidly changing global context.
Springer International Publishing
978-3-032-19202-8