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:
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.
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:
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.
Jorge R. Ridderstaat
Seasonality in tourism Tourism economics Tourism Behavior AI and patterns in tourism Climate and tourism Tourism demand Tourism and sustainability