Models and Applications of Tourists’ Travel Behavior
Capture the pulse of modern tourism with Models and Applications of Tourists’ Travel Behavior, a clear, rigorous exploration by Francesca Pagliara, Massimo Aria, and Filomena Mauriello. This authoritative volume decodes how travellers choose destinations, route their trips, and respond to policy, price and place—essential reading for anyone shaping the future of travel.
Dive into an engaging collection that balances theory and practice: from discrete choice and agent-based models to spatial interaction and demand forecasting, each chapter translates complex methods into usable insights. Rich with real-world examples from European cities, Mediterranean destinations and global tourism markets, the book shows how data-driven modeling informs destination management, transport planning and sustainable tourism strategies.
Perfect for researchers, urban and regional planners, tourism professionals and advanced students, this book offers practical tools for predicting tourist flows, optimizing service provision and designing resilient tourism policies. Learn how to segment visitors, anticipate peak pressures, evaluate marketing campaigns and simulate scenarios—from seasonal demand shifts to infrastructure changes—using models that respect both human behavior and local contexts.
Readable yet scholarly, the authors combine methodological rigor with applied case studies that make the material immediately relevant for city governments, DMOs, transport authorities and hospitality businesses. Whether you work on coastal resorts, historic cities or cross-border corridors, you’ll find strategies to improve visitor experience, protect destinations and enhance economic outcomes.
Order your copy today to transform data into decisions—and stay ahead in an evolving tourism landscape. Explore tourist behavior models, unlock actionable analytics, and design better destinations with this indispensable resource.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


