Analytics In Smart Tourism Design

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Analytics in Smart Tourism Design

This book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.
Advancing Smart Tourism Through Analytics

The tourism industry is rapidly evolving, driven by technological advancements and the increasing demand for personalized, immersive experiences. However, many businesses need help to effectively harness the power of data analytics and artificial intelligence (AI) to meet these evolving demands. The need for more understanding and expertise in utilizing AI-driven data analytics poses a significant challenge for professionals in the tourism sector, hindering their ability to drive operational efficiency and enhance decision-making. Advancing Smart Tourism Through Analytics provides a revolutionary solution to this pressing challenge. By offering a comprehensive guide that bridges the gap between data analytics, smart tourism, and AI, this book empowers scholars, practitioners, and researchers to unlock the full potential of AI in the tourism industry. With a focus on theoretical foundations and practical implementations, this book equips readers with the skills and knowledge to effectively integrate AI-driven data analytics into their business strategies.
Smart Tourism as a Driver for Culture and Sustainability

This book explores the latest developments in the field of smart tourism, focusing in particular on the important cultural and sustainability synergies that have emerged during the digital era. The aim is to elucidate how ICTs can promote innovation and creativity in the tourism and leisure sector in ways that take into account cultural and social responsibilities, foster sustainable tourism management, and enhance cultural tourism, cultural heritage, and sustainable development. The book is based on the proceedings of the Fifth International Conference of the International Association of Cultural and Digital Tourism (IACuDiT), attended by academics and industry practitioners from cultural, heritage, communication, and innovational tourism backgrounds, and is edited in collaboration with IACuDiT. It will have broad appeal to professionals from academia, industry, government, and other organizations who wish to learn about novel perspectives in the fields of tourism, travel, hospitality, culture and heritage, leisure, and sports within the context of a knowledge society and smart economy in which sustainability is becoming ever more important.