Analytics in Smart Tourism Design

1. Front Matter

   Pages i-xvi

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2. Analytics in Tourism Design

   • Zheng Xiang, Daniel R. Fesenmaier

   Pages 1-10

3. Travel Demand Analytics

   1. Front Matter

      Pages 11-11

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   2. Predicting Tourist Demand Using Big Data

      • Haiyan Song, Han Liu

      Pages 13-29

   3. Travel Demand Modeling with Behavioral Data

      • Juan L. Nicolau

      Pages 31-43

4. Analytics in Everyday Life and Travel

   1. Front Matter

      Pages 45-45

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   2. Measuring Human Senses and the Touristic Experience: Methods and Applications

      • Jeongmi (Jamie) Kim, Daniel R. Fesenmaier

      Pages 47-63

   3. The Quantified Traveler: Implications for Smart Tourism Development

      • Yeongbae Choe, Daniel R. Fesenmaier

      Pages 65-77

5. Tourism Geoanalytics

   1. Front Matter

      Pages 79-79

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   2. Geospatial Analytics for Park & Protected Land Visitor Reservation Data

      • Stacy Supak, Gene Brothers, Ladan Ghahramani, Derek Van Berkel

      Pages 81-109

   3. GIS Monitoring of Traveler Flows Based on Big Data

      • Dong Li, Yang Yang

      Pages 111-126

6. Web and Social Media Analytics: Concepts and Methods

   1. Front Matter

      Pages 127-127

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   2. Sensing the Online Social Sphere Using a Sentiment Analytical Approach

      • Wolfram Höpken, Matthias Fuchs, Th. Menner, Maria Lexhagen

      Pages 129-146

   3. Estimating the Effect of Online Consumer Reviews: An Application of Count Data Models

      • Sangwon Park

      Pages 147-163

   4. Tourism Intelligence and Visual Media Analytics for Destination Management Organizations

      • Arno Scharl, Lidjia Lalicic, Irem Önder

      Pages 165-178

   5. Online Travel Reviews: A Massive Paratextual Analysis

      • Estela Marine-Roig

      Pages 179-202

   6. Conceptualizing and Measuring Online Behavior Through Social Media Metrics

      • Bing Pan, Ya You

      Pages 203-211

7. Case Studies in Web and Social Media Analytics

   1. Front Matter

      Pages 213-213

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   2. Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics

      • Andrei P. Kirilenko, Svetlana O. Stepchenkova

      Pages 215-234

   3. Leveraging Online Reviews in the Hotel Industry

      • Selina Wan, Rob Law

      Pages 235-252

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.

• big data
• destination management
• web analytics for tourism
• social media analytics in tourism
• social media analytics in hospitality
• online travel reviews
• tourism intelligence
• GIS monitoring

“This book provides an update on recent development of analytics in tourism design in terms of theoretical frames, technology development, design principles and case studies. The editors and authors have demonstrated the idea of building a smart tourism system involving parties including the consumer, the business, and the destination as a whole. The book constitutes a very useful reading for academic researchers, graduate students and professionals who are interested in apply data analytics to the design of tourism systems.” (Gang Li, Information Technology & Tourism, Vol. 17, 2017)

• Department of Hospitality and Tourism Management, Virginia Polytechnic Institute and State University, Blacksburg, USA

  Zheng Xiang

• National Laboratory for Tourism & eCommerce Department of Tourism, Recreation and Sport Management, University of Florida, Gainesville, USA

  Daniel R. Fesenmaier

Zheng Xiang is Associate Professor in the Department of Hospitality and Tourism Management at Virginia Polytechnic Institute and State University. His research interests include travel information search, social media marketing, and business analytics for the tourism and hospitality industries. He is a recipient of Emerging Scholar of Distinction award by the International Academy for the Study of Tourism and board member of International Federation for IT and Travel & Tourism (IFITT). He is currently Director of Research and Awards for IFITT.

Daniel R. Fesenmaier is Professor and Director of the National Laboratory for Tourism & eCommerce, Eric Friedheim Tourism Institute, Department of Tourism, Recreation and Sport Management, University of Florida. He is author, co-author and co-editor of several books focusing on information technology and tourism marketing including "Tourism Information Technology". He teaches and conducts research focusing on the role of information technology in travel decisions, advertising evaluation, and the design of tourism places.

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