Analytics in smart tourism design : concepts and methods

• Other Authors: Xiang, Zheng (Editor), Fesenmaier, Daniel R. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Switzerland : Springer, [2017]
• Series: Tourism on the verge.
• Subjects: Tourism.; Web usage mining.; elektronické knihy; electronic books
• ISBN: 9783319442631; 9783319442624
• ISSN: 2366-262X
• Physical Description: 1 online resource (xvi, 307 pages)

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 a...

Table of Contents:

• Acknowledgments; Contents; List of Contributors; Analytics in Tourism Design; 1 Introduction; 2 Foundations of Big Data Analytics; 3 Analytics in Tourism Design: Needs and Opportunities; 4 Directions for Research; References; Part I: Travel Demand Analytics; Predicting Tourist Demand Using Big Data; 1 Introduction; 2 What Is Tourism Big Data?; 3 Advantages of Using Big Data in Tourism; 4 Characteristics of Tourism Big Data; 5 Benefits of Big Data to Tourism Businesses; 5.1 Consumer Behavior; 5.2 Feedback Mechanisms; 6 How to Use Big Data in Tourism Forecasting
• 6.1 Capturing Big Data for Tourism Forecasting7 Selecting and Shrinking Big Data; 8 A Framework for Predicting Tourism Demand Using Big Data; 9 Conclusions; References; Travel Demand Modeling with Behavioral Data; 1 Introduction; 2 Empirical Results; 2.1 Heterogeneity in Tourists; 2.2 Choice Set; 2.3 Information Hierarchy; 3 Research Avenues; 4 Conclusions; References; Part II: Analytics in Everyday Life and Travel; Measuring Human Senses and the Touristic Experience: Methods and Applications; 1 Introduction; 2 Senses and Tourism Research; 3 Psychophysiological Foundations of Senses
• 4 Senses and Related Research4.1 Vision; 4.2 Hearing; 4.3 Smell; 4.4 Taste; 4.5 Touch; 4.6 Other Somatosensory Modalities: Movement, Temperature, and Pain; 5 Capturing Travelerś Senses: Challenges and Possible Solutions; 6 Conclusions; References; The Quantified Traveler: Implications for Smart Tourism Development; 1 Introduction; 2 Emergence of the Quantified Traveler and Wearable Technologies; 2.1 The Quantified Traveler and Context-Awareness; 2.2 The Quantified Traveler and Ordinary Life; 3 The Quantified Traveler and Smart Tourism Development; 4 Conclusion; References
• Part III: Tourism GeoanalyticsGeospatial Analytics for Park and Protected Land Visitor Reservation Data; 1 Introduction; 2 Working with PPL Reservation Data Sets; 2.1 Lessons from Private Sector Tourism; 2.2 Preprocessing and Enriching PPL Reservation Data; 2.2.1 Enrichment from Visitor Origin Geography; 2.2.2 Enrichment of PPL Destinations Attributes; 2.3 Data Reduction and Geographic Data Mining; 2.4 Utilizing Information Generated from Geographic Data Mining; 2.5 Geovisualization for Pattern Interpretation of PPL Demand Populations
• 2.6 Geovisualization for Pattern Interpretation of PPL Destinations3 U.S. Federally Managed PPL Reservation Data Set Example; 4 Geovisualizations for U.S. Federally Managed PPLs; 5 The Past, Present and Future of U.S. Federally Managed PPL Reservation Data; 6 Conclusions; References; GIS Monitoring of Traveler Flows Based on Big Data; 1 Introduction; 2 Literature Review; 3 Tourist Flow Analysis; 4 GIS Analysis of Tourist Flows; 5 Methodology; 6 Data Description; 7 Results; 8 Conclusions; References; Part IV: Web and Social Media Analytics: Concepts and Methods