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Analytics in Smart Tourism Design

Concepts and Methods

  • Zheng Xiang
  • Daniel R. Fesenmaier

Part of the Tourism on the Verge book series (TV)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Zheng Xiang, Daniel R. Fesenmaier
    Pages 1-10
  3. Travel Demand Analytics

    1. Front Matter
      Pages 11-11
    2. Haiyan Song, Han Liu
      Pages 13-29
    3. Juan L. Nicolau
      Pages 31-43
  4. Analytics in Everyday Life and Travel

    1. Front Matter
      Pages 45-45
    2. Jeongmi (Jamie) Kim, Daniel R. Fesenmaier
      Pages 47-63
    3. Yeongbae Choe, Daniel R. Fesenmaier
      Pages 65-77
  5. Tourism Geoanalytics

    1. Front Matter
      Pages 79-79
    2. Stacy Supak, Gene Brothers, Ladan Ghahramani, Derek Van Berkel
      Pages 81-109
    3. Dong Li, Yang Yang
      Pages 111-126
  6. Web and Social Media Analytics: Concepts and Methods

    1. Front Matter
      Pages 127-127
    2. Wolfram Höpken, Matthias Fuchs, Th. Menner, Maria Lexhagen
      Pages 129-146
  7. Case Studies in Web and Social Media Analytics

    1. Front Matter
      Pages 213-213
    2. Andrei P. Kirilenko, Svetlana O. Stepchenkova
      Pages 215-234
    3. Selina Wan, Rob Law
      Pages 235-252
    4. Elena Marchiori, Lorenzo Cantoni
      Pages 253-279
    5. Zheng Xiang, Zvi Schwartz, Muzaffer Uysal
      Pages 281-295
  8. Closing Remarks

    1. Front Matter
      Pages 297-297
    2. Zheng Xiang, Daniel R. Fesenmaier
      Pages 299-307

About this book

Introduction

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.

Keywords

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

Editors and affiliations

  • Zheng Xiang
    • 1
  • Daniel R. Fesenmaier
    • 2
  1. 1.Department of Hospitality and Tourism ManagementVirginia Polytechnic Institute and State UniversityBlacksburgUSA
  2. 2.National Laboratory for Tourism & eCommerce Department of Tourism, Recreation and Sport ManagementUniversity of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-44263-1
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-44262-4
  • Online ISBN 978-3-319-44263-1
  • Series Print ISSN 2366-2611
  • Series Online ISSN 2366-262X
  • Buy this book on publisher's site