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Analytics in Smart Tourism Design

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Cover of 'Analytics in Smart Tourism Design'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Analytics in Tourism Design
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    Chapter 2 Predicting Tourist Demand Using Big Data
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    Chapter 3 Travel Demand Modeling with Behavioral Data
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    Chapter 4 Measuring Human Senses and the Touristic Experience: Methods and Applications
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    Chapter 5 The Quantified Traveler: Implications for Smart Tourism Development
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    Chapter 6 Geospatial Analytics for Park & Protected Land Visitor Reservation Data
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    Chapter 7 GIS Monitoring of Traveler Flows Based on Big Data
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    Chapter 8 Sensing the Online Social Sphere Using a Sentiment Analytical Approach
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    Chapter 9 Estimating the Effect of Online Consumer Reviews: An Application of Count Data Models
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    Chapter 10 Tourism Intelligence and Visual Media Analytics for Destination Management Organizations
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    Chapter 11 Online Travel Reviews: A Massive Paratextual Analysis
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    Chapter 12 Conceptualizing and Measuring Online Behavior Through Social Media Metrics
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    Chapter 13 Sochi Olympics on Twitter: Topics, Geographical Landscape, and Temporal Dynamics
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    Chapter 14 Leveraging Online Reviews in the Hotel Industry
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    Chapter 15 Evaluating Destination Communications on the Internet
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    Chapter 16 Market Intelligence: Social Media Analytics and Hotel Online Reviews
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    Chapter 17 Big Data Analytics, Tourism Design and Smart Tourism
Overall attention for this book and its chapters
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Citations

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43 Dimensions

Readers on

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83 Mendeley
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Title
Analytics in Smart Tourism Design
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-44263-1
ISBNs
978-3-31-944262-4, 978-3-31-944263-1
Editors

Zheng Xiang, Daniel R. Fesenmaier

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 7%
Researcher 3 4%
Student > Doctoral Student 3 4%
Student > Ph. D. Student 3 4%
Lecturer 2 2%
Other 6 7%
Unknown 60 72%
Readers by discipline Count As %
Business, Management and Accounting 6 7%
Computer Science 4 5%
Economics, Econometrics and Finance 4 5%
Sports and Recreations 2 2%
Social Sciences 2 2%
Other 4 5%
Unknown 61 73%