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Analytics in Tourism Design Read chapter Read first chapter

2017 | OriginalPaper | Chapter

GIS Monitoring of Traveler Flows Based on Big Data

Authors : Dong Li, Yang Yang

Published in: Analytics in Smart Tourism Design

Publisher: Springer International Publishing

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Abstract

This chapter reports on a study that employs geo-tagged data from Sina Weibo to investigate the spatial pattern of Chinese domestic tourist flows during the National Day Golden Week in 2014. Based on a dyadic matrix of inter-province tourist flows, the results show that the Weibo data is highly correlated with the official tourism statistics. Factor analysis unveils several spatially independent fields of tourist flows in China, such as the area around Beijing as well as the regions in the East, Southwest, Northwest, Northeast, and Central South. Furthermore, the estimation results from the negative binomial spatial interaction model highlight several determinants of tourist flows, including the distance between the origin and destination, the size of economies in the origin and destination, the hotel infrastructure in the destination, and the number of world heritage sites and AAAA scenic spots in the destination areas.

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previous chapter Geospatial Analytics for Park & Protected Land Visitor Reservation Data
next chapter Sensing the Online Social Sphere Using a Sentiment Analytical Approach
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Metadata
Title
GIS Monitoring of Traveler Flows Based on Big Data
Authors
Dong Li
Yang Yang
Copyright Year
2017
Book
Analytics in Smart Tourism Design

Print ISBN: 978-3-319-44262-4

Electronic ISBN: 978-3-319-44263-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-44263-1_7