Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Analysis on Application of Big Data in Intelligent Tourism

Authors
Gangzhi Guo
Corresponding Author
Gangzhi Guo
Available Online September 2016.
DOI
10.2991/icence-16.2016.30How to use a DOI?
Keywords
Big data, Intelligent tourism.
Abstract

Big data, Internet of Things and cloud computing technology develop like a raging fire. Each industry is looking for the strategy to apply big data in industrial development. Traditional tourism industry also pays attention to application of big data technology in the process of intelligent tourism transformation. Guiding Idea on Promoting Development of Intelligent Tourism issued by National Tourism Administration in 2015 indicates that modern tourism should implement ticket appointment system, predict the crowdedness degree of scenic spot and improve tourist comfort level evaluation requirement. With ticket appointment system, administrative department of scenic spot can know future flow rate of visitors in the scenic spot in advance, process collected data information, accurately predict crowdedness degree of scenic spot, and formulate reasonable decisions, which contributes to improving tourist comfort level. To achieve these objectives, massive data should be analyzed and processed. Thus, the application of big data in tourism industry is a general trend.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
10.2991/icence-16.2016.30How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Gangzhi Guo
PY  - 2016/09
DA  - 2016/09
TI  - Analysis on Application of Big Data in Intelligent Tourism
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 142
EP  - 146
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.30
DO  - 10.2991/icence-16.2016.30
ID  - Guo2016/09
ER  -