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Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management
Joint Authors
Qin, Siyang
Man, Jie
Wang, Xuzhao
Li, Can
Dong, Honghui
Ge, Xinquan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Considering the rapid development of the tourist leisure industry and the surge of tourist quantity, insufficient information regarding tourists has placed tremendous pressure on traffic in scenic areas.
In this paper, the author uses the Big Data technology and Call Detail Record (CDR) data with the mobile phone real-time location information to monitor the tourist flow and analyse the travel behaviour of tourists in scenic areas.
By collecting CDR data and implementing a modelling analysis of the data to simultaneously reflect the distribution of tourist hot spots in Beijing, tourist locations, tourist origins, tourist movements, resident information, and other data, the results provide big data support for alleviating traffic pressure at tourist attractions and tourist routes in the city and rationally allocating traffic resources.
The analysis shows that the big data analysis method based on the CDR data of mobile phones can provide real-time information about tourist behaviours in a timely and effective manner.
This information can be applied for the operation management of scenic areas and can provide real-time big data support for “smart tourism”.
American Psychological Association (APA)
Qin, Siyang& Man, Jie& Wang, Xuzhao& Li, Can& Dong, Honghui& Ge, Xinquan. 2019. Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1146574
Modern Language Association (MLA)
Qin, Siyang…[et al.]. Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1146574
American Medical Association (AMA)
Qin, Siyang& Man, Jie& Wang, Xuzhao& Li, Can& Dong, Honghui& Ge, Xinquan. Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1146574
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1146574