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Sustainability 2017, 9(12), 2291; doi:10.3390/su9122291

How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan

1
School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China
2
Department of Tourism and Scenic Area Planning & Research, Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China
3
School of Hospitality and Tourism Management, Purdue University, West Lafayette, IN 47907, USA
*
Author to whom correspondence should be addressed.
Received: 30 October 2017 / Revised: 6 December 2017 / Accepted: 7 December 2017 / Published: 9 December 2017
(This article belongs to the Special Issue Mobile Technology and Smart Tourism Development)
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Abstract

Data from travel blogs represent important travel behavior and destination resource information. Moreover, technological innovations and increasing use of social media are providing accessible ‘big data’ at a low cost. Despite this, there is still limited big data analysis for scenic tourism areas. This research on Huashan (Mount Hua, China) data-mined user-contributed travel logs on the Mafengwo and Ctrip websites. Semantic analysis explored tourist movement patterns and preferences within the scenic area. GIS provided a visual distribution of blogger origins. The relationship between Huashan and adjoining tourism areas revealed a multi-destination pattern of tourist movements. Emotional analysis indicated tourist satisfaction levels, while content analysis explored more deeply into dissatisfying aspects of tourist experiences. The results should provide guidance for scenic areas in destination planning and design. View Full-Text
Keywords: travel blogs; big data; smart destination management; scenic areas; Huashan; China; data mining; GIS travel blogs; big data; smart destination management; scenic areas; Huashan; China; data mining; GIS
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Shao, J.; Chang, X.; Morrison, A.M. How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan. Sustainability 2017, 9, 2291.

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