2017
DOI: 10.3390/su9122291
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How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan

Abstract: 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… Show more

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Cited by 29 publications
(13 citation statements)
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References 26 publications
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“…More recently, the research stream revolving around smart tourism destinations and smart cities has underscored the importance of Big Data and analytics to effectively manage and market tourism destinations and to inform operations, services and innovation processes, at the destination level (e.g., Bakıcı et al, 2013;Batty, 2013;Becken et al, 2019;Gajdošík, 2019;Shao et al, 2017;Wise & Heidari, 2019;Xiang et al, 2015;Zeng et al, 2020). "Smart tourism" has been described as "a distinct step in the evolution of ICT in tourism in that the physical and governance dimensions of tourism are entering the digital playing field, new levels of intelligence are achieved in tourism systems" (Gretzel et al, 2015: 180) as the ways in which tourism experiences are created, consumed and shared are different.…”
Section: Big Data and Big Data Analytics For Destination Management And Innovation And Smart Tourism Destinationsmentioning
confidence: 99%
See 1 more Smart Citation
“…More recently, the research stream revolving around smart tourism destinations and smart cities has underscored the importance of Big Data and analytics to effectively manage and market tourism destinations and to inform operations, services and innovation processes, at the destination level (e.g., Bakıcı et al, 2013;Batty, 2013;Becken et al, 2019;Gajdošík, 2019;Shao et al, 2017;Wise & Heidari, 2019;Xiang et al, 2015;Zeng et al, 2020). "Smart tourism" has been described as "a distinct step in the evolution of ICT in tourism in that the physical and governance dimensions of tourism are entering the digital playing field, new levels of intelligence are achieved in tourism systems" (Gretzel et al, 2015: 180) as the ways in which tourism experiences are created, consumed and shared are different.…”
Section: Big Data and Big Data Analytics For Destination Management And Innovation And Smart Tourism Destinationsmentioning
confidence: 99%
“…For instance, Shao et al (2017) illustrate how big data from travel blogs on Huashan (China), can assist destination managers to learn about travel behaviors. The authors mine data about the destination from travelers' UGC created on the Ctrip and Mafengwo websites.…”
Section: Big Data and Big Data Analytics For Destination Management And Innovation And Smart Tourism Destinationsmentioning
confidence: 99%
“…The research of “traditional” travel blogs has mainly focused on the semantic analysis of text, such as the image perception of destination ( Leung, Law, & Lee, 2010 ) and the emotional information provided by the tourists ( Shao, Chang, & Morrison, 2017 ). With the enhancement of the location characteristics of travel blog data, scholars have recently begun to use this locational information for analysing the spatio-temporal behavior of tourists.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Another common research stream is to analyze the temporal and spatial changes of tourists' behavior from the geospatial perspective. For instance, Li et al (2011) , Shao, Chang, and Morrison (2017) and Yang, Wu, Liu, and Kang (2017) have, respectively, utilized kernel density estimation, spatial clustering and exploratory spatial data techniques for these types of analysis. With the emergence of tourism data with strong locational characteristics (such as GPS tracking, geo-tagged photos, geo-located travel blogs, etc.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Blog monitoring is a cost-effective method for destination marketers to examine the competitiveness and positioning of their areas. Blogs are uncensored and rich expressions of visitors' travel experiences and are becoming accepted as meaningful data in tourism research to extrapolate tourist spatial and social behaviors [65]. They are not only an important channel for collecting visitors' feedback, but also can be a service quality control mechanism.…”
Section: Tourist Blogs and Content Analysismentioning
confidence: 99%