2019
DOI: 10.3390/su11174732
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A Study on the Coordinative Green Development of Tourist Experience and Commercialization of Tourism at Cultural Heritage Sites

Abstract: Tourism at China's cultural heritage sites has developed rapidly in recent years. These sites have encountered many challenging problems such as poor tourist experience, over-commercialization, and loss of cultural authenticity. This study took the coordinative green development of tourist experience and commercialization of tourism (CGDTECT) at cultural heritage sites as the research objective, using two UNESCO World Heritage Sites-the Ancient City of Pingyao and West Lake Cultural Landscape of Hangzhou-and t… Show more

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Cited by 25 publications
(23 citation statements)
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“…As the core attribute of heritage tourism destinations [7], authenticity links and influences both the supply and demand sides of heritage sites [3,8]. Therefore, authenticity is widely used in the field of heritage tourism practice and tourist behaviour research (e.g., [9][10][11][12][13][14]).…”
Section: Introductionmentioning
confidence: 99%
“…As the core attribute of heritage tourism destinations [7], authenticity links and influences both the supply and demand sides of heritage sites [3,8]. Therefore, authenticity is widely used in the field of heritage tourism practice and tourist behaviour research (e.g., [9][10][11][12][13][14]).…”
Section: Introductionmentioning
confidence: 99%
“…With the emergence of global climate change and energy security, green and low-carbon development of the tourism industry has become an important way for the sustainable development of heritage sites. Some scholars have performed research on the sustainable development of heritage tourism sites from the perspective of community participation [45], tourists' behavior [74,75], and low carbon tourism products [75]. However, there are few studies on carbon emissions of tourist attractions at heritage tourist destinations currently [3,16,20,47].…”
Section: Discussionmentioning
confidence: 99%
“…Artificial Neural Network (ANN) methods have also been adopted for this purpose, such as works by Deng et al (2008) and Mikulić and Prebežac (2012). Fuzzy theory has also been used to classify service attributes into quadrants and has been used in studies, including Chu and Guo (2015) and Tang et al (2019). A ranking approach was used by Mersha and Adlakha (1992), Sampson and Showalter (1999), and Abalo et al (2016).…”
Section: Direct Measures or Indirect Measures Of Importance In Ipamentioning
confidence: 99%