DocumentCode
2754242
Title
Assessment on the Red-Tourism Development Potential in Xinxian County of China
Author
Li-fang, Qiao ; Lian-fang, Yao ; Tao, Jiao ; Yi-chuan, Zhang
Author_Institution
Sch. of Landscape Archit., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear
2009
fDate
17-20 April 2009
Firstpage
55
Lastpage
58
Abstract
Xinxian county of China has rich red-tourism resources. Assessment on red-tourism development potential can guide the tourism planning and promote the sustainable red-tourism development. This study applied AHP (analytic hierarchy process) method and fuzzy clustering to the assessment on red-tourism development potential. The 28 main scenic spots of red-tourism in Xinxian county of China were categorized based on this method. Assessment model consist five factors: scenic spot scale, scenic spot integrity, historical event influence, traffic condition and tourism infrastructure. The results show that: according to this model, the 28 main scenic spots of red-tourism in Xinxian county can be divided into two classes, one has sound tourism development potential, and many of them are already the provincial protected historic site or municipal protected historic site, and they can be linked to form a red-tourism line with high quality. The other has a relatively low mark, and distribute unevenly, so tourism development to these resources is not inapposite now. Compare to the traditional fuzzy clustering, the class distinctions are more reasonable after the weights of influencing factors are taken into account, and this method has a far-ranging application in assessment on development potential of other tourism.
Keywords
fuzzy set theory; pattern clustering; planning; travel industry; China; Xinxian County; analytic hierarchy process; fuzzy clustering; historical event influence; red-tourism development; scenic spot integrity; scenic spot scale; tourism infrastructure; tourism planning; traffic condition; Concrete; Data analysis; Fuzzy sets; Mathematics; Pattern analysis; Pattern recognition; Protection; Traffic control; Unsupervised learning; Analytic Hierarchy Process; assessment; development potential; fuzzy clustering; red-tourism;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Financial Engineering, 2009. ICIFE 2009. International Conference on
Conference_Location
Singapore
Print_ISBN
978-0-7695-3606-4
Type
conf
DOI
10.1109/ICIFE.2009.20
Filename
5189968
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