Analyzing correlation between attractions in Multi-attractions destination using complex network: The case of Happy Valley

Li Xueying; Duan Shuhuai; Zheng Weimin; Ren Peiyu

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Analyzing correlation between attractions in Multi-attractions destination using complex network: The case of Happy Valley

Li Xueying 1,Duan Shuhuai 1,Zheng Weimin 2,Ren Peiyu 1 *

1.Business School, Si Chuan University, Chengdu 610065

2.Tourism School, Xia Men University,Xia Men 361005

*Correspondence author

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Funding: none

Opened online:18 May 2016

Accepted by: none

Citation: Li Xueying,Duan Shuhuai,Zheng Weimin.Analyzing correlation between attractions in Multi-attractions destination using complex network: The case of Happy Valley[OL]. [18 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4687150

This paper presents a new model to analyze correlation between attractions in Multi-attractions destination with the help of methodologies derived from complex network, which is vital for destination manager to solve congestion fundamentally by planning the structure of destination's network more appropriately. More precisely, this study put forward the argument that arrangements of network structure affect the movement pattern of tourists by measuring the correlation between nodes .A case study of Chengdu's Happy Valley has verified the argument is applicative. The result obtained show that if the correlation between nodes in the physical structure is higher, the two attractions that the nodes represent will be closer. As a result, the possibility that these two attractions are visited before and after will be higher.

Keywords:Multi-attractions Destination, Complex Network, Correlation Between Attractions, Finite Markov Chain

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