Research on the Optimal Matching of Scenic Resources and Tourist Demand under the GS Algorithm

被引：0
|
作者：
Huang Yong [1 ]
Zhu Ronghua [1 ]
Li Chonghui [2 ]
Li Hongjuan [3 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
[2] Sichuan Normal Univ, Coll Arts & Sci, Chengdu 610110, Peoples R China
[3] Beijing Normal Univ, Chendu Expt Middle Sch, Chengdu 610017, Peoples R China
来源：
STRATEGY IN EMERGING MARKETS: MANAGEMENT, FINANCE AND SUSTAINABLE DEVELOPMENT | 2014年
关键词：
scenic resources; tourist demand; optimal matching; GS algorithm; E-commerce;
D O I：
暂无
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
In recent years, during the Golden Week, some hottest scenic spots are overcrowded, visitors are scarce in other less popular ones, which reflects the problem of the serious mismatch between scenic resources and tourist demand. As a matter of fact, the mismatch Problem reflects tourism information management. As an algorithm of College Admissions, Gale-Shapley (GS) algorithm is proved to be fair and anti-manipulation, satisfy individual rationality and have no waste, which can be used to solve the mismatch problem mentioned above. Based on the GS algorithm and the realities of the Golden Week tourism in China, we propose a solution of "optimal matching between scenic resources and tourist demand" with the idea of tourism e-commerce.
引用
收藏
页码：727 / 734
页数：8
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