基于QAP算法的游客信息搜索动因研究  

DYNAMICAL FACTOR ON TOURISTS INFORMATION SEARCHING WITH QAP ALGORITHM

作　　者：田里[1] 刘莎[1] 

机构地区：[1]云南大学工商管理与旅游管理学院,云南昆明650500

出　　处：《云南地理环境研究》2016年第1期73-78,共6页Yunnan Geographic Environment Research

基　　金：云南大学第七届研究生科研创新基金"智慧旅游背景下景区对游客管理模式创新研究--以世界文化遗产丽江古城为例"(YNUY201429)

摘　　要：旅游信息搜索是游客购买旅游产品过程的首要步骤之一。随着网络技术的不断发展和智慧旅游建设工作的深化,互联网信息已成为游客信息搜索过程中的首要信息源。通过百度指数得到了游客对中国西南地区26个国家5A级景区的搜索数据,利用UCINET构建信息搜索网络,构建了影响游客信息搜素网络的模型,并基于二次迭代分配(QAP)算法,从关系数据视角探讨了影响游客搜索旅游信息的因素。研究发现,景区间距离差值矩阵和对游客信息搜素网络具有显著的反向作用,景区网站效用差值矩阵具有显著的正向作用,门票价格对游客信息搜素行为影响较弱。Tourism information search is one of the steps when tourists want to buy products. With the continuous development of network technology and the deepening of the construction of the Smart Tourism,Internet information has been the main source of information in the process of searching information. We have received the search data of visitors to the 26 National 5A scenic spot in southwest area through the Baidu Index,then constructing the network information search and a model of Influencing tourist information Search Network by using UCINET. Finally,based on the Quadratic assignment（ QAP） iterative algorithm,we discussing the influencing factors of tourist information search from the perspective of relationship data. The study found the distance difference to the sum of matrices between scenic spots has been a notable negative effect to the network of tourist information search,the scenic site utility difference matrix has significant positive effect,and the prices of ticket influences the behavior of tourists information search weakly.

关 键 词：智慧旅游 游客信息搜索 二次迭代分配算法 社会网络 

分 类 号：F59[经济管理—旅游管理]