摘要
以创新旅游目的地评价方法为目的,基于旅游网络评论数据,从旅游目的地发展规模和质量两个维度构建旅游目的地关注度—满意度分析(ASA)模型.整合国内8大在线旅游平台评论数据,采集全国23 496个景点的1 368 052条有效评论,建立我国大陆31个省市自治区基础数据库.通过模型化和可视化的方法对省域旅游目的地发展水平进行分析,结果显示:1)网络旅游关注度呈现长尾和极化特征,约80%的在线旅游评论集中在10%的核心旅游景点;核心旅游景点空间聚集度呈现出由高到低的"东—中—西"格局;2)不同类型景点在网络关注度和满意度上均有明显差异,且游客对不同类型景点具有不同的正负面情感特征.基于上述特征分析,结合31个省市自治区ASA定位分析结果,提出了我国大陆31个省市自治区旅游发展优化路径.
In order to innovate the research method of tourism destination evaluation, this paper evaluates tourism destination from two dimensions, i.e. scale and quality, and proposes an Attention-Satisfaction Analysis （ASA） model based on tourism web text. 1,368,052 effective comments of 23,496 tourist attractions are collected and a foundation database of 31 provinces in China's Mainland is founded by integrating the comments from 8 main online travel platforms. The development level of provincial tourism destination is analyzed by modeling and visualization. The analysis result shows that： 1） network tourism attention rates present long-tail distribution and polarization characteristics, approximately 10Y0 hot tourist attractions accounting for 80~ online travel comments; spatia concentration of popular tourist attractions decreases from eastern regions to central regions and differences between different kinds of then to western regions; 2） there are significant tourist attractions in terms of online tourism at tention and satisfaction rate; tourists hold different positive and negative emotional characteristics to different types of tourist attractions. Based on the analysis of the char acteristics and the ASA positioning analysis result of 31 provinces, the tourism develop ment optimization path is put forward for 31 provinces in China mainland.
作者
龚箭
杨舒悦
GONG Jian;YANG Shuyue(College of Urban and Environmental Science, Central China Normal University, Wuhan 400079, China;Wuhan Branch of China Tourism Academy, Wuhan 430079, China)
出处
《华中师范大学学报（自然科学版）》
CAS
北大核心
2018年第2期279-286,共8页
Journal of Central China Normal University：Natural Sciences
基金
国家社会科学基金重点项目(14AJY024)
教育部哲学社会科学发展报告项目(11JBGP041)
