摘要
互联网背景下,网络营销对旅游市场开发具有统计学意义和应用指导价值。以广西龙头旅游城市桂林为研究对象,基于百度指数研究其旅游网络关注度的时空变化特征,并以此为依据利用波士顿矩阵法进行市场类型划分。结果表明:除特殊年份外,桂林市旅游网络关注度的年际变化总体上呈现出不断增长的趋势,月份变化总体.上趋于平缓且表现为“波浪形”的变化特征,“五一”和“十一”重要节假日的桂林旅游网络关注度出现峰值前置的共性;市场类型划分显示明星市场包括安徽、山东、河北、河南湖南,金牛市场包括北京、上海、浙江、四川、广西、广东、湖北、福建、江苏、辽宁,问题市场包括重庆、江西、贵州、青海、新疆、甘肃、云南、西藏,瘦狗市场包括陕西、山西、黑龙江、吉林、内蒙古、天津、宁夏、海南;基于网络关注度的桂林旅游市场发展战略应从加强旅游基础设施建设、构建旅游特色产品体系、加大旅游网络宣传力度等方面着手。
Under the background of internet,network marketing has statistical significance and application value for tourism market development.Taking Guilin,the leading tourist city in Guangxi as the research object,this paper studies the spatio-temporal change characteristics of the attention degree of the tourism network based on the Baidu Index,and divides the market types by using the Boston Matrix method.The results show that,except for the special years,the interannual change of Guilin tourism network attention shows a growing trend,and the monthly change tends to be smooth and shows the characteristics of“wave shape”,the attention of Guilin tourism network for important holidays such as the May Day holiday and the National Day holiday show's the common features of the peak;the market types show that the star markets include Anhui,Shandong,Hebei,Henan and Hunan,golden bull markets include Beijing,Shanghai,Zhejiang,Sichuan,Guangxi,Guangdong,Hubei,Fujian,Jiangsu and Liaoning,problem markets include Chongqing,Jiangxi,Guizhou,Qinghai,Xinjiang,Gansu,Yunnan,Tibet,and lean dog markets include Shaanxi,Shanxi,Heilongjiang,Jilin,Inner Mongolia,Tianjin,Ningxia,Hainan;The development strategy of Guilin tourism market should be based on the construction of tourism infrastructure,the construction of tourism characteristic product system and the promotion of tourism network.
作者
黄荣娟
韦福巍
董玉婷
HUANG Rongjuan;WEI Fuwei;DONG Yuting(School of Business,Hechi University,Hechi,Guangxi 546300,China)
出处
《河池学院学报》
2021年第3期81-89,共9页
Journal of Hechi University
基金
广西高校中青年教师基础能力提升项目“基于RMP分析的巴马长寿养生国际旅游区旅游开发研究”(2018KY0479)
重庆市社会科学规划项目“长江经济带旅游业生态效应测度、驱动机制与提升路径研究”(2019BS052)
校级科研项目“基于RMP分析的巴马长寿养生国际旅游区旅游开发研究”(2018LG005)
关键词
百度指数
旅游网络关注度
时空特征
桂林市
Baidu index
tourism network attention
space-time characteristics
Guilin city