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基于百度指数的温泉旅游网络关注度时空特征研究
引用本文:何小芊,刘宇,吴发明.基于百度指数的温泉旅游网络关注度时空特征研究[J].地域研究与开发,2017,36(1).
作者姓名:何小芊  刘宇  吴发明
作者单位:1. 东华理工大学 地质资源经济与管理研究中心,南昌330013;东华理工大学 资源与环境经济研究中心,南昌330013;2. 东华理工大学 地球科学学院,南昌,330013
基金项目:江西省高校人文社会科学研究项目,东华理工大学地质资源经济与管理研究中心开放基金重点项目,东华理工大学博士科研启动基金项目
摘    要:旅游网络关注度是旅游者需求状况和行为习惯在网络上的直观表现。基于百度指数,运用变异系数、基尼系数、相关系数等统计分析指标,研究我国温泉旅游网络关注度的时空特征。结果表明:温泉旅游在网络上的关注度较高,但总体呈现下降的态势;月变化曲线呈"U"型,周变化曲线呈倒"V"型;"黄金周"期间温泉旅游网络关注度先升后降,"五一"假期前2天达到高峰随后下降,"五一"高峰比"十一"提前1~2天,春节比"十一"推迟1天。温泉旅游网络关注度的省际差异明显,差异度呈上升趋势,关注度较高的省份集中在东部经济发达地区;东部、中部、西部地区内部的关注度存在差异,西部地区内部差异最大。国内温泉旅游是一种非天然温泉依赖型旅游活动,区域经济发展水平决定了温泉旅游的发展程度,温泉旅游网络关注度的空间差异是区域温泉旅游发展程度、人民收入水平和获取旅游信息方式共同作用的结果。

关 键 词:百度指数  温泉旅游  网络关注度  时空特征

Analysis on Temporal and Spatial Characteristics of Network Attention of Hot Spring Tourism Based on Baidu Index
He Xiaoqian,Liu Yu,Wu Faming.Analysis on Temporal and Spatial Characteristics of Network Attention of Hot Spring Tourism Based on Baidu Index[J].Areal Research and Development,2017,36(1).
Authors:He Xiaoqian  Liu Yu  Wu Faming
Abstract:Network attention of tourism is intuitive performance of tourists demand conditions and behavior habit on the network. Based on Baidu index,using the statistical analysis indicators of variation coefficient,Gini coefficient and correlation coefficient,this paper analyze temporal and spatial characteristics of network attention of hot spring tourism in China. The results show that:The network attention of hot spring tourism is a higher degree and shows the tendency of decline. The monthly changes shows U-shaped curve and the weekly changes curve inverted V shape. The network attention of hot spring tourism increased first and decreased afterwards in Golden Week holiday. The network attention of hot spring tourism reached the peak in the first two days before the May Day holiday and then fell. The peak of network attention in May Day holiday move up 1 to 2 days than National Day holiday. The peak of network at-tention in Spring Festival holiday put off one day than National Day holiday. The provincial difference of network at-tention is obvious and the degree of difference is on the rise. The provinces with higher attention concentrate on eco-nomically developed eastern areas. The difference degree of network attention in the western region is maximum and the central region is minimum. Researches indicated that:Hot spring tourism break away from natural hot spring re-source in domestic. The level of regional economic development decides the development of hot spring tourism. The spatial difference of network attention of hot spring tourism is the result of joint action of difference degree on regional hot spring tourism development,people's income level and the way to get travel information.
Keywords:Baidu index  hot spring tourism  network attention  temporal and spatial characteristics
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