[1]曾月娥,陈晓颖,李子蓉.基于百度指数的景区旅游网络关注度时空特征——以武夷山景区为例[J].泉州师范学院学报,2019,(06):101-108.
 ZENG Yue'e,CHEN Xiaoying,LI Zirong.A Study on the Spatial and Temporal Characteristics of Tourism Network in Scenic Spots Based on Baidu Index:Taking Wuyishan Scenic Area as an Example[J].,2019,(06):101-108.
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基于百度指数的景区旅游网络关注度时空特征——以武夷山景区为例()
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《泉州师范学院学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年06期
页码:
101-108
栏目:
旅游管理
出版日期:
2019-12-15

文章信息/Info

Title:
A Study on the Spatial and Temporal Characteristics of Tourism Network in Scenic Spots Based on Baidu Index:Taking Wuyishan Scenic Area as an Example
文章编号:
1009-8224(2019)06-0101-08
作者:
曾月娥陈晓颖李子蓉
泉州师范学院 资源与环境科学学院,福建 泉州 362000
Author(s):
ZENG Yue'eCHEN XiaoyingLI Zirong
School of Resource and Environmental Science,Quanzhou Normal University,Fujian 362000, China
关键词:
百度指数 旅游 网络关注度 时空特征 武夷山
Keywords:
baidu index tourism network attention time and space characteristics Wuyishan scenic area
分类号:
K901
文献标志码:
A
摘要:
旅游网络关注度是用户旅游需求通过互联网的一种表现.文章基于百度指数,运用季节性集中指数、地理集中指数和相关系数法研究武夷山旅游的网络关注度时空特征.结果显示:武夷山旅游在互联网上受到的关注度较高,但2013-2017年总体呈下降趋势.武夷山旅游网络关注度季节差异性明显,月变化曲线呈倒“V”型; 周变化曲线呈“一”字型; “五一”“十一”对武夷山旅游的网络关注度呈现呈先升后降趋势,“春节”对武夷山旅游的网络关注度呈现“”型趋势,在除夕网络关注度降到最低,初一快速上升,初四过后网络关注度又回落.武夷山旅游网络关注度的空间差异明显,地理分布较集中,且集中程度不断增加; 与地区生产总值、居民人均可支配收入、互联网普及率呈正相关; 与空间距离呈负相关.
Abstract:
The attention of tourism network is a reflection of user demand through network.Based on the baidu index, this paper uses the seasonal concentration index, geographical concentration index and correlation coefficient method to study the spatial and temporal characteristics of Wuyishan tourism.The results show that Wuyishan tourism has a high level of online attention, but the overall trend is decreasing.The monthly change curve of Wuyishan tourism network is inverted“V”and the seasonal difference is obvious; the weekly variation curve is“one”; in “May Day” and “The National Day”it shows the online attention of Wuyishan tourism on the first rise and then downward trend.On“Spring Festival”it shows the trend of the online attention of Wuyishan tourism.On the New Year's eve network attention to the lowest, the first rapid rise, after the first four, the network attention has come down again.The spatial difference of the tourism network of Wuyishan is obvious, the geographical distribution is more concentrated, and the concentration degree is increasing continuously.It is positively correlated with regional GDP, per capita disposable income, internet penetration and space distance.

参考文献/References:

[1] 曾铭.基于百度指数的A级景区网络关注度时空特征研究:以湖南省景区为例[J].绿色科技,2017,8(11):248-250.
[2] 李世霞,田至美.基于百度指数的旅游目的地网络关注度影响因素分析:以青岛为例[J].首都师范大学学报(自然科学版),2014,32(1):56-59.
[3] 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):103-108.
[4] 程钰婷,李悦铮,江海旭.主题公园旅游地网络关注度时空特征及影响因素研究:以长隆欢乐世界为例[J].云南地理环境研究,2017,29(4):65-71.
[5] 林志慧,马耀峰,刘宪锋,等.旅游景区网络关注度时空分布特征分析[J].资源科学,2012,36(12):2427-2433.
[6] 黄先开,张丽峰,丁于思.百度指数与旅游景区游客量的关系及预测研究:以北京故宫为例[J].旅游学刊,2013,28(11):93-100.
[7] 尹楠.武夷山风景区旅游发展的现状研究[J].绿色科技,2013,4(5):268-269.
[8] 佘赛芬,骆培聪,张莹莹,等.武夷山市旅游气候舒适度与客流量变化相关性分析[J].泉州师范学院学报,2012,19(2):52-57.
[9] 骆培聪,张明锋.福建丹霞地貌旅游景区客流时间分布特性及其影响因素[J].地理科学,2010,29(3):377-383.
[11] 陈芸,田良.海南入境季节性特征与调控措施[J].人文地理,2013,29(5):140-143.
[12] 孔小琴.基于百度指数的旅游关注度时空特征及其驱动机制研究:以西藏林芝为例[J].无锡商业职业技术学院学报,2017,17(2):39-45.

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备注/Memo

备注/Memo:
收稿日期:2019-07-17
作者简介:曾月娥(1988-),女,福建惠安人,副教授,博士,主要从事人文地理学研究.
基金项目:福建省社会科学规划项目(FJ2016C046)
更新日期/Last Update: 2019-12-15