本文關(guān)鍵詞：旅游景區(qū)網(wǎng)絡(luò)關(guān)注度時空分布特征分析，由筆耕文化傳播整理發(fā)布。

旅游景區(qū)網(wǎng)絡(luò)關(guān)注度時空分布特征分析

Spatial and Temporal Features of Network Attention of Scenic Areas

[1] [2] [3] [4]

LIN Zhihui, MA Yaofeng, LIU Xianfeng, GAO Nan （College of Tourism and Environment, Shaanxi Normal University, Xi＇ an ？ 10062, China）

陜西師范大學(xué)旅游與環(huán)境學(xué)院,西安710062

文章摘要：2011年6月，中國旅游總評榜組委會公布了中國旅游業(yè)第一份百強(qiáng)景區(qū)排行榜，這100個景區(qū)代表了中國旅游景區(qū)的最高水平，也是游客最青睞的景區(qū)，因此成為網(wǎng)絡(luò)空間最受關(guān)注的旅游搜索對象。文章選取前47個景區(qū)為研究對象，基于百度指數(shù)搜索平臺，獲取了47個景區(qū)2010年1月1日到12月31日逐日網(wǎng)絡(luò)空間關(guān)注度數(shù)據(jù)，對其周內(nèi)分布和季節(jié)性分布進(jìn)行實(shí)證分析。研究發(fā)現(xiàn)旅游景區(qū)網(wǎng)絡(luò)關(guān)注度在時空分布上具有以下特征：①以周時段考察呈現(xiàn)波動態(tài)勢，表現(xiàn)為平日高、周末低，周三最高，周六最低，南方景區(qū)網(wǎng)絡(luò)空間關(guān)注度高于北方景區(qū)；②季節(jié)性表現(xiàn)為4月和9月高的“雙峰”特征，旺季是4、6、7、8、9、10、11月，，平季是3、5、12月，淡季是1月和2月，與現(xiàn)實(shí)旅游流相比具有旺季長，淡季短的特點(diǎn)。北方景區(qū)的波谷出現(xiàn)在6月，而南方景區(qū)出現(xiàn)在5月，南方景區(qū)較北方景區(qū)季節(jié)性波動更大；③黃金周呈現(xiàn)明顯“井噴現(xiàn)象”，網(wǎng)絡(luò)關(guān)注度均偏向黃金周前期，且“十一”期間較“五一”期間偏向更明顯。

Abstr：Many people engage in internet and electronic commerce, and more people are using the internet to obtain travel information, select destinations and make plans. Tourists in search of information often use search engines such as Baidu and Google, accounting for 65.7% and 20.6% of searches respectively. This paper studies the spatial and temporal distribution of network attention with the purpose of providing beneficial references to the network marketing of scenic areas. The Top 100 Scenic Areas was announced by the Tourism Assess Committee of China in June 2011. These scenic spots are the most popular scenic spots, and therefore become the most popular travel search objects in network space. This article is based on the Baidu Index search platform and used everyday network attention data for 47 Scenic Areas from 1 January to 31 December 2010. We focused on 47 scenic areas and their weekly distribution and seasonal distribution. Results show that the weekly distribution fluctuates, and the performance is high on weekdays （peak on Wednesday） and low on weekends （minimum on Saturday）. The network attention of southern scenic spots is higher than northern locations. The seasonal fluctuation of the 47 scenic areas can be divided into three types： single-peak, 2-peak-2-valley, and 3-peak-3-valley. The peak of single peak areas appears in April or September. Most scenic areas are 2-peak-2-valley, and the peak always appears in September and April. For old town scenic areas such as Zhouzhuang, Wuzhen, Tongli, Fenghuang and Xitang, seasonal differences are similar to the 3-peak-3-valley pattern. The wave troughs of northem scenic spots appeared in June, but for southern ones appeared in May, and the southem sce

文章關(guān)鍵詞：

Keyword：:Baidu index Scenic areas Network attention Spatial and temporal distribution

課題項(xiàng)目：國家自然科學(xué)基金項(xiàng)目：“旅游流與目的地耦合：因素及模型與機(jī)制研究一六大城市入境旅游為例”（編號：41271158）;國家自然科學(xué)基金項(xiàng)目：“基于客流跟蹤的旅華游客目的地意象認(rèn)知研究”（編號：40901077）;國家自然科學(xué)基金項(xiàng)目：“區(qū)域旅游流對旅游網(wǎng)絡(luò)信息的時空響應(yīng)研究”（編號：41001077）;西安市社會科學(xué)基金項(xiàng)目：“西安國際旅游目的地形象體系研究”（編號：10W09）;陜西師范大學(xué)研究生培養(yǎng)創(chuàng)新基金：“入境旅游流與目的地城市耦合機(jī)制研究一以西安市為例”（編號：2012CXB008）.

  本文關(guān)鍵詞：旅游景區(qū)網(wǎng)絡(luò)關(guān)注度時空分布特征分析，由筆耕文化傳播整理發(fā)布。