毕业论文

打赏
当前位置: 毕业论文 > 管理论文 >

古村落旅游地网络关注度时空特征研究

时间:2018-07-20 21:24来源:毕业论文
西递宏村的网络关注度在时间上的分布特征为:5年来西递宏村的网络关注度是不断增加的;年内变动表现为分布不平均,旺季较长,淡季较短;在劳动节和国庆节等重要节庆期间

摘要:利用百度指数的信息检索功能,获取2012-2016年西递宏村每一天的网络关注度,得出其时空特征,并简要分析其影响因素,结论如下:(1)西递宏村的网络关注度在时间上的分布特征为:5年来西递宏村的网络关注度是不断增加的;年内变动表现为分布不平均,旺季较长,淡季较短;在劳动节和国庆节等重要节庆期间,节前关注度趋高,节假日期间及节后下降并趋于稳定;工作日的时候关注度高,周优尔、周末关注度低。(2)西递宏村网络关注度空间分布特征:集中趋势日益明显,位于景区所在地的安徽省及周边省区集中趋势最高,偏远地区及经济落后地区集中趋势不明显。(3)影响网络关注度年内变化最重要因素为气候因素和闲暇时间;经济的发展水平、人口因素、网络发达程度和两地间的距离因素与网络关注度的空间分布规律密切相关。25942
毕业论文关键词:古村落旅游地;网络关注度;时空特征;影响因素;西递宏村
Research on Spatial and Temporal Distribution Characteristics of Network Attention of Ancient Village Tourist Destinations
Tutor     Cui Feng
Abstract: This paper searches daily online attention situation of Xidi Hongcun between 2012 and 2016 utilizing information retrieval function of Baidu index, and explores its spatial and temporal distribution characteristics as well as influencing factors. The results are as follows. Firstly, in terms of temporal distribution, the attention of Xidi Hongcun has been constantly increasing in the past five years ; the distribution feature of variation within the year is uneven, having short off-season and long peak seasons; as for the important festivals such as Labor Day or National Day, the trend shows that attention increases before the festival, then declines and levels off during and after the festival; the feature during weeks shows that weekends are at a low ebb while weekdays are at peak time. Secondly, as for the spatial distribution characteristics, centralized tendency is increasing as a whole, among which Anhui Province and its peripheral provinces are most centralized while other remote areas and economically undeveloped areas are not so centralized. Thirdly, the influencing factors of the online attention variation within the year are mainly climate and domestic leisure holiday system; the spatial distribution of online attention is closely related to economic development level, population, network development degree as well as distance.
Key words: ancient village tourism destination; network attention; spatial and temporal distribution characteristics; influence factor; Xidi Hongcun
目  录
摘要1
关键词1
Abstract1
Key words1
一、引言2
二、区域概况、分析方法及数据来源 2
(一)区域概况 2
(二)分析方法 2
1.周内分布偏度指数3
2地理集中度指数3
(三)数据来源 3
三、西递宏村网络关注度的时空特征分析 3
(一)时间分布特征 3
1.网络关注度年际变化特征4
2.网络关注度季节性特征4
3.网络关注度节假日特征4
4.网络关注度周时段特征6
(二)空间分布特征 6
四、西递宏村网络关注度的影响因素 7
(一)时间分布影响因素 7
1.气候因素8
2.闲暇时间8
(二)空间分布影响因素 8
1.经济发展水平8
2.人口因素8
3.网络发达程度8
4.空间距离8
五、结论与建议 9
(一)结论 9
(二)建议 9
1.重视游客的个性化需求9
2.预防游客流量高峰期9
3.做好古村落旅游地的网络营销  9
4.采用多样化的营销策略 10
致谢10
参考文献11
 古村落旅游地网络关注度时空特征研究以世界文化遗产西递、宏村为例 古村落旅游地网络关注度时空特征研究:http://www.youerw.com/guanli/lunwen_19958.html
------分隔线----------------------------
推荐内容