基于微博大数据的凤凰古城网络关注度时空格局研究

发布时间：2018-06-27 21:34

本文选题：凤凰古城 + 网络关注度　；参考：《河北师范大学》2017年硕士论文

【摘要】：随着我国经济迅猛的发展,互联网也在快速的成长和迅速的普及,人们对旅游的需求也日益增长,旅游行业同互联网建立了十分紧密的联系,并且越来越不可分割。微博作为大数据发展背景下的强大的社会化媒体,更是把人们的生活带入了一个新的时代,通过微博平台,旅游者可以获得更便捷、准确、高效的信息,也可以利用微博发布“游记”和分享“旅游攻略。”游客通过游记或旅游攻略对旅游地建立了初步了解,从而影响着对旅游目的地的选择,微博游记为旅游景区网络关注度的研究提供了数据支撑。在本文中,通过对微博数据的挖掘,以微博数量作为评价指标,来研究凤凰古城网络关注度的时空格局特征,利用可视化方法将微博游记中的地理信息呈现出来,实现了对时空特征的分析,从定量化角度为凤凰古城旅游研究提供了新的方法。基于微博开放的API编写了数据采集规则,运用Web信息采集技术设计了采集流程,获得了微博中与凤凰古城相关的微博游记,并将其进行文本筛选和清洗,设计了包括发布时间、发布定位、游客来源地、景点名称等的旅游文本数据库,实现了对旅游文本信息的有效存储和管理。在对凤凰古城网络关注度的可视化表达和分析中得出以下结论:(1)凤凰古城网络关注度在空间分布上为聚集性:凤凰古城网络关注度在全国各个省份的分布不均衡,形成“两带、一核心”的空间格局,主要分布在“广东-湖南-湖北”一带、“江苏-浙江-福建”一带和北京及周边的核心区。凤凰古城内部网络关注度长期保持三个高度关注度的核心景点区域,在整体上呈现沿沱江分布的特征趋势。(2)凤凰古城网络关注度在时间维度的变化上:年际分布变化呈现2013年、2014年、2015年逐步衰减,到2016年明显回升;在季节分布上,季节差距较小,分布较均匀,景区一年4个季节均适合游览,但从微妙的数据差异可以看出,秋季是凤凰古城全年的旅游最旺季。本文分析得出了凤凰古城网络关注度时空分布特征的影响因素:互联网的发展是对凤凰古城网络关注度时空格局变化的技术支撑;旅游资源禀赋与特色是凤凰古城网络关注度的基本动力;经济水平是凤凰古城网络关注度的核心动力。交通条件是凤凰古城网络关注度的重要推动力。在本文的研究过程中设计编写了新的数据采集流程,完成了凤凰古城旅游数据库的设计和旅游文本数据库的有效管理,通过对凤凰古城微博游记的统计、挖掘,得到了凤凰古城网络关注度的年际、季节变化,并从全国范围、景区内部两个尺度对凤凰古城网络关注度的时空格局进行了分析总结。为凤凰古城景区未来的发展和在旅游市场的拓展提供了数据支撑,对优化景区资源提供了科学的指导,为当地旅游部门的决策提供了科学的依据。
[Abstract]:With the rapid development of our country's economy, the Internet is also growing rapidly and popularizing rapidly. The demand for tourism is also increasing day by day. The tourism industry has established a very close relationship with the Internet, and it is becoming more and more indivisible. As a powerful social media under the background of big data development, Weibo brings people's life into a new era. Through Weibo platform, tourists can get more convenient, accurate and efficient information. You can also use Weibo to publish Travel Notes and share Travel Tips. Tourists establish a preliminary understanding of the tourist destination through travel notes or travel strategy, which affects the choice of tourist destination. Weibo travel notes provide data support for the study of the network attention of tourist attractions. In this paper, by mining the Weibo data and taking the quantity of Weibo as the evaluation index, we study the spatial and temporal pattern characteristics of the network attention in the ancient city of Phoenix, and present the geographic information in the Weibo travel record by using the visualization method. The analysis of temporal and spatial characteristics is realized, and a new method for the study of Phoenix ancient city tourism is provided from the point of view of quantification. Based on the open API of Weibo, the data acquisition rules are compiled, and the collection flow is designed by using the web information collection technology. The travel notes of Weibo related to Phoenix ancient city in Weibo are obtained, and the text is filtered and cleaned, including the release time. It can store and manage the tourist text information effectively by publishing the location, the source of the tourists, the name of the scenic spot and so on. In the visual expression and analysis of the network attention of the ancient city of Phoenix, the following conclusions are drawn: (1) the network attention of the ancient city of Phoenix is agglomeration in the space distribution: the distribution of the network attention of the ancient city of Phoenix is not balanced in every province of the country, forming "two zones," The spatial pattern of "one core" is mainly distributed in the area of "Guangdong-Hunan-Hubei", "Jiangsu-Zhejiang-Fujian" and the core area of Beijing and its surrounding areas. For a long time, the internal network of the ancient city of Phoenix has maintained three core scenic spots with a high degree of attention. On the whole, it shows the characteristic trend of distribution along the Tuojiang River. (2) the change of network attention in the time dimension of Phoenix Ancient City: the change of interannual distribution shows 2013, 2014, 2015 gradually attenuates, then obviously rises in 2016; in the seasonal distribution, the seasonal difference is relatively small. The scenic spots are suitable for sightseeing in four seasons a year, but from the subtle data differences, autumn is the most popular season of the year for the ancient city of Phoenix. This paper analyzes the influence factors of the space-time distribution of the network attention in the ancient city of Phoenix: the development of the Internet is the technical support for the change of the space-time pattern of the network concern of the ancient city of Phoenix; The natural endowment and characteristic of tourism resources are the basic motive force of the network attention of Phoenix ancient city, and the economic level is the core motive force of the network attention degree of Phoenix ancient city. Traffic condition is the important driving force of the network concern of Phoenix ancient city. In the research process of this paper, a new data acquisition process is designed and compiled, and the design of the Phoenix ancient city tourism database and the effective management of the tourism text database are completed. Through the statistics of the Phoenix ancient city Weibo travel notes, the author excavates, The interannual and seasonal changes of the network attention of the ancient city of Phoenix are obtained, and the space-time pattern of the attention degree of the network of the ancient city of Phoenix is analyzed and summarized from the two scales of the whole country and the interior of the scenic spot. It provides data support for the future development of Phoenix ancient city scenic spot and the development of tourism market, provides scientific guidance for optimizing scenic area resources, and provides scientific basis for local tourism department decision-making.
【学位授予单位】：河北师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F592.7

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