基于微博大數(shù)據(jù)的鳳凰古城網(wǎng)絡(luò)關(guān)注度時空格局研究
發(fā)布時間:2018-06-27 21:34
本文選題:鳳凰古城 + 網(wǎng)絡(luò)關(guān)注度; 參考:《河北師范大學(xué)》2017年碩士論文
【摘要】:隨著我國經(jīng)濟迅猛的發(fā)展,互聯(lián)網(wǎng)也在快速的成長和迅速的普及,人們對旅游的需求也日益增長,旅游行業(yè)同互聯(lián)網(wǎng)建立了十分緊密的聯(lián)系,并且越來越不可分割。微博作為大數(shù)據(jù)發(fā)展背景下的強大的社會化媒體,更是把人們的生活帶入了一個新的時代,通過微博平臺,旅游者可以獲得更便捷、準(zhǔn)確、高效的信息,也可以利用微博發(fā)布“游記”和分享“旅游攻略!庇慰屯ㄟ^游記或旅游攻略對旅游地建立了初步了解,從而影響著對旅游目的地的選擇,微博游記為旅游景區(qū)網(wǎng)絡(luò)關(guān)注度的研究提供了數(shù)據(jù)支撐。在本文中,通過對微博數(shù)據(jù)的挖掘,以微博數(shù)量作為評價指標(biāo),來研究鳳凰古城網(wǎng)絡(luò)關(guān)注度的時空格局特征,利用可視化方法將微博游記中的地理信息呈現(xiàn)出來,實現(xiàn)了對時空特征的分析,從定量化角度為鳳凰古城旅游研究提供了新的方法;谖⒉╅_放的API編寫了數(shù)據(jù)采集規(guī)則,運用Web信息采集技術(shù)設(shè)計了采集流程,獲得了微博中與鳳凰古城相關(guān)的微博游記,并將其進行文本篩選和清洗,設(shè)計了包括發(fā)布時間、發(fā)布定位、游客來源地、景點名稱等的旅游文本數(shù)據(jù)庫,實現(xiàn)了對旅游文本信息的有效存儲和管理。在對鳳凰古城網(wǎng)絡(luò)關(guān)注度的可視化表達和分析中得出以下結(jié)論:(1)鳳凰古城網(wǎng)絡(luò)關(guān)注度在空間分布上為聚集性:鳳凰古城網(wǎng)絡(luò)關(guān)注度在全國各個省份的分布不均衡,形成“兩帶、一核心”的空間格局,主要分布在“廣東-湖南-湖北”一帶、“江蘇-浙江-福建”一帶和北京及周邊的核心區(qū)。鳳凰古城內(nèi)部網(wǎng)絡(luò)關(guān)注度長期保持三個高度關(guān)注度的核心景點區(qū)域,在整體上呈現(xiàn)沿沱江分布的特征趨勢。(2)鳳凰古城網(wǎng)絡(luò)關(guān)注度在時間維度的變化上:年際分布變化呈現(xiàn)2013年、2014年、2015年逐步衰減,到2016年明顯回升;在季節(jié)分布上,季節(jié)差距較小,分布較均勻,景區(qū)一年4個季節(jié)均適合游覽,但從微妙的數(shù)據(jù)差異可以看出,秋季是鳳凰古城全年的旅游最旺季。本文分析得出了鳳凰古城網(wǎng)絡(luò)關(guān)注度時空分布特征的影響因素:互聯(lián)網(wǎng)的發(fā)展是對鳳凰古城網(wǎng)絡(luò)關(guān)注度時空格局變化的技術(shù)支撐;旅游資源稟賦與特色是鳳凰古城網(wǎng)絡(luò)關(guān)注度的基本動力;經(jīng)濟水平是鳳凰古城網(wǎng)絡(luò)關(guān)注度的核心動力。交通條件是鳳凰古城網(wǎng)絡(luò)關(guān)注度的重要推動力。在本文的研究過程中設(shè)計編寫了新的數(shù)據(jù)采集流程,完成了鳳凰古城旅游數(shù)據(jù)庫的設(shè)計和旅游文本數(shù)據(jù)庫的有效管理,通過對鳳凰古城微博游記的統(tǒng)計、挖掘,得到了鳳凰古城網(wǎng)絡(luò)關(guān)注度的年際、季節(jié)變化,并從全國范圍、景區(qū)內(nèi)部兩個尺度對鳳凰古城網(wǎng)絡(luò)關(guān)注度的時空格局進行了分析總結(jié)。為鳳凰古城景區(qū)未來的發(fā)展和在旅游市場的拓展提供了數(shù)據(jù)支撐,對優(yōu)化景區(qū)資源提供了科學(xué)的指導(dǎo),為當(dāng)?shù)芈糜尾块T的決策提供了科學(xué)的依據(jù)。
[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.
【學(xué)位授予單位】:河北師范大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F592.7
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