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The Research On Distance Decay Of The Travel Flow In The Tourism Website"traveling Together"column

Posted on:2011-04-16Degree:MasterType:Thesis
Country:ChinaCandidate:N N JiFull Text:PDF
GTID:2189360305981055Subject:Human Geography
Abstract/Summary:PDF Full Text Request
With the improvement of the Internet system as well as the breakthrough of the information technology, communications technology and network technology, and the travel e-commerce based on Web activities change each passing day. Tourist destination and tourism enterprises promote tourist attractions, air tickets, hotels, guest rooms and other tourism products through the network reservation system, and potential travelers can directly order the products or services they need in the process of travel on the network bypass the role of intermediaries. Especially the network has become an important part of life with the Internet rapidly spread. At present, China has nearly 70% of Internet users have received university or higher education and there is a strong demand for tourism and consumption. With the rise of network, the travelers are no longer confined to the traditional way of travel, and they sponsor travel together in the form of a network forum in order to find unique travel experience, realize their individual needs, and break the original in reality, geography, time and many other aspects of limitations.At present, however, the research on traveling together in China is relatively little. Therefore, this article will explore the distance decay characteristics of the travel flow on the role of tourism website information flow. This paper combine the method of theoretical analysis and empirical research, and take the tourism website"traveling together"column as the research object, then screen the data and obtain a more complete travel flow data of all departure cities based on information flow. By using Exponential model and Zipf models, we explore the characteristics of its distance-decay. The research found:(1) The general trend of travel flow distance decay in line with the of index model, it is the obvious decay form;(2) The index model parameters of the travel flow distance decay is related on its influence scope and degree. The higher parameter, the larger the influence scope of the travel flows, the faster the decay;(3) The spatial concentration of the travel flow distance decay in line with Zipf model, namely, more concentration of people flow in few cities, while other cities with less concertration;(4) The Zipf model regression coefficients and the fractal dimension of travel flow distance decay affect their morphology and flow curve of the distribution.This thesis is composed of five parts:The first part is the introduction. First of all, in view of the domestic and foreign literatures on substantiality "flow", website information flow and its distance decay, tourism website travel and the related concept of"traveling together", it reviews and analyzes all the above; then introduce the research methods and research significance; Finally design the research content and framework of this article.The second part selecte and process the data of travel site "traveling together", at first introduces the site selection, then describes the data collection process, and obtain the relevant data, finally processes the data, and then certain the basis research database.The third part is a main body of the whole thesis, it takes the tourism websites "traveling together" as the research objects to discuss the general trend of travel flow the distance decay, then we find it in line with the index model, and belong to obvious decay form; Through the analysis of model parameters we find that the higher parameters, the larger the influence scope of the travel flows, the farther distance it applied to. At the same time, the higher sensitivity travel flow towards distance, the faster it decayed.The fourth part is also the main body of the article, mainly analysis the concentration of travel flow distance decay, and we find that it shows the Zipf model in the space, namely more concentration of people flow in few cities, while other cities with less concertration. Through the regression coefficients and the fractal dimension of the model to illustrate the spacial morphological characteristics and the flow distribution order of the flow curves.The fifth part is the conclusion, which summarizes the research results and deficiencies of this thesis.
Keywords/Search Tags:tourism website"traveling together", travel flow, distance decay, index model, Zipf model
PDF Full Text Request
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