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The Study Of Chongqing Tourist Flow Network System Based On The Tourism Digital Footprint

Posted on:2017-01-07Degree:MasterType:Thesis
Country:ChinaCandidate:L M LiFull Text:PDF
GTID:2309330485970295Subject:Human Geography
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With the rapid development of information and communication technology, the high popularity of smart phones and other mobile devices, networks have become an important part of our everyday lives. More and more tourists tend to searching and sharing of information through the network, a lot of tourists’information is able to meet on the Internet platform, the information carrying tourists digital footprints, so using digital footprint of tourism to research interaction characteristics and behaviors of tourists is very feasible.This article through to the related literature at home and abroad research results, combed the related theoretical achievements, taking chongqing as an empirical study, using online travel notes and pictures for digital footprint of tourism, and combining the social network analysis method to build destination tourism flow network structure system, from two aspects of tourism node structure, the overall network structure to study chongqing tourism flow network structure characteristics.The results show that, from the march to may and from the September to October,is chongqing tourists travel peak;Tourists stay in chongqing for general for 3 to 5 days;Most visitors to chongqing to 1 to 2 people relaxed freedom;Tourists in chongqing spend an average of 2375 yuan.To chongqing tourists often go to tourist attractions of the first three called Hongyadong (93.75%), Ciqikou(77.5%), the Chongqing jiangfangbei (70.63%).Chongqing tourism flow network density was 0.214, the standard point was 0.4101, the overall tourist flow network density is low;In the selection of the 25 Tourism nodes, an average of a tourism node and 7.960 other nodes exist in agglomeration or radiation of tourist flow, the chongqing tourism flow network node distribution is not balanced;From the point of space trend analysis, eastern centricity and close centricity performance is good, what direction tourism node hierarchy distribution structure is reasonable, the north-south direction are concentration of cultural tourism node distribution; From the point of qualitative analysis, the more significant regional characteristic, the more tourists favor;The higher visibility and reputation of tourism scenic spots, the more likely they are to become the core tourist area;Infrastructure services more perfect more attract tourists;Convenient transportation to the tourist flow has a positive role in promoting;The closer on the geographic space, tourism resources the greater the difference of tourism scenic spots, can promote each other. Which two optimization Suggestions:one is strengthen to build three platforms of tourist flow and improve the contact degree of the whole network;Second is to improve the tourism node function of scenic spots, strengthen tourism development ability.
Keywords/Search Tags:Tourism flow, Tourism digital footprints, Social network analysis, Chongqing
PDF Full Text Request
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