Font Size: a A A

Structural Characteristics And Gravity Center Evolvement Of Sichuan Self-help Tourism Flow Network

Posted on:2021-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:L N ZhaoFull Text:PDF
GTID:2439330623473806Subject:Human Geography
Abstract/Summary:PDF Full Text Request
Driven by socio-economic development,tourism has become a strong arm for promoting regional economic development and industrial structure transformation and upgrading.Under the background of a marked improvement in material living standards,with the transformation and upgrading of consumption,people's demand for tourism is no longer limited to the traditional popular sightseeing tourism,the demand for personalized tourism has increased,and the flow of tourists has become increasingly diverse and complex..The maturity of the "4G" era has made people's lives inextricably linked to the Internet,and a large amount of travel information has been gathered on the Internet platform.The development of computer network technology has promoted the widespread application of big data in various fields of social research,and has also provided more possibilities for tourism research.Relevant research on tourism flow has always been the core content of tourism geography research,and has attracted the attention of tourism scholars at home and abroad.The research results are rich and mature.A review of the research literature on the structure of tourism flow networks found that most of them focus on the study of the structure of tourism flows and inbound tourism flows in urban areas in developed regions,while the research results in less developed areas are weak.This article takes Sichuan Province 's self-help travel flow as the research object,and uses the“locomotive collector” to collect Ctrip 's four time nodes in 2009,2012,2015,and 2018 for 1,240 effective online travel notes on Sichuan self-help travel.The travel trajectory of tourists is used as the original research data.Under the theoretical framework of social network analysis,Ucinet 6.6 and ArcGis 10.3 software are used to explore the network structure and center of gravity of self-help tourism flow in Sichuan from threeaspects: time and space,node characteristics,overall network structure,and center of gravity trajectory.Evolution of the trajectory.The results show that:(1)the growth rate of tourism nodes has experienced a process from fast to slow,2012-2015 is a stage of rapid development of tourism in Sichuan Province,and the scope of tourism in 2018 is stable.Through the analysis of the centrality index,it is found that the locations of the nodes are significantly different and unevenly distributed.The centrally located tourist nodes are Qingyang District,Wuhou District,Dujiangyan City,Emeishan City,and Leshan City Central District.These nodes are located in the Chengdu Plain Economic Zone.In the northwestern Sichuan eco-economic zone,the development of tourism in the later period is relatively fast,and the level of tourism development of its tourism nodes has improved significantly.(2)The overall network structure of Sichuan self-help tourism flow is gradually strengthened,and the development of the overall network structure tends to be balanced,but there is still an obvious core-edge structure.Most tourism nodes need to rely on core tourism nodes to generate tourism flow connections.The network structure has obvious characteristics of internal node aggregation and forms three major tourism systems.(3)The overall tourism flow network has shifted significantly from imbalance to equilibrium.Chengdu is in a strong core position.The importance of the northwest region is prominent.The spatial development of tourism in the east and west is significantly different.The direction of tourism flow diffusion has shifted from south to north to east.-In the west direction,the agglomeration of tourism flows has shifted from trending to trending.Based on this,corresponding optimization suggestions are proposed for the coordinated development of tourism in various regions of Sichuan Province,and it is hoped to provide reference for Sichuan's tourism development planning.
Keywords/Search Tags:Social network analysis, Network structure of tourism flow, Center of gravity trajectory, Sichuan province
PDF Full Text Request
Related items