RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2020, Vol. 29 >> Issue (4): 836-849.doi: 10.11870/cjlyzyyhj202004005

Previous Articles     Next Articles

Research on the Tourist Network Attention and Spatial Pattern of Tourist Destination Cities in Hunan Based on the Baidu Index

LU Li-jun1,2,3 , DAI Xiang-yi4   

  1. (1.Central South University of Forestry & Technology, Changsha 410004, China;2. Hunan Institute of Technology, Hengyang 421008, China;3. Digital Technology and Application of Clan Cultural Heritage, Hengyang 421008, China;4. College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China)
  • Online:2020-04-20 Published:2020-06-12

Abstract: Abstract:Network attention reflects tourists’ overall perception of tourist destinations from the perspective of cyberspace.In this paper, we systematically analyzed the network attention and spatial pattern of Hunan tourist destination cities through the social network analysis method,using the network attention index constructed by Baidu search data of 103 keywords that are obtained by synthetically using “direct lexicon” and “’range lexicon” method. and closely related to tourist activities as analytical data.This study found that: (1)Tourists have different levels of network attention to tourist destination cities in Hunan, but the network attention of the above-mentioned tourism destination cities shows a synchronous fluctuation trend within the annual cycle which presents a strong “Collinearity”; (2)Tourists’ network attention to the tourist destination cities in Hunan constitute a relatively complete network relationship.However, the network information interaction between Yueyang and other tourist destination cities in the province is weak and there is basically no network information interaction between Loudi and Yiyang and other tourist destination cities in the province; (3)The network influence of tourists’ network attention to the tourist destination cities in Hunan shows an obvious hierarchical structure. Among them, Changsha, Chenzhou and Zhuzhou have significant advantages of “structural hole”, which in general plays an important bridging role to promote the information flow among the tourist destination cities in Hunan; (4)The spatial correlation network of tourists’ network attention to the tourism destinations in Hunan can be divided into four sections:Xiangxi is located in the “Agen” section;Four nodes, such as Hengyang, are located in the “Net overflow” position.;Six nodes including Changsha are located in the “Bidirectional overflow” position;Loudi, Yueyang and Yiyang are located in the “isolated” position; (5) It is particularly noteworthy that although tourists’ online attention to Hunan’s tourist destination cities largely reflects the resource endowment and tourism industry development of Hunan’s tourist destination cities, the two are not completely matched.Although the spatial correlation structure of tourists’ network attention to the cities in Hunan’s tourism destinations is rooted in the physical geographic space, it is quite different from the structure of physical geographic space.In view of the above findings, for the development of the tourism industry in Hunan,this paper propose that the tourist destination cities need not only to strengthen their own construction of high-quality resources and highlight their own characteristics of tourism development,but also expand the exchange and cooperation of tourism information among them.In particular, it is necessary to promote the free flow of tourist,tourism information and other elements in Hunan and gradually form a multi-center multi-network coordinated development of tourism space pattern.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] WANG Kairan1,2| JIA Yanan1| HU Dachao3. COMPARISON RESEARCH OF THE NITRATENITROGEN POLLUTION SOURCE IN AN UNDERGROUND RIVER USING 15 N ISOTOPE〖WT4BZ〗——A CASE STUDY IN THE QINGMUGUAN UNDERGROUND RIVER,CHONGQING[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2013, 22(06): 750 .
[2] LI Lei 1,2, WEI Qiwei 1,2,3, WU Jinming1, DU Hao 1,2,3, XIE Xiao 1. CURRENT STATUS OF FISH ASSEMBLAGES IN YIBIN REACHES OF THE YANGTZE RIVER[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2013, 22(011): 1449 .
[3] CAO Xin-chun, SHU Rui, GUO Xiang-ping, SHAO Guang-cheng, WANG Zhen-chang. WATER STRESSES EVALUATION OF AGRICULTURAL PRODUCTION IN JIANGSU PROVINCE USING BWSI AND GWSI[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(06): 856 -864 .
[4] WU Dian-ming, SHAO Da-wei. Characteristics of Urban Land Expansion Based on the Optimal Scale:A Case Study of Suzhou[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 1937 -1946 .
[5] SHEN Xue, ZHANG Lu, ZHANG Junbiao, LUO Lanling. Influencing Factors and Guiding Strategies for Lowcarbon Production in Rice Planting: Multiplegroup Analysis Using Interpersonal Behavior Improvement Theory[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 2042 -2052 .
[6] MA Kun, TANG Xiaolan, LIU Siyuan, WANG Yiwen, REN Yujie, LIU Xiaohan. Study on Spatial Distribution Characteristics of National Protected Areas and the Space Strategy of National Park Corridor in the Yangtze River Basin#br#[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 2053 -2069 .
[7] ZENG Gang, YANG Shu-ting, WANG Feng-long, . Study of the Urban Coordinated Development Capbility Index in the Yangtze River Economic Belt[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2641 -2650 .
[8] LIANG Zhi-hui, ZHANG Lu, ZHANG Jun-biao, JORGE Ruiz menjivar, LIU-Yong. Improving Efficiency and Costs in Developing Climate-Smart Agriculture by Smallholder Farmers: Enhancing Land Transfer or Socialization Services?[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(05): 1164 -1175 .
[9] LI Jing-bao, YU Dan-dan, ZHANG Rui, YANG Bo, DAI Wen, HE Meng, XU Zhi. Evolution Characteristics of River Network of the Three Estuaries of Southern Jing River in the Past 61 Years[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(05): 1214 -1224 .
[10] LUO Shen, YU Bin, ZHANG Xiang-min. Structural Characteristics and Optimization Strategies of the Rural Living Space Network:A Case Study of Typical Rural Construction Area in Jianghan Plain[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(07): 1725 -1735 .