IGSNRR OpenIR
Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways
Chen, Sihong1,2; Xi, Jianchao1; Liu, Menghao1,2; Li, Tao3
2020-07-06
Source PublicationCOMPLEXITY
ISSN1076-2787
Volume2020Pages:22
Corresponding AuthorXi, Jianchao(xijc@igsnrr.ac.cn)
AbstractTransportation is an example of a typical, open, fluid complex network system. Expressways are one form of complex transportation networks, and expressway service areas serve as infrastructure nodes in the expressway transportation network; hence, their construction has a significant impact on tourism development and utilization. Domestic and foreign studies on complex transportation networks have mostly been conducted from the perspective of railways, air transport, and urban transportation but seldom on expressway transportation networks. This study employed complex network theory, social network analysis, kernel density analysis, and bivariate autocorrelation to characterize the spatial structure of expressway transport networks in terms of geographical centrality. By innovating the coupling of geographical centrality and passenger flow centrality in clustering, the study also quantitatively analyzed the differences between the geographical advantage and actual passenger flow advantage of China's Guizhou expressway transportation network to analyze the tourism utilization potential of expressway service areas. We found that (1) the geographical centrality of the Guizhou expressway transportation network ranged from -1.28 to 3.33, and its distribution shows a single-core, polyconcentric dispersed spatial structure; (2) the passenger-car flow rate ranged from 15,000 to 3.66 million, and its distribution showed a dual-core, polycentric dispersed structure that is weakly concentric; and (3) there was a positive correlation of 0.22 between the geographical centrality and passenger flow of the Guizhou expressway transportation network, which showed seven cluster types-"high-high," "moderately high-high," "low-high," "moderately low-high," "high-low," "moderately high-low," and "low-low"-for which seven corresponding models of tourism development were proposed. This study broadens the practical application of traffic network complexity research and provides a scientific basis for upgrading and transforming the Guizhou expressway transportation network as well as for developing composite tourism uses for expressway service areas.
DOI10.1155/2020/1042506
WOS KeywordVULNERABILITY ANALYSIS ; SPATIAL EVOLUTION ; URBAN ; CHINA ; DESTINATIONS ; CENTRALITY ; PATTERNS ; LAND
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41671151]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaMathematics ; Science & Technology - Other Topics
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS IDWOS:000553513500001
PublisherWILEY-HINDAWI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/158251
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXi, Jianchao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Social Sci, Inst Finance & Banking, Beijing 100028, Peoples R China
Recommended Citation
GB/T 7714
Chen, Sihong,Xi, Jianchao,Liu, Menghao,et al. Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways[J]. COMPLEXITY,2020,2020:22.
APA Chen, Sihong,Xi, Jianchao,Liu, Menghao,&Li, Tao.(2020).Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways.COMPLEXITY,2020,22.
MLA Chen, Sihong,et al."Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways".COMPLEXITY 2020(2020):22.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Sihong]'s Articles
[Xi, Jianchao]'s Articles
[Liu, Menghao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Sihong]'s Articles
[Xi, Jianchao]'s Articles
[Liu, Menghao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Sihong]'s Articles
[Xi, Jianchao]'s Articles
[Liu, Menghao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.