Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations

doi:10.1155/2020/2807817

	Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations
	Hao, Jinlian 1; Liu, Haolong 2; Chen, Jie 3; Sun, Fankai 4
刊名	COMPLEXITY
	2020-08-17
卷号	2020 页码:13
ISSN号	1076-2787
DOI	10.1155/2020/2807817
通讯作者	Liu, Haolong(liuhl@igsnrr.ac.cn)
英文摘要	Reasonable spatial organization of the tourism industry can improve the utilization efficiency of regional tourism industry elements. Taking Dalian City in China as an example, this paper collects various types of tourism industry data and introduces GIS network analysis technology into tourism studies to determine the location, scale, and number of tourism nodes in Dalian and optimize the spatial organization nodes and organization models of the tourism industry. This will help ease the pressure on tourism reception in the southern area of Dalian and promote better development and utilization of tourism resources and tourism facilities in the central and northern regions. The results show that (1) when using the "minimizing facility points" model, a total of 17 second-level tourism nodes and 5 first-level tourism nodes are obtained after optimization. The location of these nodes is highly correlated with the level of tourist scenic spots, while tourist scenic spots play a significant role in leading and driving tourism nodes. (2) Using the "maximum coverage" model for optimization, 3138 tourism enterprises are connected with tourism nodes, thus realizing the shortest traffic path between tourism enterprises and tourism nodes, which minimizes the total cost of network services. Compared with suburban areas, enterprises in urban tourism areas are densely distributed, meaning that a smaller service radius of tourism nodes can cover more enterprises. (3) A total of 10 first-level tourism channels and 12 second-level tourism channels are optimized using the "nearest facility" model. The first-level tourism channels are mainly distributed in the central and southern areas of Dalian. These channels connect nodes mainly through national and provincial roads. The second-level tourism channels are mainly distributed in the central and northern areas of Dalian. (4) This study aims to analyze the evolution process of the spatial organization mode of Dalian's tourism industry and construct a hub-spoke network tourism industry spatial organization mode composed of 17 hubs, 22 spokes, and 22 tourism domains. The analysis and construction are designed according to the optimization results of tourism nodes and tourism channels. The research results enrich the theories and technical means of tourism industry spatial organization and provide references and suggestions for local governments or tourism planning decision-makers; they also provide a scientific basis for the rational allocation of tourism industry elements and promote the rational distribution of tourism industry.
资助项目	National Natural Science Foundation of China[41771132] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23000000] ; Humanities and Social Sciences Key Research Base of China Ministry of Education[14JJD790044] ; Shanxi Datong University Research Startup Fund
WOS研究方向	Mathematics ; Science & Technology - Other Topics
语种	英语
出版者	WILEY-HINDAWI
WOS记录号	WOS:000619921700001
资助机构	National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Humanities and Social Sciences Key Research Base of China Ministry of Education ; Shanxi Datong University Research Startup Fund
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136066]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Haolong
作者单位	1.Shanxi Datong Univ, Coll Hist & Tourism Culture, Datong 037009, Shanxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Shanxi Datong Univ, Coll Architecture & Surveying Engn, Datong 037009, Shanxi, Peoples R China 4.Taiyuan Univ Technol, Dept Geomat, Taiyuan 030024, Shanxi, Peoples R China
推荐引用方式 GB/T 7714	Hao, Jinlian,Liu, Haolong,Chen, Jie,et al. Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations[J]. COMPLEXITY,2020,2020:13.
APA	Hao, Jinlian,Liu, Haolong,Chen, Jie,&Sun, Fankai.(2020).Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations.COMPLEXITY,2020,13.
MLA	Hao, Jinlian,et al."Study on City-Level Optimization of Tourism Industry Spatial Organization Nodes and Organization Mode for Tourist Destinations".COMPLEXITY 2020(2020):13.