Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos

doi:10.3390/su11205822

	Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos
	Qin, Jing 2,3; Song, Ci 1,4; Tang, Mingdi 2,3; Zhang, Youyin 5; Wang, Jinwei 2,3
刊名	SUSTAINABILITY
	2019-10-02
卷号	11 期号:20 页码:17
关键词	Geotagged photos inbound tourist flow spatial characteristics tourist transfer pattern tourist destination cities group
DOI	10.3390/su11205822
通讯作者	Song, Ci(songc@lreis.ac.cn) ; Tang, Mingdi(mingditang@bisu.edu.cn)
英文摘要	As important modern tourist destinations, cities play a critical role in developing agglomerated tourism elements and promoting urban life quality. An in-depth exploration of tourist flow patterns between destination cities can reflect the dynamic trends of the inbound tourist market. This is significant for the development of tourism markets and innovation in tourism products. To this end, photos with geographical and corresponding metadata covering the entire country from 2011 to 2017 are used to explore the spatial characteristics of China's inbound tourist flow, the spatial patterns of tourist movement, and the tourist destination cities group based on data mining techniques, including the Markov chain, a frequent-pattern-mining algorithm, and a community detection algorithm. Our findings show that: (1) the strongest flow of inbound tourists is between Beijing and Shanghai. These two cities, along with Xi'an and Guiling, form a "double-triangle" framework, (2) the travel between emerging destination cities in Central and Western China have gradually become frequently selected itineraries, and, (3) based on the flow intensity, inbound tourist destination cities can be divided into nine groups. This study provides a valuable reference for the development of China's inbound tourism market.
资助项目	National Natural Science Foundation of China[41801168] ; Philosophy and Social Science Foundation of Beijing[17JDGLB004] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007]
WOS关键词	GEO-TAGGED PHOTOS ; SOCIAL MEDIA ; PATTERNS
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种	英语
出版者	MDPI
WOS记录号	WOS:000498398900278
资助机构	National Natural Science Foundation of China ; Philosophy and Social Science Foundation of Beijing ; Key Research Program of Frontier Science, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/130045]
专题	中国科学院地理科学与资源研究所
通讯作者	Song, Ci; Tang, Mingdi
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Beijing Int Studies Univ, Sch Tourism Sci, Beijing 100024, Peoples R China 3.Res Ctr Beijing Tourism Dev, Beijing 100024, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 5.China Tourism Acad, Inst Reg Tourism Planning & Dev, Beijing 100005, Peoples R China
推荐引用方式 GB/T 7714	Qin, Jing,Song, Ci,Tang, Mingdi,et al. Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos[J]. SUSTAINABILITY,2019,11(20):17.
APA	Qin, Jing,Song, Ci,Tang, Mingdi,Zhang, Youyin,&Wang, Jinwei.(2019).Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos.SUSTAINABILITY,11(20),17.
MLA	Qin, Jing,et al."Exploring the Spatial Characteristics of Inbound Tourist Flows in China Using Geotagged Photos".SUSTAINABILITY 11.20(2019):17.