2020
DOI: 10.3390/su12062508
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The Spatial Distribution, Influencing Factors, and Development Path of Inbound Tourism in China—An Empirical Analysis of Market Segments Based on Travel Motivation

Abstract: According to China’s tourism statistics, the inbound tourism market is composed of eight types of travel motivations (sightseeing, leisure, business meeting (business-m), visiting relatives and friends (visiting-rf), shopping, religious worship (religious-w), culture and sports (culture-s), and health care (health-c)), and the spatial distribution of each type of travel motivation is significantly different. Four inbound sub-markets (foreigners, Hong Kong, Macao, and Taiwan) were selected as our research objec… Show more

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Cited by 8 publications
(5 citation statements)
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References 52 publications
(61 reference statements)
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“…This growth will certainly take place in line with the discovery of various new tourist destinations in various regions. In China, the tourism market growth of inbound and outbound tourism changed markedly in the past few years [2]. This potential tourism industry growth was also found in Thailand [3].…”
Section: Introductionmentioning
confidence: 85%
See 2 more Smart Citations
“…This growth will certainly take place in line with the discovery of various new tourist destinations in various regions. In China, the tourism market growth of inbound and outbound tourism changed markedly in the past few years [2]. This potential tourism industry growth was also found in Thailand [3].…”
Section: Introductionmentioning
confidence: 85%
“…All of them can be seen in Table VII. Tourist Experience 4 [12], [13], [19], [20] Tourist Motivation 6 [17], [18], [11], [3], [6], [5] TOTAL 13 [18], [19], [11], [12], [6], [5] Paper/ Report 6 [1], [4], [2], [3], [13], [20] TOTAL 13…”
Section: A Tourismmentioning
confidence: 99%
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“…Researchers have adopted various methods to measure the impact of each of these factors on local tourism activities. For traditional tourism statistics, researchers use the ANP model [35], statistical analysis [32], stepwise regression and clustering [45], and other means for analysis. For digital footprint data, researchers use the exponential random graph model [46] and complex network index [20] to measure the importance of factors.…”
Section: Tourism Impact Factor Analysismentioning
confidence: 99%
“…As a core component of tourism, scenic spots and their spatial distribution and accessibility not only determine the spatial behavior of tourists, but also profoundly affect the formulation of regional tourism development strategies [ 2 ]. Therefore, research on scenic spots has been highly valued regionally and globally [ 3 ]. In addition, an expansion in the research of methodologies has occurred, especially related to the interpretation and classification [ 4 , 5 ], competition [ 6 , 7 ], tourists’ perception [ 8 , 9 ], and spatial distribution and evolution [ 10 – 12 ] of scenic spots.…”
Section: Introductionmentioning
confidence: 99%