관광객 유동인구의 새로운 군집 분석: 제주도를 중심으로 A Novel Clustering Method for Analyzing Floating Population: Application to Jeju Island

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In this paper, we propose a new clustering method to simultaneously analyze multi-dimensional spatial data of tourists’ floating population, represented in different age and gender groups. Based on graph theory, the whole geographical region is simplified into grid graphs, and we use minimum cost to partition them into subgraphs. To evaluate our method, we apply the proposed cluster analysis to examine visit patterns of tourists in Jeju Island, which is a popular tourist attraction in Korea, and compare it to results from the traditional heat map analysis. Through this comparison, we show that our new method is able to discover abnormal pattern of population density that are not found in heat maps. This research has two major implications. First, methodologically, we propose a clustering algorithm for geographic data which is faster to implement and enables the researcher to find patterns across different areas. Second, managerially, we can use the insights obtained from this research to provide the right products and services to different groups of tourists.
Publisher
(사)한국관광레저학회
Issue Date
2016-01
Language
Korean
Citation

관광레저연구, v.28, no.1, pp.25 - 43

ISSN
1229-0424
URI
http://hdl.handle.net/10203/207181
Appears in Collection
RIMS Journal Papers
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