Utilization of Credit Card Big Data in the Tourism Study

Changkyu Lee; Jinmu Choi

doi:10.22776/kgs.2023.58.5.535

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2023 Vol.58, Issue 5 Preview Page Next Page

Research Article

Utilization of Credit Card Big Data in the Tourism Study 신용카드 빅데이터의 관광 분야 활용 방안

4 October 2023. pp. 535-547

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Abstract

The mass production of big data has driven the development of new approaches and value creation in the tourism study. As a tourism big data, credit card big data is highly useful in the tourism field because it is a record of actual usage. In this study, we aimed to derive tourism patterns using credit card big data and propose a complementary use method with blog data, which could be highly biased by individuals. Hot spot analysis and emerging hot spot analysis methods were applied to analyze tourism patterns, and local bivariate relationship and bivariate local spatial autocorrelation analysis were applied to identify complementarity with blog data. The spatio-temporal analysis of tourism patterns using credit card data revealed clusters of card use in certain areas and changes in clusters at certain times. By linking credit card data with blog data, we were able to complement demographic information from credit card data with textual information from blog data, providing additional information to infer tourism factors. In this study, we presented a method for analyzing tourism patterns using credit card big data, which is one of the real historical data, and how to use it complementarily with social media data. This result is expected to contribute to the analysis of tourism big data through the integration of various types of big data in the future.

Keywords

Big data

Tourism

Credit card data

Social media

Blog data

빅데이터의 대량 생산은 관광 분야의 새로운 접근 방법 개발과 가치 창출을 주도하였다. 관광 빅데이터로써 신용카드 빅데이터는 실제 사용 기록이라는 점에서 관광 분야에서 활용성이 높다. 본 연구에서는 신용카드 빅데이터를 활용하여 관광 패턴을 도출하고 개인의 편향성이 높은 블로그 데이터와의 상호보완적 활용 방안을 제안하고자 하였다. 관광 패턴 분석을 위해서 핫스팟 분석과 발생 핫스팟 분석 방법을 적용하였고, 블로그 데이터와의 상호보완성을 파악하기 위해서는 국지적 이변량 관계와 이변량 국지적 공간 자기상관 분석을 적용하였다. 카드 데이터를 이용한 관광 패턴의 시･공간적 분석 결과, 특정 지역에서 특정 시기에 카드 사용이 집중된 군집지역과 군집의 변화 양상을 파악할 수 있었다. 신용카드 데이터와 블로그 데이터를 연계한 결과 신용카드 데이터의 인구통계학적 정보와 블로그 데이터의 텍스트 정보를 상호보완하여 관광 요인을 유추할 수 있는 추가적인 정보를 확보할 수 있었다. 이처럼 본 연구를 통해 실제 기록 데이터 중 하나인 신용카드 빅데이터를 활용한 관광 패턴 분석 방법과 소셜미디어 데이터와의 보완적인 활용 방법을 제시하였다. 이 결과는 향후 다종 빅데이터 접목을 통한 관광 빅데이터 분석에 기여할 수 있을 것으로 기대한다.

키워드

빅데이터

관광

신용카드 데이터

소셜미디어

블로그 데이터

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Information

Publisher :The Korean Geographical Society
Publisher(Ko) :대한지리학회
Journal Title :Journal of the Korean Geographical Society
Journal Title(Ko) :대한지리학회지
Volume : 58
No :5
Pages :535-547
Received Date : 2023-10-23
Accepted Date : 2023-10-26
DOI :https://doi.org/10.22776/kgs.2023.58.5.535

Journal of the Korean Geographical Society ISSN:1225-6633(Print) 대한지리학회지

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