A Study on the Spatial Movement Pattern of Foreign Tourists

Haejin Hwang; Dong-hoon Jeon; Yebin Seo; Sangwon Park

doi:10.22776/kgs.2022.57.6.567

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2022 Vol.57, Issue 6 Preview Page Next Page

Research Article

A Study on the Spatial Movement Pattern of Foreign Tourists 외래관광객의 시공간적 방문 패턴 분석 - 전주시를 중심으로 -

31 December 2022. pp. 567-581

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Abstract

Characteristics such as nationality affect the movement of tourists. The movement of tourists can be described as a change in spatial location over time. Understanding the difference in tourist movement behavior patterns according to time and nationality plays a vital role in developing tourist attractions and enhancing tourist experiences. However, existing studies are limited to understanding tourists' movement behavior in terms of space. Therefore, studies that reflect the actual movement behavior considering the time and individual characteristics of tourists are required. This study grasped the spatial movement behavior of foreign tourists visiting Jeonju based on the space, time, and nationality of tourists. Hot spots and cold spots were identified using Optimized Hot Spot Analysis, and Emerging Hot Spot Analysis was conducted to identify changes in the distribution of popular and unpopular tourist destinations over time regarding tourists' nationality. As a result, it was found that hot spots were formed widely in Jeonju Hanok Village and Jungang-dong, the tourist hubs in Jeonju. The distribution was different depending on the nationality of tourists. Remarkably, the distribution of hot and cold spots among Chinese, Japanese, and Americans was different and changed through the seasons. In addition, it was proved that the spatio-temporal distribution of tourists was different according to nationality. The results of this study are expected to enhance tourists’ experience by suggesting efficient ways to develop tourist destinations and establishing policies in the future.

Keywords

Big data

Spatio-temporal analysis

Movement behavior

Optimized Hot spot Analysis

Emerging Hot Spot Analysis

관광객의 이동은 시간의 흐름에 따른 공간적 위치의 변화로 이해할 수 있다. 국적과 같은 특성은 관광객의 이동에 영향을 미친다. 시간과 국적에 따라 관광객의 이동 행동 패턴 차이를 이해하는 것은 관광지를 개발하고 이를 통해 관광객의 경험을 증진시키는데 중요한 역할을 한다. 그러나 기존 연구는 관광객의 이동 행동을 공간 측면에서 이해하는데 국한되어있고, 시간 측면과 관광객 개인의 특성을 고려한 실질적 이동 행동 패턴을 분석한 연구는 미비하다. 이에 따라 이 연구는 전주시를 방문한 외래관광객의 공간적 이동 행동을 공간과 시간, 관광객의 국적에 따라 파악하였다. 관광객의 국적의 따른 인기관광지(Hot spot)와 비인기 관광지(Cold spot)을 파악하기 위해 최적화된 핫스팟 분석법을 활용하였다. 또한, 인기관광지와 비인기 관광지의 시간의 흐름에 따른 분포 변화를 확인하기 위해 발생 핫스팟 분석을 실시하였다. 분석 결과 전주시의 관광 거점 지역인 전주 한옥마을, 중앙동 일대에 핫스팟이 넓게 형성되었으며, 관광객의 국적에 따라 분포가 상이하게 나타났다. 더불어 계절에 따라 중국인, 일본인, 미국인의 핫스팟과 콜드스팟의 분포가 다르다는 것이 밝혀졌다. 해당 연구는 전주시 내 인기 관광지 분포와 시간의 흐름에 따른 인기 관광지 분포의 변화를 확인하였다. 더불어 국적에 따라 관광객의 시공간적인 분포가 상이함을 입증하였다. 해당 연구의 결과는 앞으로의 관광지 개발 및 정책 수립에 효율적인 방안을 제시하고 이를 통해 관광객의 경험을 증진하는데 기여할 것으로 기대한다.

키워드

빅데이터

시공간적

이동 패턴

최적화된 핫스팟 분석

발생 핫스팟 분석

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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 : 57
No :6
Pages :567-581
Received Date : 2022-11-28
Revised Date : 2022-12-16
Accepted Date : 2022-12-18
DOI :https://doi.org/10.22776/kgs.2022.57.6.567

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

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