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Spatiotemporal Movement Density and Stopping Characteristics of Urban Walking Tourists by Season - Focused on Tourists of Bukchon Hanok Village in the Spring and Summer -

도심 도보관광자의 계절별 시·공간 이동밀도 및 멈춤 특성 - 북촌한옥마을의 봄·여름 관광자들을 대상으로 -

  • Yun, Hee Jeong (Dept. of Tourism Administration, Kangwon National University) ;
  • Kang, Dong Jin (Graduate School, Seoul National University) ;
  • Shin, Sang Hyun (Dept. of Environment & Landscape Architecture, Shingu University)
  • 윤희정 (강원대학교 관광경영학과) ;
  • 강동진 (서울대학교 협동과정조경학) ;
  • 신상현 (신구대학교 환경조경과)
  • Received : 2019.05.09
  • Accepted : 2019.07.09
  • Published : 2019.08.31

Abstract

The purpose of this study is to determine urban walking tourists' spatiotemporal movement densities and the stopping characteristics by season. With the Bukchon Hanok Village in Seoul, as the study site, a GPS-based smartphone application collected spatiotemporal data, and GIS and statistical methods were used to analyze the urban walking tourists' spatiotemporal activities in the spring and summer. The results show that the moving and staying variables of urban walking tourists differ significantly by season. In addition, spatiotemporal movement densities and stopping characteristics using ArcGIS's tools show clear spatial and temporal concentrations along the main access roads and commercial areas of the study site in the spring and summer. Policy-makers and developers of urban walking tours should use these spatiotemporal concentrations of walking tourists to define policies that would control the capacities of urban walking areas and distribute tourists spatially and temporally.

본 연구는 계절에 따라 도심 도보관광자들의 시 공간 이동밀도 및 멈춤 특성 분석을 주요 연구목적으로 한다. 이를 위해 본 연구는 서울 북촌한옥마을을 연구대상지로 선정하고, GPS 기반 스마트폰 어플리케이션을 활용하여 도심 도보관광자들의 시 공간 행태 데이터를 수집하였다. 이에 기초하여 본 연구는 GIS와 통계적 접근방법을 이용하여 봄, 여름 도심 도보관광자들의 시 공간 이동행태를 분석하였다. 주요 연구결과, 도심 도보관광자들의 이동 및 체류특성은 계절별로 통계적 차이가 검증되었다. ArcGIS를 이용하여 도심 도보관광자의 시 공간적 이동밀도와 멈춤 특성을 분석한 결과, 대상지로의 중심 접근로와 상업공간에 있어 공간적 시간적 집중성이 확인되었다. 도심 도보관광관련 정책입안자나 개발자들은 본 연구결과의 시 공간 밀집도를 활용하여 도보관광지의 수용력 조절이나 관광자들의 공간적 혹은 시간적 분산정책 수립에 활용할 수 있을 것이다.

Keywords

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