Journal of Cadastre & Land InformatiX (지적과 국토정보)

LX Spatial Information Research Institute (한국국토정보공사 공간정보연구원)
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Estimation of Flow Population of Seoul Walking Tour Courses Using Telecommunications Data

통신 데이터를 활용한 도보관광코스 유동인구 추정 및 분석

  • 박예림 (이화여자대학교 일반대학원 사회과교육학과 지리학 전공) ;
  • 강영옥 (이화여자대학교 사회과교육과)
  • Received : 2019.05.03
  • Accepted : 2019.06.18
  • Published : 2019.06.30
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Abstract

This study aims to analyze the spatial context by analyzing the flow characteristics of the walking tour course and visualizing effectively using the floating population data constructed through the communication data. The floating population data refinement algorithm was developed for estimation flow population along the road and the floating population data for each walking tour courses was constructed. In order to adopt the algorithm for forming suitable for the analysis of the walking tour courses, the estimation of floating population considering the area of the road and the estimation of floating population considering the value of floating population around the road were compared. As a result, the estimation of floating population considering ambient the values of flow population was adopted, which is more appropriate to apply analysis method due to the relatively consistent data. Then, a datamining algorithm for walking tour course was constructed according to the characteristics of the floating population data, the absence of missing values. Finally, this study analyzed the flow characteristics and spatial patterns of 18 walking trails in Seoul through the floating population data according to walking tour course. To do this, the kernel density analysis and the Getis-Ord $G^*_i$ statistical hotspot analysis were applied to visualize the main characteristics of each walking tour course.

본 연구의 목적은 통신 데이터를 통해 구축한 유동인구 데이터를 활용하여 서울시 도심도보관광코스 내 유동인구 특성을 파악하고 효과적으로 시각화하여 공간적인 맥락을 분석하는 것이다. 도로에 따른 유동인구 추정을 위해 유동인구 데이터 정제 기법을 개발하여 도보관광코스 별 유동인구 데이터를 구축하였다. 도보관광코스 분석에 적합한 형태로 정제하기 도로 주변 유동인구 값을 고려한 유동인구 추정하여 도보관광코스 내 유동인구를 할당하였다. 정제된 데이터를 바탕으로 서울도보관광 18개 코스 각각의 유동인구 특성과 공간 특성을 도출하였다. 도보관광코스 내 유동인구의 공간 밀도와 집중 구간을 분석하기 위해 커널 밀도분석과 Getis-Ord $G^*_i$ 통계를 적용하였으며 3D 시각화를 통해 서울도보관광 18개 코스별 유동인구 특성을 성, 연령, 시간, 요일에 따라 정량적으로 파악하였다. 그 결과 청계천 제1코스, 경희궁-서대문코스, 인사동-운현궁 코스 순으로 유동인구 규모가 크게 나타났으며 주중에는 인사동-운현궁, 주말에는 성북동 코스의 유동인구가 많았다. 남성 유동인구 비율이 가장 높은 코스는 청계천 제1코스, 여성 유동인구 비율이 가장 높은 코스는 몽촌토성 코스였다. 주말 유동인구 비율이 가장 높은 도보관광코스는 성북동 코스임을 확인할 수 있었다.

Keywords

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Figure 1. Floating Population Data (Each grid size is 50 * 50 m)

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Figure 2. Research Flow

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Figure 3. Data preprocessing to allocate flow population to road

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Figure 4. Estimation of Flow Population Considering Road Area

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Figure 5. Data preprocessing to allocate flow population to road considering Road Buffer

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Figure 6. Flooding population estimation results by data processing method (number designates floating population)

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Figure 7. Split walking tour course by 10 meters

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Figure 9. Preprocessing of flow population data in case of data missing in parks and palaces

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Figure 8. Examples of data missing in parks and palaces

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Figure 10. Daily average floating population per unit distance of walking tour course

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Figure 11. Floating population of the walking tour course by the time (part)

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Figure 12. Floating population of the walking tour course by day

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Figure 13. Floating population of the walking tour course by age and gender

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Figure 14. Man’s seasonal Hot Spot in Changgyeonggung

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Figure 15. Mongchon Rampart seasonal Hot Spot

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Figure 16. KDE of Cheonggyecheon 2 course

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Figure 17. KDE of Traditional Market course

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