빅데이터를 활용한 북한 도로 인프라 특성 분석

• 영문명: A Study of Road Infrastructure Characteristics in North Korea using Big Data
• 발행기관: 한국지역개발학회
• 저자명: 김철민(Kim, Chulmin)
• 간행물 정보: 『한국지역개발학회지』제32권 제1호, 27~45쪽, 전체 19쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2020.03.30

영문 초록

This study analyzed the road infrastructure of North Korea through big data analysis. Google Distance Matrix API was used to crawling data. Based on the collected data, the Shimbel index was calculated and the spatial autocorrelation was examined. The results of autocorrelation analysis showed that the road infrastructure of North Korea has spatially clustered. Result of hot spot analysis, Pyongyang and Hwanghae province has good road infrastructure but Chagang has poor. Finally, the condition of road infrastructure was visualized through Kernel Density Estimation. It is interesting that the development of a specialized zone in North Korea does not affect the surrounding area. This study suggests a new direction of North Korean spatial research using a differentiated method. It suggests the possibility of application to accessibility research not only in North Korea but also in other developing countries.

목차

1. 서 론

2. 북한의 도로 인프라 현황

3. 도로 인프라 측정 및 공간분석 방법론

4. 실증분석

5. 결론 및 정책적 시사점

참고문헌

키워드

북한 도로망 구글맵 API 공간자기상관 핫스팟 분석 커널밀도추정 North Korea road infrastructure Google Map API Spatial Autocorrelation Hot spot analysis Kernel Density Estimation