빅데이터를 활용한 북한 도로 인프라 특성 분석

A Study of Road Infrastructure Characteristics in North Korea using Big Data

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.