Author

Seungil Yum

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Open access Sep 2026

Analysis of Future Green Space Changes in Cities and Counties of Chungcheongbuk-do Using AI-based Machine Learning

This study analyzes changes in green space area across 11 cities and counties in Chungcheongbuk-do and develops future projection data under Shared Socioeconomic Pathways (SSP)1-2.6 and SSP5-8.5 climate scenarios using machine learning and explainable artificial intelligence techniques. Ordinary least squares (OLS) reg...

Seungil Yum, Tae Seung Go, Dayun Go et al. · GEO DATA · 0 citations

인공지능 기반 머신러닝을 활용한 미래 충청북도 시군 녹지 면적 변화

The results indicate that green space changes are explained more strongly by population density and land-use structure than by climate variables, which can support future studies on climate change adaptation, urban planning, environmental management, and sustainable land-use policy.

승일 염, Seungil Yum, Tae Seung Go et al. · 0 citations

Review Sep 2026

How can we satisfy disaster victims for natural disaster response and recovery?

This study examines disaster victims’ evaluations of government policies and programs during the response and recovery phases, focusing on sociodemographic factors, types of damage, and social support. Using data from the 2022 Disaster Victims Panel Survey in South Korea and hierarchical linear regression analysis, the...

Seungil Yum · Journal of Emergency Managem... · 0 citations