Spatial distribution characteristics of building sector carbon emissions in Yongin City: Applying GIS spatial analysis methods

This study analyzes the spatial distribution characteristics of carbon emissions from the building sector of Yongin City using geographic information system (GIS) spatial analysis at a micro-spatial scale and derives implications for carbon reduction. To examine the spatial patterns of building-sector carbon emissions, hotspot and local indicators of spatial association (LISA) analyses were conducted. The results show that clusters with high carbon emissions are concentrated in newly developed urban areas, namely Jukjeon and Pungdeokcheon in the Suji District, and Bojeong, Yeongdeok, and Dongbaek in the Giheung District. The implications of carbon reduction in Yongin City are as follows. First, achieving carbon neutrality requires the establishment of a comprehensive greenhouse gas reduction plan that incorporates microlevel spatial units within the building sector. Second, urban spatial planning strategies that reflect the characteristics of energy use and carbon emissions from buildings should be developed to reduce these emissions effectively. Third, it is necessary to designate spatially based carbon management zones centered on the hotspots and High-Hhgh cluster areas identified in this study. This study contributes to the literature by providing practical implications for carbon reduction through a microscale spatial analysis of building-sector carbon emissions in Yongin City.

Authors

Publication Details

Journal
Journal of Climate Change Research
Published
2026-04-30
DOI
https://doi.org/10.15531/ksccr.2026.17.2.269
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial distribution characteristics of building sector carbon emissions in Yongin City: Applying GIS spatial analysis methods

Kwan Hyun Yeo
Journal of Climate Change Research
Diverse Approaches in Healthcare and Education Studies
article

Spatial distribution characteristics of building sector carbon emissions in Yongin City: Applying GIS spatial analysis methods

Kwan Hyun Yeo
article en

Abstract

This study analyzes the spatial distribution characteristics of carbon emissions from the building sector of Yongin City using geographic information system (GIS) spatial analysis at a micro-spatial scale and derives implications for carbon reduction. To examine the spatial patterns of building-sector carbon emissions, hotspot and local indicators of spatial association (LISA) analyses were conducted. The results show that clusters with high carbon emissions are concentrated in newly developed urban areas, namely Jukjeon and Pungdeokcheon in the Suji District, and Bojeong, Yeongdeok, and Dongbaek in the Giheung District. The implications of carbon reduction in Yongin City are as follows. First, achieving carbon neutrality requires the establishment of a comprehensive greenhouse gas reduction plan that incorporates microlevel spatial units within the building sector. Second, urban spatial planning strategies that reflect the characteristics of energy use and carbon emissions from buildings should be developed to reduce these emissions effectively. Third, it is necessary to designate spatially based carbon management zones centered on the hotspots and High-Hhgh cluster areas identified in this study. This study contributes to the literature by providing practical implications for carbon reduction through a microscale spatial analysis of building-sector carbon emissions in Yongin City.

Journal of Climate Change ResearchVol. 17(2)
Sustainable cities and communities
Openalex Percentile: Top 5%
Diverse Approaches in Healthcare and Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.