Analysis of Score Acquisition Characteristics in the Ecological Environment Category of Green Building Certification for Residential Buildings - Focused on Certification Data from 2017 to 2024 -

Purpose: This study evaluates the practical effectiveness and discriminative integrity of the ‘Ecological Environment’ category within the G-SEED (Green Standard for Energy and Environmental Design) framework. Given the increasing importance of carbon neutrality and climate crisis response, it aims to provide robust empirical evidence for future standard revisions by diagnosing the current difficulty levels and differentiation capabilities of specific certification items. Method: The research conducted a comprehensive analysis of preliminary certification data from 3,018 residential buildings, categorized into General and Multi-family housing, approved between 2017 and 2024. Statistical analysis primarily focused on normalized achievement rates, grade distributions, and non-achievement frequencies for each assessment item to identify structural imbalances. Result: The findings reveal that average achievement rates were significantly low, recorded at 14.1% for General Housing and 24.0% for Multi-family Housing. Notably, the high-point item ‘Ecological Area Ratio’ demonstrated a severe loss of discriminative power, with 99.4% of General Housing cases clustered in the lowest achievement levels, leading to score reversals across certification grades. Furthermore, extreme non-achievement rates, such as 92.4% for ‘Linked Green Networks’ in Multi-family Housing, highlight the critical obsolescence of certain criteria in contemporary practical design.

Authors

Publication Details

Journal
KIEAE Journal
Published
2026-04-30
DOI
https://doi.org/10.12813/kieae.2026.26.2.071
Primary Topic
Energy and Environmental Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Score Acquisition Characteristics in the Ecological Environment Category of Green Building Certification for Residential Buildings - Focused on Certification Data from 2017 to 2024 -

Daehee Jang, Yosun Yun, Kyungjoo Cho, Sungmo Seo et al.
KIEAE Journal
Energy and Environmental Systems
article

Analysis of Score Acquisition Characteristics in the Ecological Environment Category of Green Building Certification for Residential Buildings - Focused on Certification Data from 2017 to 2024 -

Daehee Jang, Yosun Yun, Kyungjoo Cho, Sungmo Seo, Minju Kim
article en

Abstract

Purpose: This study evaluates the practical effectiveness and discriminative integrity of the ‘Ecological Environment’ category within the G-SEED (Green Standard for Energy and Environmental Design) framework. Given the increasing importance of carbon neutrality and climate crisis response, it aims to provide robust empirical evidence for future standard revisions by diagnosing the current difficulty levels and differentiation capabilities of specific certification items. Method: The research conducted a comprehensive analysis of preliminary certification data from 3,018 residential buildings, categorized into General and Multi-family housing, approved between 2017 and 2024. Statistical analysis primarily focused on normalized achievement rates, grade distributions, and non-achievement frequencies for each assessment item to identify structural imbalances. Result: The findings reveal that average achievement rates were significantly low, recorded at 14.1% for General Housing and 24.0% for Multi-family Housing. Notably, the high-point item ‘Ecological Area Ratio’ demonstrated a severe loss of discriminative power, with 99.4% of General Housing cases clustered in the lowest achievement levels, leading to score reversals across certification grades. Furthermore, extreme non-achievement rates, such as 92.4% for ‘Linked Green Networks’ in Multi-family Housing, highlight the critical obsolescence of certain criteria in contemporary practical design.

KIEAE JournalVol. 26(2)
Life in Land
Openalex Percentile: Top 7%
Energy and Environmental Systems
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.