@article{ART003200157},
author={SangWon Oh and Juchul Jung},
title={Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2025},
volume={34},
number={2},
pages={47-67}
TY - JOUR
AU - SangWon Oh
AU - Juchul Jung
TI - Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors
JO - Journal of Environmental Impact Assessment
PY - 2025
VL - 34
IS - 2
PB - Korean Society Of Environmental Impact Assessment
SP - 47
EP - 67
SN - 1225-7184
AB - This study aims to analyze regional energy consumption characteristics in South Korea and classify regions based on key influencing factors. South Korea relies heavily on imported energy, making the implementation of effective energy consumption reduction policies an urgent necessity.
Understanding energy consumption characteristics at the municipal level and exploring region-specific policy response strategies are crucial for achieving sustainable energy management.
In this study, factor analysis and cluster analysis were conducted for municipalities in general provinces to identify key regional energy consumption characteristics and influencing factors, leading to the classification of distinct regional types. The analysis identified five major factors: metropolitan factor, urban density factor, non-urban factor, industrial city factor, and manufacturing city factor.
Based on these factors, nine clusters were derived. The examination of energy consumption characteristics within each cluster revealed that metropolitan-centered clusters exhibited relatively higher energy consumption in the residential, commercial, transportation, and public sectors, whereas industrial city clusters showed a notably higher proportion of energy consumption in the industrial sector. These findings suggest that regional energy consumption patterns vary depending on urban structure and industrial distribution.
This study contributes to the detailed classification of regional energy consumption patterns and provides insights into policy directions that consider the unique characteristics of each region.
However, there may be subtle variations among regions within the same cluster, which should be taken into account in further analyses. To refine policy implications, future research should incorporate multi-year data for quantitative analysis. Additional research and expanded data collection will help enhance the reliability of the findings and broaden the applicability of the results in policy development.
KW - Energy consumption characteristics;regional categorization;factor analysis;cluster analysis
DO -
UR -
ER -
SangWon Oh and Juchul Jung. (2025). Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors. Journal of Environmental Impact Assessment, 34(2), 47-67.
SangWon Oh and Juchul Jung. 2025, "Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors", Journal of Environmental Impact Assessment, vol.34, no.2 pp.47-67.
SangWon Oh, Juchul Jung "Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors" Journal of Environmental Impact Assessment 34.2 pp.47-67 (2025) : 47.
SangWon Oh, Juchul Jung. Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors. 2025; 34(2), 47-67.
SangWon Oh and Juchul Jung. "Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors" Journal of Environmental Impact Assessment 34, no.2 (2025) : 47-67.
SangWon Oh; Juchul Jung. Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors. Journal of Environmental Impact Assessment, 34(2), 47-67.
SangWon Oh; Juchul Jung. Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors. Journal of Environmental Impact Assessment. 2025; 34(2) 47-67.
SangWon Oh, Juchul Jung. Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors. 2025; 34(2), 47-67.
SangWon Oh and Juchul Jung. "Regional Classification and Characteristic Analysis Based on Energy Consumption Patterns and Influencing Factors" Journal of Environmental Impact Assessment 34, no.2 (2025) : 47-67.
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