도시 공간 특성이 교통에너지 소비에 미치는 영향

• 영문명: The Impact of Urban Spatial Form on Energy Consumption in the Transportation Sector
• 발행기관: 한국지역개발학회
• 저자명: 김경태(Kim Kyung Tae) 송재민(Song Jae Min)
• 간행물 정보: 『한국지역개발학회지』제27권 제2호, 117~137쪽, 전체 21쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2015.06.30

영문 초록

Transportation sector is the largest source of energy demand and associated greenhouse gas emissions, accounting for approximately 20% of the total domestic energy demand in Korea. The rapid increase of its energy demand driven by the economic and population growth calls for the urgent solutions. Urban form has been a subject of interest both academically and in practice with a link to sustainable transportation. Urban form influences travel behaviors and patterns of the citizens, thus impacting associated energy consumption in a city. Against this backdrop, this study aims to examine the association of urban form and energy consumption in the transportation sector, conducting a multiple regression analysis and spatial autocorrelation analysis for 225 local municipalities in Korea. Characteristics of urban form were identified at various levels: macro urban form, internal urban spatial distribution and connectivity. In addition, corresponding indices to measure each of the characteristics were introduced including population and housing density, Moran’s I index, Gini coefficient, road coverage and the ratio of major roads. A test for the spatial autocorrelation indicates its existence in the model and further Lagrange Multiplier test identifies a spatial error model as an appropriate model. The results indicate that cities with higher density with equal distribution of population are likely to consume less transportation energy. Besides, the supply of roads encourages more travels using private cars, which is not a good option for a sustainable and climate change resilient city.

목차

1. 서 론

2. 이론적 배경 및 선행연구 검토

3. 분석의 틀

4. 분석결과

5. 결론 및 시사점

주

참 고 문 헌

키워드

도시형태(Urban Form) 교통에너지(Transportation Energy) 공간자기상관(Spatial Autocorrelation) 지니계수(Gini Coefficient) 모란지수(Morans' I)