교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석

서지정보

ㆍ발행기관 : 대한교통학회 ㆍ수록지정보 : 대한교통학회지 / 31권 / 4호
ㆍ저자명 : 빈미영, 이원도, 문주백, 조창현

목차

Ⅰ. 서론
Ⅱ. 이론적 고찰
Ⅲ. 교통인프라와 통행행태
Ⅳ. 형평성 분석 결과
Ⅴ. 결론 및 시사점

한국어 초록

This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking
both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure
include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns
information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis
and global/local regression analyses. The analysis results identified geographical areas of four different classes of
transportation equity, from the area with high level infrastructure surrounded by the areas with high level
infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type
showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal
trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that
number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level
of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and
ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between
geographical areas in Gyonggi Province.

영어 초록

This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by takingboth the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructureinclude the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concernsinformation from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysisand global/local regression analyses. The analysis results identified geographical areas of four different classes oftransportation equity, from the area with high level infrastructure surrounded by the areas with high levelinfrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH typeshowed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internaltrip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed thatnumber of passengers, number of transfers, number of internal trips and mean travel speed are important to the levelof transportation infrastructure. GWR with these four significant variables significantly improved the AICs andANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently betweengeographical areas in Gyonggi Province.

참고 자료

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