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논문 기본 정보

자료유형
학술저널
저자정보
성현곤 (Chungbuk National University) 손동욱 (Yonsei University)
저널정보
대한국토·도시계획학회 국토계획 國土計劃 第55卷 第1號(通卷 第247號)
발행연도
2020.2
수록면
54 - 68 (15page)
DOI
10.17208/jkpa.2020.02.55.1.54

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초록· 키워드

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Recent policy emphasis in the fields of urban and transport planning has been focused on reduction of vehicle miles traveled. Therefore, many empirical studies have tried to respectively identify either how mode choice private car is chosen against alternative transport ones or how much travel time by car is determined, not simultaneously both of them. However, such an unintentionally separated approach may give a bias on the estimation of actual private car travel time. This study is aimed at Identifying the unintentionally unrevealed impact of private car mode choice and its travel time in commuting, focusing on the multilevel determinant measures of individual, household, and residential area in the Seoul metropolitan region in Korea. Using the 2% sample raw data of the 2015 total population survey, the study employed the multilevel Tobit model to estimate private car commuting time with the latent variable of its mode choice against active modes. This is a combined model of the multilevel probit model for binomial mode choice and the multilevel linear regression model for private car commuting time. Comparing the two respective sub-models for mode choice and time of commuting, analysis results on the multilevel Tobit model demonstrate that there exist unintentionally but unrevealed effects in estimating actual private car commuting time in simultaneously considering individual behavior on mode choice and travel time. Such impacts are found in several determinant factors at all levels. The other conclusion coming from the analysis results is that reducing the probability of choosing private car on commuting is more effective than decreasing its commuting time from the perspective of actual consumed time.

목차

Abstract
Ⅰ. 서론
Ⅱ. 선행연구 고찰과 본 연구의 차별성
Ⅲ. 분석자료와 방법론
Ⅳ. 모형의 통계량과 진단
Ⅴ. 결과의 토의
Ⅵ. 결론 및 시사점
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UCI(KEPA) : I410-ECN-0101-2020-539-000420766