지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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This study aims at investigating the impact of housing affordability and residential environment on commuting pattern by two empirical models: aggregated regression model and disaggregated multi-level logit model. The 2010 household travel survey data and communities’ statistics are used for the estimation. The main results are summarized as follows: First, housing affordability and education environment affect inter-commuting ratio increase. Second, after controlling the employment concentration effect, the quantitative jobs-housing balance do not affect commuting efficiency calculated by internal commuting ratio and commuting time. These results provide policy implications for the more efficient urban structure. First, high density business center and residential development would be better than dispersed development under the condition of well balanced jobs-housing ratio. Second, The Provision of small-sized affordable housing can be very effective in order to improve the commuting efficiency.
목차
Abstract
Ⅰ. 서론
Ⅱ. 선행연구 검토
Ⅲ. 분석모형 및 기초통계분석
Ⅳ. 분석결과
Ⅵ. 결론
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UCI(KEPA) : I410-ECN-0101-2014-539-001026169