자전거 수단분담률에 영향을 미치는 요인 분석 : 토빗회귀분석을 이용하여 (An Analysis of the Determinants of Bicycle Mode Share using Tobit Regression Model)

서지정보

· 발행기관 : 한국지역개발학회
· 수록지 정보 : 한국지역개발학회지 / 22권 / 3호 / 149 ~ 164페이지
· 저자명 : 박진경, 이준

초록

Non-motorized forms of transportation modes include bicycling and walking, low-carbon green modes, have advantages over both reducing environmental damage and improving public health. The characteristics of bicycle use are very different from the characteristics of car and public transport use, with the former being influenced by factors such as the weather and the physical effort needed. Therefore the conventional knowledge on mode choice models is not sufficient for developing bicycle policies.
This paper investigate the determinants for influencing bicycle in order to underpin policies that encourage bicycling using Tobit regression model. The paper subdivides the determinants into four categories. First, we examine the relationship between the environment and the travel behavior: built environment. Second, we focus on the natural environment, including weather conditions and climate. Third, we consider determinants of composed of socioeconomic variables such as gender, income, vehicle ownership and household structure. Forth, we discuss a few of aspects related to institutional and cultural factors.
The main development of the model is described in detail. The results show that the type of bicycle infrastructure matters and potential bicycle users prefer separate bicycle lanes. Also, in contrast to motorized transport, cyclists consider rain to be most negative weather aspect. Lastly, the results show that not only the institutional will of local government to act but also perceived social norms are key factors affecting bicycle mode share.

영어초록

Non-motorized forms of transportation modes include bicycling and walking, low-carbon green modes, have advantages over both reducing environmental damage and improving public health. The characteristics of bicycle use are very different from the characteristics of car and public transport use, with the former being influenced by factors such as the weather and the physical effort needed. Therefore the conventional knowledge on mode choice models is not sufficient for developing bicycle policies.
This paper investigate the determinants for influencing bicycle in order to underpin policies that encourage bicycling using Tobit regression model. The paper subdivides the determinants into four categories. First, we examine the relationship between the environment and the travel behavior: built environment. Second, we focus on the natural environment, including weather conditions and climate. Third, we consider determinants of composed of socioeconomic variables such as gender, income, vehicle ownership and household structure. Forth, we discuss a few of aspects related to institutional and cultural factors.
The main development of the model is described in detail. The results show that the type of bicycle infrastructure matters and potential bicycle users prefer separate bicycle lanes. Also, in contrast to motorized transport, cyclists consider rain to be most negative weather aspect. Lastly, the results show that not only the institutional will of local government to act but also perceived social norms are key factors affecting bicycle mode share.

참고자료

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