메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
박진경 (한국지방행정연구원) 이준 (한국철도기술연구원)
저널정보
한국지역개발학회 한국지역개발학회지 한국지역개발학회지 제22권 제3호
발행연도
2010.9
수록면
149 - 164 (16page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
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.

목차

Abstract
1. 서론
2. 선행연구 고찰
3. 분석방법과 자료
4. 분석결과
5. 결론

참고문헌

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0