Perceived Features of Cycling and Value of Public Bike System

Abstract

In this study our main focus is to verify the relationship between social value of transportation system and its perceived features. To achieve this objective, we investigated the value of public bike system (PBS) through willingness to pay (WTP) analysis using contingent valuation method (CVM) and the survey was conducted for 1726 respondents who live in Suwon, Korea. Moreover the determinants related to features related to bicycle use were also gathered. The estimated binary logistic regression and censored regression reveal that the value of PBS is influenced by perceived features towards bicycle use incorporating non-congestion, transportation mode like auto and bus, and high mobility system as well as other variables such as income, bicycle ownership etc. Furthermore the results show that the perceiving of positive features to bicycle use leads to higher social value of PBS. Based on the findings, we discuss the importance of pre-review for transport policy implementation, and also explore the possibilities for application to PBS.

An Analysis of Factors Affecting the Intention to Install Residential Firefighting Systems Using Binary Logit Model: Focused on Gangwon-do

“…( 2)와 같이 변환하면, 선형 회귀모형의 형태를 가지게 되며 이와 같은 변환을 로지스틱 변환(logistic transformation) 이라 한다. 여기서 추정된   의 부호가 양인 경우 해당변수는 소방시설 설치여부의 확률적 증가에 영향을 미친다고 해석 할 수 있으며, 부호가 음인 경우 확률이 감소함을 의미한다 (Kim et al, 2015).…”