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A Bike Mode Share Estimation Model and Analysis of the Bike Demand Factor Effects  

Lee, Gyu-Jin (아주대학교 건설교통공학과)
Choe, Gi-Ju (아주대학교 교통시스템공학)
Publication Information
Journal of Korean Society of Transportation / v.28, no.3, 2010 , pp. 145-155 More about this Journal
Abstract
As the green transportation mode, revitalization of bike usage attracts remarkable public attention. For the acquirement of effective outcome, however, the concrete and close analysis about bike utilization characteristics should be arranged first. One result by MLTM(2009) is support this opinion; the bike mode share has been decreased whereas 9,170km of the bicycle path was improved(1995~2007). This study analyzed the bike mode share classified by trip types by using the 303,308 data of Household Travel Survey of Seoul Metropolitan Area, 2006. The highest mode share rate was induced by the institute attendee and Officetel resident as 3.75% and 3.13%, respectively. Also this study established the bike mode share estimation model of Seoul by logistic regression, and analyzed related factors and level of effectiveness related bike demand by calculation of odds ratio in terms of logistic regression coefficients. In conclusion, short trips, institutes district, parks, and Officetel residential area oriented policy should be effective on the revitalization of bike usage.
Keywords
Household Travel Survey; Green Transportation; Bicycle; Mode Share; Logistic Regression Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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