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http://dx.doi.org/10.7470/jkst.2016.34.5.394

Impact Analysis of Weather Condition and Locational Characteristics on the Usage of Public Bike Sharing System  

LEE, Jang-Ho (Department of Railroad Facility Engineering, Korea National University of Transportation)
JEONG, Gyeong Ok (Department of Transport Safety and Highway, The Korea Transport Institute)
SHIN, Hee Cheol (Department of Transport Safety and Highway, The Korea Transport Institute)
Publication Information
Journal of Korean Society of Transportation / v.34, no.5, 2016 , pp. 394-408 More about this Journal
Abstract
This study aims to study the impact of weather conditions and locational characteristics of bike stations on the usage of public bike sharing system for efficient deployment and operation of public bike systems. Linear regression analysis is used to estimate the usage of public bikes of Goyang city. The statistical analysis shows that the usage rate increases with average temperature and decreases under high wind (over 7m/s) or high temperature (over $29^{\circ}$) condition. The usage rate of public bike sharing system can be differentiated by locational characteristics of bike station such as residential area, commercial area, park, school, and metro station. The usage rate increases in park and commercial areas from 10 AM to 3 PM, while it increases in school areas from 3 PM to 5 PM. Public bikes are highly used near the metro station from 5 PM to 8 PM. The stations in parks are highly used in late night, and the usage rate in CBD area increases after the midnight.
Keywords
linear regression model; locational characteristics; public bike; time of day; weather condition;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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