Asia Pacific Journal of Information Systems (APJIS)

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Current Issue

Date	September 2019
Vol. No.	Vol. 29 No. 3
DOI	https://doi.org/10.14329/apjis.2019.29.3.414
Page	414~427
Title	Riding a Bike Not Owned by Me in Bad Air: Big Data Analysis on Bike Sharing
Author	Taekyung Kim
Keyword	Sharing Economy, Big Data Analysis, Air Quality, Bike Sharing
Abstract	The sharing economy has significantly changed the way of living for years. The emergence and expansion of sharing economy empowered by the mobile information technologies and intellectual algorithms reconfigure how people use transportation means. In this paper, the bike sharing phenomenon is highlighted. Combining a big data set provided by the Seoul government about user logs and air quality data set, the empirical findings reveal that temperature change is tightly associated bike sharing activities. Also, the concentration of particulate matter is weakly related to bike sharing, but the trend should be carefully examined. By considering external environmental factors to bike sharing businesses, this work is differentiated. To further understand empirical data, data mining methods and econometric approaches were adopted.