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Riding a Bike Not Owned by Me in Bad Air : Big Data Analysis on Bike Sharing

  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 권호(발행년)
    제29권 제3호 (2019.09) 바로가기
  • 페이지
    pp.414-427
  • 저자
    Taekyung Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A362459

원문정보

초록

영어
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.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Research Background
2.1. Sharing Economy
2.2. Bike Sharing Service
2.3. Air Quality Issue in Korea
Ⅲ. Big Data Analysis and Result
3.1. Big Data Source
3.2. Descriptive Analysis
3.3. Effects of the Concentration of PM on Bike Sharing
Ⅳ. Conclusion

저자

  • Taekyung Kim [ Assistant Professor, School of Business Administration, University of Suwon, Korea ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658