Big data and smat city planning: The case of Owl Bus in Seoul

Sounman Hong, Youngrok Kim, Jeongin Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is optimism that government use of »big data» will improve the outcomes of public policies. Despite such optimism, however, little evidence exits on the role big data can play in improving government service. In this study, we undertake one of the first quantitative studies showing the potential utility and limitations of »big data-based policymaking.» We explore the recent use of big data in the policymaking of the Seoul Metropolitan Government. In 2013, the government introduced the »Owl Bus» - a late night bus system - whose routes were selected based on government analyses of big data relating to citizens' late night taxi and mobile phone use. The findings suggest that the average number of passengers on the Owl Bus routes was significantly greater than on other daytime bus routes with comparable characteristics. That said, we also present the potential limitations of evidence-based policymaking in general, especially when politics and equity considerations are factored into the policymaking.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
EditorsYang Song, Bing Liu, Kisung Lee, Naoki Abe, Calton Pu, Mu Qiao, Nesreen Ahmed, Donald Kossmann, Jeffrey Saltz, Jiliang Tang, Jingrui He, Huan Liu, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4492-4500
Number of pages9
ISBN (Electronic)9781538650356
DOIs
Publication statusPublished - 2019 Jan 22
Event2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States
Duration: 2018 Dec 102018 Dec 13

Publication series

NameProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference2018 IEEE International Conference on Big Data, Big Data 2018
CountryUnited States
CitySeattle
Period18/12/1018/12/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Fingerprint Dive into the research topics of 'Big data and smat city planning: The case of Owl Bus in Seoul'. Together they form a unique fingerprint.

  • Cite this

    Hong, S., Kim, Y., & Park, J. (2019). Big data and smat city planning: The case of Owl Bus in Seoul. In Y. Song, B. Liu, K. Lee, N. Abe, C. Pu, M. Qiao, N. Ahmed, D. Kossmann, J. Saltz, J. Tang, J. He, H. Liu, & X. Hu (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 4492-4500). [8622632] (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2018.8622632