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

Fingerprint

Urban planning
Mobile phones
Big data

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

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
Hong, Sounman ; Kim, Youngrok ; Park, Jeongin. / Big data and smat city planning : The case of Owl Bus in Seoul. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. editor / Yang 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. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 4492-4500 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).
@inproceedings{f7f97dfe3b3d40a4a700eb9ed87f4894,
title = "Big data and smat city planning: The case of Owl Bus in Seoul",
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.",
author = "Sounman Hong and Youngrok Kim and Jeongin Park",
year = "2019",
month = "1",
day = "22",
doi = "10.1109/BigData.2018.8622632",
language = "English",
series = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4492--4500",
editor = "Yang Song and Bing Liu and Kisung Lee and Naoki Abe and Calton Pu and Mu Qiao and Nesreen Ahmed and Donald Kossmann and Jeffrey Saltz and Jiliang Tang and Jingrui He and Huan Liu and Xiaohua Hu",
booktitle = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",
address = "United States",

}

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., 8622632, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, Institute of Electrical and Electronics Engineers Inc., pp. 4492-4500, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 18/12/10. https://doi.org/10.1109/BigData.2018.8622632

Big data and smat city planning : The case of Owl Bus in Seoul. / Hong, Sounman; Kim, Youngrok; Park, Jeongin.

Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. ed. / Yang 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. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4492-4500 8622632 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

TY - GEN

T1 - Big data and smat city planning

T2 - The case of Owl Bus in Seoul

AU - Hong, Sounman

AU - Kim, Youngrok

AU - Park, Jeongin

PY - 2019/1/22

Y1 - 2019/1/22

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85062637679&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062637679&partnerID=8YFLogxK

U2 - 10.1109/BigData.2018.8622632

DO - 10.1109/BigData.2018.8622632

M3 - Conference contribution

T3 - Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

SP - 4492

EP - 4500

BT - Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

A2 - Song, Yang

A2 - Liu, Bing

A2 - Lee, Kisung

A2 - Abe, Naoki

A2 - Pu, Calton

A2 - Qiao, Mu

A2 - Ahmed, Nesreen

A2 - Kossmann, Donald

A2 - Saltz, Jeffrey

A2 - Tang, Jiliang

A2 - He, Jingrui

A2 - Liu, Huan

A2 - Hu, Xiaohua

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

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