Science & Technology Review >

2017 , Vol. 35 >Issue 21: 131 - 137

DOI: https://doi.org/10.3981/j.issn.1000-7857.2017.21.016

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Big data-driven smart city:Some thoughts

  • MA Xinqiang ,
  • LIU Yong ,
  • FAN Jing ,
  • HUANG Yi ,
  • WU Maonian ,
  • ZHANG Mingyi
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  • 1. College of Computer Science and Technology, Guizhou University, Guiyang 550025, China;
    2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310007, China;
    3. Key Laboratory of Machine Vision & Intelligent Information System, Chongqing University of Arts and Sciences, Chongqing 412060, China;
    4. School of Information Engineering, Huzhou University, Huzhou 313000, China

Received date: 2017-03-23

  Revised date: 2017-04-20

  Online published: 2017-11-16

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Abstract

In the construction of smart city, the depth development of Internet, Internet of things, communication networks and large-scale intelligent services will result in massive, heterogeneous, multi-source big spatio-temporal urban data. In the era of big data, we should think deeply about the construction of smart city. How to deal with these large-scale and complicated urban data is facing enormous challenges, including data collection, sensing, storage, management, mining, visualization and efficient services. In this paper we mainly discuss the driving effects of big data on smart city in the views of technology, legislation and management. We analyze the features and applications of big spatio-temporal urban data in two directions, point out the importance of legislation from the perspective of data assets, and summarize the management of smart city in terms of policy management, rewards and punishments, and market mechanisms. Finally, we put forward some thoughts on the construction of smart city driven by big data.

Key words： smart city; big data; urban computing; data mining; visual analysis

Cite this article

MA Xinqiang , LIU Yong , FAN Jing , HUANG Yi , WU Maonian , ZHANG Mingyi . Big data-driven smart city:Some thoughts[J]. Science & Technology Review, 2017 , 35(21) : 131 -137 . DOI: 10.3981/j.issn.1000-7857.2017.21.016

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