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CLC number: TP399

On-line Access: 2024-02-23

Received: 2023-07-04

Revision Accepted: 2024-02-23

Crosschecked: 2023-11-06

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Citations:  Bibtex RefMan EndNote GB/T7714


Zhiguang SHAN




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Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.2 P.286-307


Empowering smart city situational awareness via big mobile data

Author(s):  Zhiguang SHAN, Lei SHI, Bo LI, Yanqiang ZHANG, Xiatian ZHANG, Wei CHEN

Affiliation(s):  State Information Center, Beijing 100045, China; more

Corresponding email(s):   shanzg@sic.gov.cn, leishi@buaa.edu.cn, libo@act.buaa.edu.cn, zhangyanqiang@163.com

Key Words:  Smart city, Mobile data, Situational awareness

Zhiguang SHAN, Lei SHI, Bo LI, Yanqiang ZHANG, Xiatian ZHANG, Wei CHEN. Empowering smart city situational awareness via big mobile data[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 286-307.

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publisher="Zhejiang University Press & Springer",

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T1 - Empowering smart city situational awareness via big mobile data
A1 - Zhiguang SHAN
A1 - Lei SHI
A1 - Bo LI
A1 - Yanqiang ZHANG
A1 - Xiatian ZHANG
A1 - Wei CHEN
J0 - Frontiers of Information Technology & Electronic Engineering
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2300453

smart city situational awareness has recently emerged as a hot topic in research societies, industries, and governments because of its potential to integrate cutting-edge information technology and solve urgent challenges that modern cities face. For example, in the latest five-year plan, the Chinese government has highlighted the demand to empower smart city management with new technologies such as big data and Internet of Things, for which situational awareness is normally the crucial first step. While traditional static surveillance data on cities have been available for decades, this review reports a type of relatively new yet highly important urban data source, i.e., the big mobile data collected by devices with various levels of mobility representing the movement and distribution of public and private agents in the city. We especially focus on smart city situational awareness enabled by synthesizing the localization of hundreds of thousands of mobile software Apps using the Global Positioning System (GPS). This technique enjoys advantages such as a large penetration rate (~50% urban population covered), uniform spatiotemporal coverage, and high localization precision. We first discuss the pragmatic requirements for smart city situational awareness and the challenges faced. Then we introduce two suites of empowering technologies that help fulfill the requirements of (1) cybersecurity insurance for smart cities and (2) spatiotemporal modeling and visualization for situational awareness, both via big mobile data. The main contributions of this review lie in the description of a comprehensive technological framework for smart city situational awareness and the demonstration of its feasibility via real-world applications.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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