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基于时空位置大数据的公共疫情防控服务让 城市更智慧.

Authors :
李德仁
邵振峰
于文博
朱欣焰
周素红
Source :
Geomatics & Information Science of Wuhan University. Apr2020, Vol. 45 Issue 4, p475-556. 14p.
Publication Year :
2020

Abstract

Smart cities cannot be separated from spatiotemporal location big data. This paper summarizes the needs of spatiotemporal location big data for public epidemic events at home and abroad, investigates the specific services that current spatiotemporal location big data can provide in public epidemic events, and discusses the current stage of spatiotemporal location big data services that cannot meet the requirements of public epidemic events. This paper also focuses on how to improve the spatiotemporal location big data services in the next stage to better serve the public epidemic prevention and control, and gives advice on spatio-temporal location service construction at ordinary times and data sharing mechanism in “wartime”. This paper aims to take scientific measures to improve the spatiotemporal big data services, strives to establish a technical support system for public epidemic prevention and control at ordinary times, and introduces a “wartime” spatiotemporal location big data sharing mechanism for epidemic prevention and control. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
16718860
Volume :
45
Issue :
4
Database :
Academic Search Index
Journal :
Geomatics & Information Science of Wuhan University
Publication Type :
Academic Journal
Accession number :
143368775
Full Text :
https://doi.org/10.13203/j.whugis20200145