新冠肺炎背景下中国城市交通管制措施特征

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-05-20 DOI:10.20965/jaciii.2023.p0352

Zezhong Hao, Xiuwu Zhang

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引用次数: 0

摘要

2019冠状病毒病(COVID-19)在全球迅速蔓延已成为现实。中国采取了城市交通管制措施来防控疫情，但这阻碍了城市之间的人员流动。本文采用单向因果测度方法，探讨了城市交通管制措施对中国城际人口流动的影响机制。结果表明，城市交通管制措施对城际人口流动的影响随时间变化。基于此，本研究为政府如何合理采取交通管制措施提出了科学的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Characteristics of Urban Traffic Control Measures in China in the Background of COVID-19

The rapid global spread of the coronavirus disease 2019 (COVID-19) is now a reality. China has taken urban traffic control measures to prevent and control the epidemic, but this has prevented the flow of people between cities. This study investigates the mechanism of the impact of urban traffic control measures on the intercity population flow in China using the one-way causal measurement method. The results show that the impact of urban traffic control measures on the intercity flow of the population changes with time. Based on this, this study makes scientific suggestions for the government on how to reasonably undertake traffic control measures.

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来源期刊

Journal of Advanced Computational Intelligence and Intelligent Informatics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

1.50

自引率

14.30%

发文量

期刊介绍： JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.