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利用人工神经网络(ANN)来管理智慧城市,以实现可持续城市发展并保障公民权利。

Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

作者信息

Kuang Zhen, Su Junyu, Latifian Ahmad, Eshraghi Sanli, Ghafari Alireza

机构信息

Faculty of Data Science, City University of Macau, Macau, 999078, China.

School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan Hunan, 411201, China.

出版信息

Sci Rep. 2024 Dec 30;14(1):31592. doi: 10.1038/s41598-024-76964-z.

DOI:10.1038/s41598-024-76964-z
PMID:39738236
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11685571/
Abstract

The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resources efficiently, and enhance the overall well-being of residents. However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced. This article emphasizes the significance of regulating smart cities to foster a culture of citizenship and safeguard civic rights, security, and privacy. Effective regulatory frameworks are crucial in striking a balance between technological innovation and the protection of fundamental rights. The article examines various pivotal policies and regulations concerning data protection, cybersecurity, and citizen involvement in decision-making processes. Data protection regulations play a vital role in safeguarding individuals' personal information and ensuring its collection, processing, and usage comply with legal requirements. Similarly, cybersecurity regulations are indispensable in fortifying smart city systems against cyber threats. Regulations promoting citizen engagement and participation can cultivate a sense of ownership and responsibility among citizens, contributing to the creation of more inclusive and democratic urban environments. This study used an artificial neural network (ANN) to examine the effects of cyber security regulations, citizen participation, information sharing laws, and data protection on smart city development. Implementing these policies led to a 30% increase in citizen participation over 4 years, which continued even when regulations were temporarily suspended. However, unchanged or reduced regulations led to declines in information sharing. The neural network's predictions showed acceptable error compared to experimental results.

摘要

智慧城市的出现给城市管理和公民参与带来了范式转变。通过利用技术进步,城市现在能够收集和分析大量数据,以优化服务提供、有效分配资源并提高居民的整体福祉。然而,随着城市之间的联系日益紧密且对数据的依赖程度不断提高,与数据隐私和安全以及公民参与和代表性相关的问题浮出水面。本文强调规范智慧城市以培育公民文化并保障公民权利、安全和隐私的重要性。有效的监管框架对于在技术创新与基本权利保护之间取得平衡至关重要。本文审视了有关数据保护、网络安全以及公民参与决策过程的各种关键政策和法规。数据保护法规在保护个人信息并确保其收集、处理和使用符合法律要求方面发挥着至关重要的作用。同样,网络安全法规对于加强智慧城市系统抵御网络威胁不可或缺。促进公民参与的法规能够培养公民的主人翁意识和责任感,有助于创建更具包容性和民主性的城市环境。本研究使用人工神经网络(ANN)来考察网络安全法规、公民参与、信息共享法律和数据保护对智慧城市发展的影响。实施这些政策使公民参与度在4年内提高了30%,即使法规暂时中止,这一增长仍在持续。然而,法规不变或减少导致信息共享下降。与实验结果相比,神经网络的预测显示出可接受的误差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/c0c01814a708/41598_2024_76964_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/b2bec948b87e/41598_2024_76964_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/e5f95dd8ecae/41598_2024_76964_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/b4e35b5fd2b8/41598_2024_76964_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/c0c01814a708/41598_2024_76964_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/762327c1b296/41598_2024_76964_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/449e8cc35854/41598_2024_76964_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/7d37adc4dbb8/41598_2024_76964_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/8dbaf310c9ed/41598_2024_76964_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/b2bec948b87e/41598_2024_76964_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/e5f95dd8ecae/41598_2024_76964_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/b4e35b5fd2b8/41598_2024_76964_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdd0/11685571/c0c01814a708/41598_2024_76964_Fig8_HTML.jpg

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