当前位置: X-MOL 学术Public Administration and Development › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Personal privacy VS. public safety: A hybrid model of the use of smart city solutions in fighting the COVID-19 pandemic in Moscow
Public Administration and Development ( IF 1.854 ) Pub Date : 2022-10-21 , DOI: 10.1002/pad.1997
Sergey A Revyakin 1
Affiliation  

Technological advancements and big data have brought many improvements to smart city infrastructure. During the COVID-19 outbreak, smart city technologies were considered one of the most effective means of fighting the pandemic. The use of technology, however, implies collecting, processing personal data, and making the collected data publicly available which may violate privacy. While some countries were able to freely use these technologies to fight the pandemic, many others were restricted by their privacy protection legislation. The literature suggests looking for an approach that will allow the effective use of smart city technologies during the pandemic, while complying with strict privacy protection legislation. This article explores the approach applied in Moscow, Russia, and demonstrates the existence of a hybrid model that might be considered a suitable tradeoff between personal privacy and public health. This study contributes to the literature on the role of smart city technologies during pandemics and other emergencies.

中文翻译:

个人隐私 VS。公共安全:在莫斯科抗击 COVID-19 大流行时使用智慧城市解决方案的混合模型

技术进步和大数据为智慧城市基础设施带来了许多改进。在 COVID-19 爆发期间,智慧城市技术被认为是抗击这一流行病的最有效手段之一。然而,技术的使用意味着收集、处理个人数据,并公开收集的数据,这可能会侵犯隐私。虽然一些国家能够自由使用这些技术来抗击疫情,但许多其他国家却受到其隐私保护立法的限制。文献建议寻找一种方法,允许在大流行期间有效使用智慧城市技术,同时遵守严格的隐私保护立法。本文探讨了在俄罗斯莫斯科应用的方法,并证明存在一种混合模型,该模型可能被认为是个人隐私和公共健康之间的适当权衡。这项研究为有关智慧城市技术在大流行和其他紧急情况下的作用的文献做出了贡献。
更新日期:2022-10-21
down
wechat
bug