“治理城市公地”:DLT、机构和公民视角

IF 6.5 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231182391
Le Anh Nguyen Long, S. V. D. Graaf, Athanasios Votsis
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引用次数: 0

摘要

本文借鉴城市规划、媒体和治理研究中产生的见解,从而利用奥斯特罗姆的制度和多中心思想,探讨了如何在智能城市中治理公共空间。它反思了分布式账本技术(DLT)是否可以成为围绕利益相关者、自组织和基于权利的框架展开的公共话语的关键概念。通过分散账本并实现各种接口的互操作性,DLT使记录更容易访问,交换更透明,在提高效率的同时降低成本,并允许自动化,从而促进了离线和在线的通用交互。我们认为,使用DLT来保持关键城市空间的时空完整性是一个常见的价值问题,需要加以阐明或重新谈判,以便为DLT的完整性保持潜力提供任何有用的指导。在这样做的过程中,我们提请人们注意基于DLT的城市公地和城市治理,并指出内在的不兼容性可能会导致城市机构发生根本而不那么顺利的变化,同时提供了一种思维方式,可以使智慧城市更接近于以价值观为中心的过程,摆脱对技术和效率的关注。
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“Governing the urban commons”: DLT, institutions, and citizens in perspective
Borrowing from insights produced in urban planning, media and governance studies thereby leveraging the Ostrom-nian ideas of institutions and polycentricity, this paper examines how to govern commons in the smart city. It offers a reflection upon whether Distributed Ledger Technologies (DLTs) could be a key notion for the commons discourse which centers around stakeholders, self-organization, and a rights-based framework. By decentralizing ledgers and enabling the interoperability of the various interfaces, DLTs make records more accessible, exchanges more transparent, and reduce costs while increasing efficiency, and permit automation, therefore commoning interactions both offline and online are facilitated. We argue that the use of DLTs to preserve the spatiotemporal integrity of key urban spaces is a common value question that needs to be elucidated or renegotiated in order to provide any useful guidance to DLTs integrity-preserving potential. In doing so, we draw attention to DLT-based urban commons and urban governance, and point to inherent incompatibilities that may lead to radical and not-so-smooth changes in urban institutions, while providing a way of thinking which can move the smart city closer towards a values-centered process and away from a preoccupation with technology and efficiency.
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来源期刊
Big Data & Society
Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.90
自引率
10.60%
发文量
59
审稿时长
11 weeks
期刊介绍: Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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