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The sensor desert quandary: What does it mean (not) to count in the smart city?

机译:传感器沙漠乐园:智能城市中的意思(不是)是什么意思?

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As a central component of the smart city, sensor infrastructures locate and measure a wide range of variables in order to characterise the urban environment. Perhaps the most visible expression of the smart city, sensor deployment is a key equity concern. As new sensor technologies and Big Data interact with social processes, they have the potential to reproduce well-documented spatial injustices. Contrary to promises of providing new knowledge and data for cities, they can also create new gaps in understanding about specific urban populations that fall into the interstices of data collection - sensor deserts. Building on emerging data justice debates, specifically considering distributional, recognition, and procedural forms of injustice, we conceptualise and analyse sensor deserts through two case studies, Newcastle's Urban Observatory (UK) and Chicago's Array of Things (USA). Open sensor locations are integrated with small-area, socio-economic data to evidence the demographic configuration and spatialities of sensor deserts across each city. We illustrate how the structural processes via which inequality is reinforced by smart agendas manifest as uneven social and spatial outcomes. In doing so, the paper opens up a new conceptual space in which to consider what it means (not) to count in the smart city, bringing a demographic perspective to critical debates about smart urbanisms.
机译:作为智能城市的核心组件,传感器基础架构定位并测量各种变量,以表征城市环境。也许是智能城市最明显的表达,传感器部署是一个关键的股权问题。随着新传感器技术和大数据与社会流程互动,他们有可能重现良好的空间不公正。与为城市提供新知识和数据的承诺相反,他们还可以创造新的差距,了解落入数据收集 - 传感器沙漠缺口的特定城市群体。建立在新兴数据正义辩论中,特别是考虑分配,识别和程序形式的不公正,我们通过两个案例研究,纽卡斯尔的城市观测所(英国)和芝加哥的一系列事物(美国)概念和分析传感器沙漠。开放式传感器位置与小区,社会经济数据集成在一起,以证明每个城市的传感器沙漠的人口统计配置和空间。我们说明了通过智能议程表现为不均匀的社会和空间结果的智能议程的不平等的结构过程如何。在这样做时,该文件开辟了一个新的概念空间,在这方面考虑到智能城市的意味着(而不是),为智能城市主义的批判性辩论带来了人口观点。

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