The lightweight smart city and biases in repurposed big data
The lightweight smart city and biases in repurposed big data
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发表时间：
2016-11
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通讯作者：
C. Voigt;Jonathan Bright
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作者：
C. Voigt;Jonathan Bright
本文探讨了“大数据”对智慧城市范式的影响。除了用传感器网格来跟踪交通流量或监控服务提供之外，世界各地的城市政府也开始尝试重新利用第三方收集的数据存储：使用移动的手机数据来跟踪移动或社交媒体来识别失败的服务。使用这种类型的数据具有相当大的潜力，既可以增强现有的智慧城市愿景，又可以将其扩展到无法负担传感器网格投资的中小城市，从而创建我们所说的“轻量级”版本的智慧城市。然而，这也意味着以前智能城市不太容易出现的一些问题。在定义了轻量级智慧城市之后，本文回顾了这些挑战，主要是在解释偏见方面，然后提供了潜在的补救措施和解决方案。
This paper addresses the implications of 'big data' on the smart city paradigm. In addition to grids of sensors to track traffic flows or monitor service delivery, urban governments around the world are starting to experiment with repurposing stores of data collected by third parties: using mobile phone data to track movement or social media to identify failing services. The use of this type of data has considerable potential to both augment the existing smart city vision and to spread it out to small and medium sized cities that are unable to afford investment in sensor grids, creating what we call a “lightweight” version of the smart city. However, it also implies a number of problems which previously smart cities were less prone to. After defining the lightweight smart city this paper reviews these challenges, mainly in the area of interpretation biases, before offering pointers to potential remedies and solutions.