Big data, smart cities and city planning.
Big data, smart cities and city planning.
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DOI：
10.1177/2043820613513390
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发表时间：
2013-11
影响因子：
27.5
通讯作者：
Batty M
中科院分区：
文献类型：
--
作者：
Batty M
我对大数据的定义是基于其规模，但特别注意的是，我所指的数据是城市数据，也就是说，城市的数据总是被贴上空间和时间的标签。我认为，这类数据主要来自传感器，这代表了我们所拥有的关于城市中何时何地发生的事情的数据类型的巨大变化。我描述了大数据的增长如何将重点从长期战略规划转移到关于城市如何运作和管理的短期思考，尽管有可能在更长的时间内，这种大数据将成为每个时间范围的信息来源。通过结论，我说明了对大伦敦公共交通系统6个月个人旅行的智能旅行卡数据的新理论和分析的必要性。
I define big data with respect to its size but pay particular attention to the fact that the data I am referring to is urban data, that is, data for cities that are invariably tagged to space and time. I argue that this sort of data are largely being streamed from sensors, and this represents a sea change in the kinds of data that we have about what happens where and when in cities. I describe how the growth of big data is shifting the emphasis from longer term strategic planning to short-term thinking about how cities function and can be managed, although with the possibility that over much longer periods of time, this kind of big data will become a source for information about every time horizon. By way of conclusion, I illustrate the need for new theory and analysis with respect to 6 months of smart travel card data of individual trips on Greater London’s public transport systems.