The Role of Digital Trace Data in Supporting the Collection of Population Statistics - the Case for Smart Metered Electricity Consumption Data
The Role of Digital Trace Data in Supporting the Collection of Population Statistics - the Case for Smart Metered Electricity Consumption Data
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DOI：
10.1002/psp.1972
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发表时间：
2016-11-01
影响因子：
2.4
通讯作者：
James, Patrick
中科院分区：
文献类型：
--
作者：
Newing, Andy;Anderson, Ben;James, Patrick
关于英国传统的十年期人口普查未来的争论导致了对补充数据来源的探索，这可以支持提供及时和增强的小地区人口和住房统计数据。本文回顾了一些商业数据集的潜在价值，然后集中在高时间分辨率的家庭用电负荷数据通过智能计量收集。我们建议，这些数据可以提供家庭特征指标，然后可以在普查产出地区一级汇总，以生成更频繁的官方小地区统计数据。这些指标可以直接补充现有的普查指标，甚至能够制定新的小地区指标。本文通过对智能电表数据集的初步分析探讨了这一潜力，当与迄今为止有限的文献一起设置时，结果表明，汇总的家庭负荷概况可能会揭示人口普查用户和国家统计组织感兴趣的关键家庭和户主特征。该文件的结论是，完全覆盖，准实时报告，特别是家庭层面的详细用电数据可以支持人口统计数据和基于区域的社会指标的交付，我们概述了一个研究计划，以解决这些机会。(c)2015作者《人口、空间和地点》，约翰·威利父子出版社出版。
Debates over the future of the UK's traditional decadal census have led to the exploration of supplementary data sources, which could support the provision of timely and enhanced statistics on population and housing in small areas. This paper reviews the potential value of a number of commercial datasets before focusing on high temporal resolution household electricity load data collected via smart metering. We suggest that such data could provide indicators of household characteristics that could then be aggregated at the census output area level to generate more frequent official small area statistics. These could directly supplement existing census indicators or even enable development of novel small area indicators. The paper explores this potential through preliminary analysis of a smart meter-like' dataset, and when set alongside the limited literature to date, the results suggest that aggregated household load profiles may reveal key household and householder characteristics of interest to census users and national statistical organisations. The paper concludes that complete coverage, quasi-real time reporting, and household level detail of electricity consumption data in particular could support the delivery of population statistics and area-based social indicators, and we outline a research programme to address these opportunities. (c) 2015 The Authors. Population, Space and Place published by John Wiley & Sons Ltd.