Great Britain transport, housing, and employment access datasets for small-area urban area analytics.
Great Britain transport, housing, and employment access datasets for small-area urban area analytics.
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英国交通、住房和就业准入数据集，用于小区域城市区域分析。
DOI：
10.1016/j.dib.2019.104616
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发表时间：
2019
期刊：
影响因子：
1.2
通讯作者：
Anejionu OCD
中科院分区：
文献类型：
--
作者：
Anejionu OCD
本文简要介绍了与城市分析研究相关的三种新形式的关键数据集，即：交通、住房和就业可达性，覆盖英国，由城市大数据中心（UBDC）开发。与本文相关的研究的全部细节包含在“空间城市数据系统：用于社会和经济城市分析的云支持大数据基础设施”b[1]中。交通数据集包含站/站和小区域级别（低层超级输出区（LSOA）和中层超级输出区（MSOA））的公共交通可用性（PTA）指标。就业数据集提供了在每个产出区域的特定距离内获得就业的人数的信息。住房数据集包含按产出区域水平（MSOA）汇总的季度房屋租金和销售价格。本文还介绍了在小面积水平上测量数据集的理论背景。此外，还包括用于生成某些数据集（例如PTA）的各种原始数据，以使感兴趣的读者能够复制它们。
This paper provides a brief description of three new forms of key datasets relevant to urban analytics studies namely: Transport, Housing and Employment Accessibility, covering Great Britain, developed by the Urban Big Data Centre (UBDC). Full details of the research related to this paper are contained in “Spatial urban data system: A cloud-enabled big data infrastructure for social and economic urban analytics” [1]. The transport Dataset contains public transport availability (PTA) indicators at both the stop/station and small-area levels (lower layer super output area (LSOA) and middle layer super output area (MSOA)). The employment dataset provides information on the number of people with access to employment within specific distances from each output area. The housing datasets contains quarterly house rent and sales prices aggregated at output area level (MSOA). The theoretical background for measuring the datasets at small area levels is also presented in this paper. Additionally, a variety of raw data used to produce some of the datasets (e.g. PTA) is also included to enable interested readers to reproduce them.