Anejionu, O. C.D., Sun, Y. , Thakuriah, P. (V.), McHugh, A. and Mason, P. (2019) Great Britain transport, housing, and employment access datasets for small-area urban area analytics. Data In Brief, 27, 104616. (doi: 10.1016/j.dib.2019.104616)
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Abstract
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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Thakuriah, Professor Piyushimita and Sun, Mr Yeran and Mason, Dr Phil and McHugh, Dr Andrew and Anejionu, Dr Obinna |
| Authors: | Anejionu, O. C.D., Sun, Y., Thakuriah, P. (V.), McHugh, A., and Mason, P. |
| College/School: | College of Social Sciences > School of Social and Political Sciences College of Social Sciences > School of Education > People, Place & Social Change |
| Journal Name: | Data In Brief |
| Publisher: | Elsevier |
| ISSN: | 2352-3409 |
| ISSN (Online): | 2352-3409 |
| Published Online: | 14 October 2019 |
| Copyright Holders: | Copyright © 2019 The Authors |
| First Published: | First published in Data in Brief 27:104616 |
| Publisher Policy: | Reproduced under a Creative Commons license |
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