Great Britain transport, housing, and employment access datasets for small-area urban area analytics

Obinna C D Anejionu; Yeran Sun; Piyushimita Vonu Thakuriah; Andrew McHugh; Phillip Mason

doi:10.1016/j.dib.2019.104616

Great Britain transport, housing, and employment access datasets for small-area urban area analytics

Data Brief. 2019 Oct 14:27:104616. doi: 10.1016/j.dib.2019.104616. eCollection 2019 Dec.

Authors

Obinna C D Anejionu^{1

2}, Yeran Sun¹, Piyushimita Vonu Thakuriah^{1

3}, Andrew McHugh¹, Phillip Mason¹

Affiliations

¹ Urban Big Data Centre, 7 Lilybank Gardens, University of Glasgow, Glasgow, United Kingdom.
² Department of Geoinformatics and Surveying, University of Nigeria, Nsukka, Nigeria.
³ Rutgers University, Bloustein School of Planning and Public Policy, United States.

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.

Keywords: Employment and labour market; Housing datasets; Public transport accessibility; Small area assessment; Urban area analytics.