Public transport accessibility indicators to urban and regional services in Great Britain

Verduzco-Torres, J. R. and Mcarthur, D. P. (2024) Public transport accessibility indicators to urban and regional services in Great Britain. Scientific Data, 11, 53. (doi: 10.1038/s41597-023-02890-w) (PMID:38195793) (PMCID:PMC10776568)

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Abstract

Public transport accessibility to urban and regional services has been found to relate to various social and economic processes, such as unemployment, transport mode choice, property prices, and public health. A frequent type of measures representing accessibility are location-based. While these offer advantages, like flexibility and ease of interpretation, their estimation usually requires specialized skills and substantial computational resources. To lower these barriers, we have prepared a suite of accessibility indicators for key services across Great Britain at a spatially disaggregated level. The dataset includes ready-to-use public transport accessibility indicators for employment, general practitioners (GP, or family physician), hospitals, grocery stores, supermarkets, primary and secondary schools, and urban centres. It also includes the raw travel time matrix from each origin to every potential destination, a primary input for such indicator estimation. Altogether, this resource offers various levels of application, from direct input into a range of research topics to the foundation for creating comprehensive custom indicators.

Item Type:Articles
Additional Information:The work was made possible by ESRC’s on-going support for the Urban Big Data Centre [ES/L011921/1 and ES/S007105/1].
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Verduzco-Torres, Dr Jose Rafael and Mcarthur, Dr David
Authors: Verduzco-Torres, J. R., and Mcarthur, D. P.
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:Scientific Data
Publisher:Nature Research
ISSN:2052-4463
ISSN (Online):2052-4463
Copyright Holders:Copyright © 2024 The Author(s)
First Published:First published in Scientific Data 11:53
Publisher Policy:Reproduced under a Creative Commons license

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190698Urban Big Data Research CentreNick BaileyEconomic and Social Research Council (ESRC)ES/L011921/1S&PS - Urban Big Data
304042UBDC Centre TransitionNick BaileyEconomic and Social Research Council (ESRC)ES/S007105/1S&PS - Administration