A computational model of pedestrian road safety: the long way round is the safe way home

Hannah, Charlotte, Spasic, Irena ORCID: https://orcid.org/0000-0002-8132-3885 and Corcoran, Padraig ORCID: https://orcid.org/0000-0001-9731-3385 2018. A computational model of pedestrian road safety: the long way round is the safe way home. Accident Analysis & Prevention 121 , pp. 347-357. 10.1016/j.aap.2018.06.004

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Abstract

We propose a novel linear model of pedestrian safety in urban areas with respect to road traffic crashes that considers a single independent variable of pedestrian path safety. This variable is estimated for a given urban area by sampling pedestrian paths from the population of such paths in that area and in turn estimating the mean safety of these paths. We argue that this independent variable directly models the factors contributing to pedestrian safety. This contrasts previous approaches, which, by considering multiple independent variables describing the environment, traffic and pedestrians themselves, indirectly model these factors. Using data about 15 UK cities, we demonstrate that the proposed model accurately estimates numbers of pedestrian casualties.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Data Innovation Research Institute (DIURI) Mathematics
Publisher:	Elsevier
ISSN:	0001-4575
Date of First Compliant Deposit:	2 July 2018
Date of Acceptance:	3 June 2018
Last Modified:	06 Nov 2023 20:32
URI:	https://orca.cardiff.ac.uk/id/eprint/112872

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