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A persistent homology model of street network connectivity

Corcoran, Padraig ORCID: https://orcid.org/0000-0001-9731-3385 and Jones, Christopher ORCID: https://orcid.org/0000-0001-6847-7575 2022. A persistent homology model of street network connectivity. Transactions in GIS 21 (1) , pp. 155-181. 10.1111/tgis.12844

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Abstract

We propose a novel model of street network connectivity which uses a method from the field of applied topology entitled persistent homology. The output from this model is a pair of density functions which model the relative strength and frequency of connected components and cycles in the network. In this context, strength is a function of street type, such as motorway or residential, with more significant street types providing greater connectivity. The pair of density functions output from the model are easily interpreted and provide novel insights into the connectivity properties of different street networks. We demonstrate the usefulness of this model through an analysis of UK and USA city street networks. This analysis identifies tangible similarities and differences in the connectivity of different cities plus ways in which the connectivity of individual cities' might be improved.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License
Publisher: Wiley
ISSN: 1361-1682
Date of First Compliant Deposit: 20 September 2021
Date of Acceptance: 13 August 2021
Last Modified: 09 Nov 2022 11:33
URI: https://orca.cardiff.ac.uk/id/eprint/143791

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