Manley, E orcid.org/0000-0002-8904-0513, Filomena, G and Mavros, P (2021) A spatial model of cognitive distance in cities. International Journal of Geographical Information Science. ISSN 1365-8816
Abstract
Spatial cognition is fundamental to the behaviour and activity of humans in urban space. Humans perceive their environments with systematic biases and errors, and act upon these perceptions, which in turn form urban patterns of activity. These perceptions are influenced by a multitude of factors, many of them relating to the static urban form. Yet much of geographic analysis ignores the influence of urban form, instead referring most commonly to the Euclidean arrangement of space. In this paper, we propose a novel spatial modelling framework for estimating cognitive distance in urban space. This framework is constructed from a wealth of research describing the effect of environmental factors on distance estimation, and produces a quantitative estimate of the effect based on standard GIS data. Unlike other cost measures, the cognitive distance estimate integrates systematically observed distortions and biases in spatial cognition. As a proof-of-concept, the framework is implemented for 26 cities worldwide using open data, producing a novel comparative measure of ‘cognitive accessibility’. The paper concludes with a discussion of the potential of this approach in analysing and modelling urban systems, and outlines areas for further research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in International Journal of Geographical Information Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Spatial cognition; GIScience; cognitive geography; cognitive distance; accessibility |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Funding Information: | Funder Grant number Alan Turing Institute No ref given |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Feb 2021 12:55 |
Last Modified: | 19 Feb 2022 01:38 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/13658816.2021.1887488 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171368 |