Cited by 244Spatial Cognition and NavigationUrban Design and Spatial AnalysisUrban Green Space and Health

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Entropy of city street networks linked to future spatial navigation ability

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Published version of a preprint

Abstract

The cultural and geographical properties of the environment have been shown to deeply influence cognition and mental health 1-6. Living near green spaces has been found to be strongly beneficial 7-11, and urban residence has been associated with a higher risk of some psychiatric disorders 12-14-although some studies suggest that dense socioeconomic networks found in larger cities provide a buffer against depression 15. However, how the environment in which one grew up affects later cognitive abilities remains poorly understood. Here we used a cognitive task embedded in a video game 16 to measure non-verbal spatial navigation ability in 397,162 people from 38 countries across the world. Overall, we found that people who grew up outside cities were better at navigation. More specifically, people were better at navigating in environments that were topologically similar to where they grew up. Growing up in cities with a low street network entropy (for example, Chicago) led to better results at video game levels with a regular layout, whereas growing up outside cities or in cities with a higher street network entropy (for example, Prague) led to better results at more entropic video game levels. This provides evidence of the effect of the environment on human cognition on a global scale, and highlights the importance of urban design in human cognition and brain function.

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Crossref · 10.1038/s41586-022-04486-7

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Show all 63 references

Research works printed but not linked: 3

  1. Lynch, K. The Image of the City (The MIT Press, 1960).
  2. Boeing, G. Urban spatial order: street network orientation, configuration, and entropy. Appl. Netw. Sci. 67, 1–20 (2019).
  3. McNamee, D., Wolpert, D. & Lengyel, M. Efficient state-space modularization for planning: theory, behavioral and neural signatures. In Advances in Neural Information Processing Systems 29 (NIPS 2016) (eds Lee. D. et al.) 4511–4519 (Curran Associates, 2016).

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Metadata

Authors
Coutrot, A., Manley, E., Goodroe, S., Gahnstrom, C., Filomena, G., Yesiltepe, D., Dalton, R. C., Wiener, J. M., Hölscher, C., Hornberger, M., & Spiers, H. J.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • University of Leeds (GB)
  • University College London (GB)
  • University of Münster (DE)
  • Northumbria University (GB)
  • Bournemouth University (GB)
  • ETH Zurich (CH)
  • University of East Anglia (GB)
Corresponding author
  • Coutrot, A.
  • Spiers, H. J.
Venue
Nature
Published
2022-03-30
Volume
604
Issue
7904
Pages
104-110
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W4220700859
Cited by
243
References
63
Citations by year
2026: 32 · 2025: 81 · 2024: 57 · 2023: 50 · 2022: 22
FWCI
14.31
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • UEA Digital Repository (University of East Anglia) (acceptedVersion)
  • HAL (submittedVersion, other-oa)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
  • Social Sciences › Urban Studies › Urban Design and Spatial Analysis
  • Social Sciences › Urban Studies › Urban Green Space and Health
Keywords
urban road networks, spatial navigation, cognitive ability, urban design, topological similarity
MeSH terms
Built Environment, Cities, Cognition, Humans, Video Games, Entropy, Spatial Navigation

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