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A navigability entropy model for street networks

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  • Padraig Corcoran
  • Rhyd Lewis

Abstract

In this paper, we propose novel local and global models of street network entropy that measure levels of navigability given only limited local directional information. These models are defined for individual locations and entire street networks. Both models are derived using a generalised model of entropy from the field of game theory, which considers a decision-maker attempting to perform a task in the presence of incomplete information. We argue that the proposed models are more interpretable and useful than existing models of street network entropy since they measure the uncertainty of navigation, which is the task street networks are intended to facilitate. We demonstrate this utility by performing an empirical analysis of the entropy properties of UK city street networks.

Suggested Citation

  • Padraig Corcoran & Rhyd Lewis, 2023. "A navigability entropy model for street networks," Environment and Planning B, , vol. 50(8), pages 2171-2186, October.
  • Handle: RePEc:sae:envirb:v:50:y:2023:i:8:p:2171-2186
    DOI: 10.1177/23998083231170191
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    References listed on IDEAS

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    1. Huang, Jie & Levinson, David M., 2015. "Circuity in urban transit networks," Journal of Transport Geography, Elsevier, vol. 48(C), pages 145-153.
    2. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    3. repec:hal:wpaper:hal-03168957 is not listed on IDEAS
    4. Boeing, Geoff, 2019. "The Morphology and Circuity of Walkable and Drivable Street Networks," SocArXiv edj2s, Center for Open Science.
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    Cited by:

    1. Henrikki Tenkanen & Rafael H. M. Pereira & Elsa Arcaute & Marta C. Gonzalez, 2023. "Advances in geospatial approaches to transport networks and sustainable mobility," Environment and Planning B, , vol. 50(8), pages 2009-2016, October.

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