IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v49y2022i9p2451-2466.html
   My bibliography  Save this article

Algorithmic definitions of street network centrality sub-shapes: The case of superblocks

Author

Listed:
  • Chen Feng
  • John Peponis

Abstract

The shape and distribution of the most integrated streets, collectively called the integration core, is critical to the characterization of local and global street network types in the space syntax literature. The description of the shape, position, and distribution of integration cores relative to the underlying street networks, however, has remained largely intuitive. We propose analytic and algorithmic definitions of integration core types. We then study empirical and experimental superblock designs with rectangular boundaries, as a particular kind of urban spatial syntax. The analysis leads to a clear understanding of the different ways in which the local street network, internal to the superblock, is structured and interfaced with the perimeter. When used as part of an automated sorting and query process applied to a universe of experimentally generated designs, our definitions and algorithms provide new insights about the interplay between the local generators of street network differentiation and the emergent syntactic structures of the superblock as a whole.

Suggested Citation

  • Chen Feng & John Peponis, 2022. "Algorithmic definitions of street network centrality sub-shapes: The case of superblocks," Environment and Planning B, , vol. 49(9), pages 2451-2466, November.
  • Handle: RePEc:sae:envirb:v:49:y:2022:i:9:p:2451-2466
    DOI: 10.1177/23998083221098739
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23998083221098739
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23998083221098739?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envirb:v:49:y:2022:i:9:p:2451-2466. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.