IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v46y2019i4p668-689.html
   My bibliography  Save this article

A centrality measure for urban networks based on the eigenvector centrality concept

Author

Listed:
  • Taras Agryzkov
  • Leandro Tortosa
  • José F Vicent
  • Richard Wilson

Abstract

A massive amount of information as geo-referenced data is now emerging from the digitization of contemporary cities. Urban streets networks are characterized by a fairly uniform degree distribution and a low degree range. Therefore, the analysis of the graph constructed from the topology of the urban layout does not provide significant information when studying topology-based centrality. On the other hand, we have collected geo-located data about the use of various buildings and facilities within the city. This does provide a rich source of information about the importance of various areas. Despite this, we still need to consider the influence of topology, as this determines the interaction between different areas. In this paper, we propose a new model of centrality for urban networks based on the concept of Eigenvector Centrality for urban street networks which incorporates information from both topology and data residing on the nodes. So, the centrality proposed is able to measure the influence of two factors, the topology of the network and the geo-referenced data extracted from the network and associated to the nodes. We detail how to compute the centrality measure and provide the rational behind it. Some numerical examples with small networks are performed to analyse the characteristics of the model. Finally, a detailed example of a real urban street network is discussed, taking a real set of data obtained from a fieldwork, regarding the commercial activity developed in the city.

Suggested Citation

  • Taras Agryzkov & Leandro Tortosa & José F Vicent & Richard Wilson, 2019. "A centrality measure for urban networks based on the eigenvector centrality concept," Environment and Planning B, , vol. 46(4), pages 668-689, May.
    • Handle: RePEc:sae:envirb:v:46:y:2019:i:4:p:668-689
    DOI: 10.1177/2399808317724444
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2399808317724444
    Download Restriction: no
    File URL: https://libkey.io/10.1177/2399808317724444?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:46:y:2019:i:4:p:668-689. 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.