IDEAS home Printed from https://ideas.repec.org/a/ids/ijcist/v12y2016i1-2p120-142.html
   My bibliography  Save this article

Index of network resilience for urban water distribution systems

Author

Listed:
  • Arka Pandit
  • John C. Crittenden

Abstract

A unique demographic shift towards urban centres has necessitated incorporation of sustainability principles in the tenets of urban infrastructure planning and design. Adopting resilience as the indicator of sustainability, this paper presents a novel index of network resilience (INR) for urban water distribution systems. The index developed in this paper incorporates six network attributes to develop a composite INR based on the topology of the water distribution systems. A multi-criteria analysis (MCA) using the weighted summation approach is employed to evaluate the alternative configurations which would satisfy the demand and other hydraulic requirements. Analytic hierarchy process (AHP) was assigned to assign weights to the attributes and was optimised for two scenarios: resilience and efficiency. Using the original configuration of Anytown network as the base case scenario, four alternative designs were developed. The results indicate that resilience of the system, in terms of increased robustness and redundancy, can be increased through a better topology without increasing material and energy investment. In addition, the results also indicate that there might be some potential trade-off between resilience and efficiency of flow for the network.

Suggested Citation

  • Arka Pandit & John C. Crittenden, 2016. "Index of network resilience for urban water distribution systems," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 12(1/2), pages 120-142.
    • Handle: RePEc:ids:ijcist:v:12:y:2016:i:1/2:p:120-142
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=75865
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Magoua, Joseph Jonathan & Li, Nan, 2023. "The human factor in the disaster resilience modeling of critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

    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:ids:ijcist:v:12:y:2016:i:1/2:p:120-142. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=58 .

    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.