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Ahmad, S, Soetanto, R and Goodier, C (2019) Lean approach in precast concrete component production. Built Environment Project and Asset Management, 9(03), 457–70.

Hamzeh, F, Rached, F, Hraoui, Y, Karam, A J, Malaeb, Z, El Asmar, M and Abbas, Y (2019) Integrated project delivery as an enabler for collaboration: a Middle East perspective. Built Environment Project and Asset Management, 9(03), 334–47.

Karunaratne, T L W and De Silva, N (2019) Demand-side energy retrofit potential in existing office buildings. Built Environment Project and Asset Management, 9(03), 426–39.

Ke, Y, Ling, F Y, Ning, Y and Zhang, Z (2019) Managing relationships in large public projects: comparative study of China and Singapore. Built Environment Project and Asset Management, 9(03), 348–63.

Kissi, E, Agyekum, K, Baiden, B K, Tannor, R A, Asamoah, G E and Andam, E T (2019) Impact of project monitoring and evaluation practices on construction project success criteria in Ghana. Built Environment Project and Asset Management, 9(03), 364–82.

Oyewole, E O and Dada, J O (2019) Training gaps in the adoption of building information modelling by Nigerian construction professionals. Built Environment Project and Asset Management, 9(03), 399–411.

Sackey, E, Tuuli, M and Dainty, A (2019) Expansive learning in contemporary construction organisations. Built Environment Project and Asset Management, 9(03), 383–98.

Zahed, S E, Shahooei, S, Farooghi, F, Shahandashti, M and Ardekani, S (2019) Life-cycle cost analysis of a short-haul underground freight transportation system for the DFW Airport. Built Environment Project and Asset Management, 9(03), 440–56.

Zarghami, S A, Gunawan, I and Schultmann, F (2019) Entropy of centrality values for topological vulnerability analysis of water distribution networks. Built Environment Project and Asset Management, 9(03), 412–25.

  • Type: Journal Article
  • Keywords: Information entropy; Betweenness centrality; Closeness centrality; Eigenvector centrality; Vulnerability analysis; Water distribution networks;
  • ISBN/ISSN: 2044-124X
  • URL: https://doi.org/10.1108/BEPAM-02-2019-0014
  • Abstract:
    The increased complexity of water distribution networks (WDNs) emphasizes the importance of studying the relationship between topology and vulnerability of these networks. However, the few existing studies on this subject measure the vulnerability at a specific location and ignore to quantify the vulnerability as a whole. The purpose of this paper is to fill this gap by extending the topological vulnerability analysis further to the global level. Design/methodology/approach This paper introduces a two-step procedure. In the first step, this work evaluates the degree of influence of a node by employing graph theory quantities. In the second step, information entropy is used as a tool to quantify the global vulnerability of WDNs. Findings The vulnerability analysis results showed that a network with uniformly distributed centrality values exhibits a lower drop in performance in the case of partial failure of its components and therefore is less vulnerable. In other words, the failure of a highly central node leads to a significant loss of performance in the network. Practical implications The vulnerability analysis method, developed in this work, provides a decision support tool to implement a cost-effective maintenance strategy, which relies on identifying and prioritizing the vulnerabilities, thereby reducing expenditures on maintenance activities. Originality/value By situating the research in the entropy theory context, for the first time, this paper demonstrates how heterogeneity and homogeneity of centrality values measured by the information entropy can be interpreted in terms of the network vulnerability.