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Adedokun, O, Aje, I, Awodele, O and Egbelakin, T (2022) Are the public tertiary education building projects devoid of risks in the Nigerian construction context?. Journal of Financial Management of Property and Construction, 27(02), 259-78.

Adinyira, E, Agyekum, K, Manu, P, Mahamadu, A M and Olomolaiye, P (2022) Lessening procurement deviations using procurement post reviews: evidence from Ghana. Journal of Financial Management of Property and Construction, 27(02), 199-219.

Amadi, C, Carrillo, P and Tuuli, M (2020) PPP projects: improvements in stakeholder management. Engineering, Construction and Architectural Management, 27(02), 544–60.

Burford, N K and Smith, F W (1999) Developing a new military shelter system: a technical study in advanced materials and structures. Building Research & Information, 27(02), 64–83.

Deep, S, Bhoola, V, Verma, S and Ranasinghe, U (2022) Identifying the risk factors in real estate construction projects: an analytical study to propose a control structure for decision-making. Journal of Financial Management of Property and Construction, 27(02), 220-38.

Dehdasht, G, Ferwati, M S, Abidin, N Z and Oyedeji, M O (2022) Trends of construction industry in Malaysia and its emerging challenges. Journal of Financial Management of Property and Construction, 27(02), 161-78.

Elazouni, A (2009) Heuristic method for multi-project finance-based scheduling. Construction Management and Economics, 27(02), 199–211.

Horne, M, Hill, R and Giddings, R (1999) Visualization of photovoltaic clad buildings. Building Research & Information, 27(02), 96–108.

Huo, X, Yu, A T W, Zezhou, W and Jayantha, W M (2020) Site planning and design of green residential building projects: case studies in China. Engineering, Construction and Architectural Management, 27(02), 525–43.

Hyung, W G, Kim, S and Jo, J K (2020) Improved similarity measure in case-based reasoning: A case study of construction cost estimation. Engineering, Construction and Architectural Management, 27(02), 561-78.

Johari, S and Jha, K N (2020) Challenges of attracting construction workers to skill development and training programmes. Engineering, Construction and Architectural Management, 27(02), 321–40.

Lam, K C and Chow, W S (1999) The significance of financial risks in BOT procurement. Building Research & Information, 27(02), 84–95.

Li, X K, Wang, X M and Lei, L (2020) The application of an ANP-fuzzy comprehensive evaluation model to assess lean construction management performance. Engineering, Construction and Architectural Management, 27(02), 356-84.

Mallisetti, V, Dolla, T and Laishram, B (2022) Unpacking the framework of unsolicited proposal for public private partnership projects – the Indian case. Journal of Financial Management of Property and Construction, 27(02), 179-98.

Mellado, F, Lou, E C W and Becerra, C L C (2020) Synthesising performance in the construction industry: An analysis of performance indicators to promote project improvement. Engineering, Construction and Architectural Management, 27(02), 579-608.

Ng, S T, Fan, R Y C, Wong, J M W, Chan, A P C, Chiang, Y H, Lam, P T I and Kumaraswamy, M (2009) Coping with structural change in construction: experiences gained from advanced economies. Construction Management and Economics, 27(02), 165–80.

Nwaogu, J M, Chan, A P, Hon, C K and Darko, A (2020) Review of global mental health research in the construction industry. Engineering, Construction and Architectural Management, 27(02), 385–410.

Ofori, G and Toor, S-U-R (2009) Research on cross-cultural leadership and management in construction: a review and directions for future research. Construction Management and Economics, 27(02), 119–33.

Oyegoke, A S, Powell, R, Ajayi, S, Godawatte, G A G R and Akenroye, T (2022) Factors affecting the selection of effective cost control techniques in the UK construction industry. Journal of Financial Management of Property and Construction, 27(02), 141-60.

Proverbs, D G, Holt, G D and Olomolaiye, P O (1999) Factors in formwork selection: a comparative investigation. Building Research & Information, 27(02), 109–19.

Robinson, H S and Scott, J (2009) Service delivery and performance monitoring in PFI/PPP projects. Construction Management and Economics, 27(02), 181–97.

Rohman, M A (2022) Assessment of the government’s role performance in public-private partnership (PPP) toll road projects in Indonesia. Journal of Financial Management of Property and Construction, 27(02), 239-58.

Rosenfeld, Y (2009) Cost of quality versus cost of non-quality in construction: the crucial balance. Construction Management and Economics, 27(02), 107–17.

Salvado, F, Almeida, N and Vale e Azevedo, A (2020) Aligning financial and functional equivalent depreciations rates of building assets. Engineering, Construction and Architectural Management, 27(02), 441-57.

van Mossel, H-J and Straub, A (2009) The need for customizing maintenance services in social housing. Construction Management and Economics, 27(02), 135–51.

Wang, X, Shi, L, Wang, B and Kan, M (2020) A method to evaluate credit risk for banks under PPP project finance. Engineering, Construction and Architectural Management, 27(02), 483-501.

Warsame, A (2009) Organizational modes in the residential building sector in Sweden. Construction Management and Economics, 27(02), 153–63.

Wei, H, Minggang, H and Qun, H (1999) Quasi-static testing of composite masonry construction. Building Research & Information, 27(02), 120–3.

Yevu, S K and Yu, A T W (2020) The ecosystem of drivers for electronic procurement adoption for construction project procurement. Engineering, Construction and Architectural Management, 27(02), 411–40.

Zarghami, S A and Gunawan, I (2020) A domain-specific measure of centrality for water distribution networks. Engineering, Construction and Architectural Management, 27(02), 341–55.

  • Type: Journal Article
  • Keywords: Betweenness centrality; Centrality measures; Closeness centrality; Demand centrality; Eigenvector centrality; Percolation centrality; Water distribution networks;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-03-2019-0176
  • Abstract:

    In recent years, centrality measures have been extensively used to analyze real-world complex networks. Water distribution networks (WDNs), as a good example of complex networks, exhibit properties not shared by other networks. This raises concerns about the effectiveness of applying the classical centrality measures to these networks. The purpose of this paper is to generate a new centrality measure in order to stick more closely to WDNs features. This work refines the traditional betweenness centrality by adding a hydraulic-based weighting factor in order to improve its fit with the WDNs features. Rather than an exclusive focus on the network topology, as does the betweenness centrality, the new centrality measure reflects the importance of each node by taking into account its topological location, its demand value and the demand distribution of other nodes in the network. Comparative analysis proves that the new centrality measure yields information that cannot be captured by closeness, betweenness and eigenvector centrality and is more accurate at ranking the importance of the nodes in WDNs. The following practical implications emerge from the centrality analysis proposed in this work. First, the maintenance strategy driven by the new centrality analysis enables practitioners to prioritize the components in the network based on the priority ranking attributed to each node. This allows for least cost decisions to be made for implementing the preventive maintenance strategies. Second, the output of the centrality analysis proposed herein assists water utilities in identifying the effects of components failure on the network performance, which in turn can support the design and deployment of an effective risk management strategy. The new centrality measure, proposed herein, is distinct from the conventional centrality measures. In contrast to the classical centrality metrics in which the importance of components is assessed based on a pure topological viewpoint, the proposed centrality measure integrates both topological and hydraulic attributes of WDNs and therefore is more accurate at ranking the importance of the nodes.

Zhou, S, Ng, S T, Lee, S H, Xu, F J and Yang, Y (2020) A domain knowledge incorporated text mining approach for capturing user needs on BIM applications. Engineering, Construction and Architectural Management, 27(02), 458-82.

Zohrehvandi, S, Vanhoucke, M, Soltani, R and Javadi, M (2020) A reconfigurable model for implementation in the closing phase of a wind turbines project construction. Engineering, Construction and Architectural Management, 27(02), 502–24.