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Ahadzie, D K, Proverbs, D G, Olomolaiye, P O and Ankrah, N (2009) Towards developing competency-based measures for project managers in mass house building projects in developing countries. Construction Management and Economics, 27(01), 89–102.
Al-Kharashi, A and Skitmore, M (2009) Causes of delays in Saudi Arabian public sector construction projects. Construction Management and Economics, 27(01), 3–23.
Bageis, A S and Fortune, C (2009) Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. Construction Management and Economics, 27(01), 53–71.
Burford, N K and Smith, F W (1999) Developing a new military shelter system: a case study in innovation. Building Research & Information, 27(01), 35–55.
Daget, Y T and Zhang, H (2019) Decision-making model for the evaluation of industrialized housing systems in Ethiopia. Engineering, Construction and Architectural Management, 27(01), 296–320.
Du, J, Jing, H, Castro-Lacouture, D and Sugumaran, V (2019) Multi-agent simulation for managing design changes in prefabricated construction projects. Engineering, Construction and Architectural Management, 27(01), 270–95.
Durdyev, S, Hosseini, M R, Martek, I, Ismail, S and Arashpour, M (2019) Barriers to the use of integrated project delivery (IPD): a quantified model for Malaysia. Engineering, Construction and Architectural Management, 27(01), 186–204.
Han, J, Rapoport, A and Fong, P S (2019) Incentive structures in multi-partner project teams. Engineering, Construction and Architectural Management, 27(01), 49–65.
Hossain, L (2009) Communications and coordination in construction projects. Construction Management and Economics, 27(01), 25–39.
Hwang, B, Zhao, X and Lim, J (2019) Job satisfaction of project managers in green construction projects. Engineering, Construction and Architectural Management, 27(01), 205–26.
Lam, P T I and Wong, F W H (2009) Improving building project performance: how buildability benchmarking can help. Construction Management and Economics, 27(01), 41–52.
- Type: Journal Article
- Keywords: construction industry; advanced economies; recession; recovery; strategy
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190802570498
- Abstract:
Although the buildability of building designs has not been commonly taken as an important parameter in design quality assessment, previous studies have linked buildability to time, cost, quality and safety performance in many ways. Based on this observation, the question arises of how buildability can be benchmarked and which aspects of project performance can be improved. After identifying available benchmarking tools, the relative correlations are investigated between different buildability attributes and construction performance in terms of time, cost, quality and safety. Based on a questionnaire survey, it was found that construction time performance has strong positive correlations with buildability in the design of external wall elements, simplicity of assembly and installation considerations, while other design attributes affect cost, quality and safety performance to varying degrees. With this understanding, it is postulated that best practice can be promoted among design teams for enhancing buildability, which would in turn raise project performance. Three experienced practitioners have been interviewed for verifying the practicality of buildability benchmarking. As an incentive to improve buildability, benchmarking would help construction stakeholders reap their desired benefits by focusing on the related design attributes in the pre-construction stage, particularly for functionally oriented buildings.
Leaman, A and Bordass, B (1999) Productivity in buildings: the 'killer' variables. Building Research & Information, 27(01), 4–19.
Liao, X, Lee, C Y and Chong, H (2019) Contractual practices between the consultant and employer in Chinese BIM-enabled construction projects. Engineering, Construction and Architectural Management, 27(01), 227–44.
Liu, S, Jin, H, Liu, C, Xie, B and Mills, A (2019) Government compensation and costs of non-competition guarantee for PPP rental retirement villages. Engineering, Construction and Architectural Management, 27(01), 128–49.
Mahamadu, A, Manu, P, Mahdjoubi, L, Booth, C, Aigbavboa, C and Abanda, F (2019) The importance of BIM capability assessment. Engineering, Construction and Architectural Management, 27(01), 24–48.
Moohialdin, A S M, Lamari, F, Miska, M and Trigunarsyah, B (2019) Construction worker productivity in hot and humid weather conditions. Engineering, Construction and Architectural Management, 27(01), 83–108.
Ozyurt, B, Dikmen, I and Birgonul, M T (2019) Clustering of host countries to facilitate learning between similar international construction markets. Engineering, Construction and Architectural Management, 27(01), 66–82.
Papamichael, K (1999) Application of information technologies in building design decisions. Building Research & Information, 27(01), 20–34.
Sang, L, Xia, D, Ni, G, Cui, Q, Wang, J and Wang, W (2019) Influence mechanism of job satisfaction and positive affect on knowledge sharing among project members. Engineering, Construction and Architectural Management, 27(01), 245–69.
Sarhan, J G, Xia, B, Fawzia, S, Karim, A, Olanipekun, A O and Coffey, V (2019) Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique. Engineering, Construction and Architectural Management, 27(01), 1–23.
Sezer, A A and Bröchner, J (2019) Site managers’ ICT tools for monitoring resources in refurbishment. Engineering, Construction and Architectural Management, 27(01), 109–27.
Wang, D, Fu, H and Fang, S (2019) The efficacy of trust for the governance of uncertainty and opportunism in megaprojects. Engineering, Construction and Architectural Management, 27(01), 150–67.
Wang, Y, Liu, J, Zuo, J and Rameezdeen, R (2019) Ways to improve the project management efficiency in a centralized public procurement system. Engineering, Construction and Architectural Management, 27(01), 168–85.
Yun, S and Caldas, C H (2009) Analysing decision variables that influence preliminary feasibility studies using data mining techniques. Construction Management and Economics, 27(01), 73–87.