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Adzivor, E K, Emuze, F and Das, D K (2023) Indicators for safety culture in SME construction firms: a Delphi study in Ghana. Journal of Financial Management of Property and Construction, 28(03), 293-316.
Badenfelt, U (2010) I trust you, I trust you not: a longitudinal study of control mechanisms in incentive contracts. Construction Management and Economics, 28(03), 10.
Bradley, P E (2010) An ultrametric interpretation of building related event data. Construction Management and Economics, 28(03), 26.
Chao, L-C (2010) Estimating project overheads rate in bidding: DSS approach using neural networks. Construction Management and Economics, 28(03), 99.
Chen, H, Jin, Z, Su, Q and Yue, G (2021) The roles of captains in megaproject innovation ecosystems: the case of the Hong Kong‐Zhuhai‐Macau Bridge. Engineering, Construction and Architectural Management, 28(03), 662-80.
Costa, M and Lisboa, I (2023) Default prediction of small and medium enterprises: Portuguese construction sector. Journal of Financial Management of Property and Construction, 28(03), 439-58.
Fan, R Y C, Ng, S T and Wong, J M W (2010) Reliability of the Box–Jenkins model for forecasting construction demand covering times of economic austerity. Construction Management and Economics, 28(03), 54.
Fernando, S, Panuwatwanich, K and Thorpe, D (2021) Introducing an innovation promotion model for construction projects. Engineering, Construction and Architectural Management, 28(03), 728-46.
Gorod, A, Hallo, L, Statsenko, L, Nguyen, T and Chileshe, N (2021) Integrating hierarchical and network centric management approaches in construction megaprojects using a holonic methodology. Engineering, Construction and Architectural Management, 28(03), 627-61.
Hu, X, Nor, E and Hooy, C W (2023) Do political connections cause over-indebtedness? Empirical evidence from China’s listed construction firms. Journal of Financial Management of Property and Construction, 28(03), 477-97.
Jewell, C, Flanagan, R and Anaç, C (2010) Understanding UK construction professional services exports: definitions and characteristics. Construction Management and Economics, 28(03), 9.
Jiang, W, Ding, L and Zhou, C (2021) Cyber physical system for safety management in smart construction site. Engineering, Construction and Architectural Management, 28(03), 788-808.
Jones, S M, Ross, A and Sertyesilisik, B (2010) Testing the unfolding model of voluntary turnover on construction professionals. Construction Management and Economics, 28(03), 85.
Lawal, H S, Ahmadu, H A, Abdullahi, M, Yamusa, M A and Abdulrazaq, M (2023) Modeling duration of building renovation projects. Journal of Financial Management of Property and Construction, 28(03), 423-38.
- Type: Journal Article
- Keywords: artificial neural network; construction; duration; modeling; prediction; project; renovation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/JFMPC-06-2022-0030
- Abstract:
Purpose: This study aims to develop a building renovation duration prediction model incorporating both scope and non-scope factors. Design/methodology/approach: The study used a questionnaire to obtain basic information relating to identified project scope factors as well as information relating to the impact of the non-scope factors on the duration of building renovation projects. The study retrieved 121 completed questionnaires from construction firms on tertiary education trust fund (TETFund) building renovation projects. Artificial neural network was then used to develop the model using 90% of the data, while mean absolute percentage error was used to validate the model using the remaining 10% of the data. Findings: Two artificial neural network models were developed – a multilayer perceptron (MLP) and a radial basis function (RBF) model. The accuracy of the models was 86% and 80%, respectively. The developed models’ predictions were not statistically different from those of actual duration estimates with less than 20% error margin. Also, the study found that MLP models are more accurate than RBF models. Research limitations/implications: The developed models are only applicable to projects that suit the characteristics and nature of the data used to develop the models. Hence, models can only predict the duration of building renovation projects. Practical implications: The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it. Social implications: The developed models are expected to serve as a tool for realistic estimation of the duration of building renovation projects and thus, help construction project managers to effectively plan and manage it; it also helps clients to effectively benchmark projects duration and contractors to accurately estimate duration at tendering stage. Originality/value: The study presents models that combine both scope and non-scope factors in predicting the duration of building renovation projects so as to ensure more realistic predictions. © 2023, Emerald Publishing Limited.
Liu, H, Yu, Y, Sun, Y and Yan, X (2021) A system dynamic approach for simulation of a knowledge transfer model of heterogeneous senders in mega project innovation. Engineering, Construction and Architectural Management, 28(03), 681-705.
Liu, Y, Amini-Abyaneh, A, Hertogh, M, Houwing, E J and Bakker, H (2021) Collaborate to learn and learn to collaborate: a case of exploitative learning in the inter-organizational project. Engineering, Construction and Architectural Management, 28(03), 809-30.
Lowe, R (2000) Defining and meeting the carbon constraints of the 21st century. Building Research & Information, 28(03), 159–75.
Machado, M V, Roche, P M L, Mustieles, F and Oteiza, I d (2000) The fourth house: the design of a bio climatic house in Venezuela. Building Research & Information, 28(03), 196–211.
MacIntyre, S, McCord, M, Davis, P T, Zacharopoulos, A and McCord, J A (2023) A spatial examination of solar PV adopters in Northern Ireland: the role of housing market and socio-economic characteristics. Journal of Financial Management of Property and Construction, 28(03), 317-50.
Okanlawon, T T, Oyewobi, L O and Jimoh, R A (2023) Evaluation of the drivers to the implementation of blockchain technology in the construction supply chain management in Nigeria. Journal of Financial Management of Property and Construction, 28(03), 459-76.
Pellegrini-Masini, G, Bowles, G, Peacock, A D, Ahadzi, M and Banfill, P F G (2010) Whole life costing of domestic energy demand reduction technologies: householder perspectives. Construction Management and Economics, 28(03), 29.
Saka, N and Arowoiya, V (2023) An assessment of the linkages between the construction and other sectors of the Nigerian economy. Journal of Financial Management of Property and Construction, 28(03), 351-73.
Sang, L, Yu, M, Lin, H, Zhang, Z and Jin, R (2021) Big data, technology capability and construction project quality: a cross-level investigation. Engineering, Construction and Architectural Management, 28(03), 706-27.
Smyth, H (2010) Construction industry performance improvement programmes: the UK case of demonstration projects in the ‘Continuous Improvement’ programme. Construction Management and Economics, 28(03), 70.
Stewardson, A, Edwards, D J, Asamoah, E, Aigbavboa, C O, Lai, J H K and El-Gohary, H (2023) The late payment epidemic in UK construction. Journal of Financial Management of Property and Construction, 28(03), 374-97.
Thilakarathne, N, Rathnasinghe, A P, Kulatunga, U, Thurairajah, N and Weerasinghe, L (2023) An investigation of the conflict management strategies in international construction joint ventures of Sri Lanka. Journal of Financial Management of Property and Construction, 28(03), 273-92.
Thormark, C (2000) Including recycling potential in energy use into the life cycle of buildings. Building Research & Information, 28(03), 176–83.
Treloar, G J, Fay, R, Love, P E D and Iyer-Raniga, U (2000) Analysing the life-cycle energy of an Australian residential building and its householders. Building Research & Information, 28(03), 184–95.
Zeng, R, Chini, A and Ries, R (2021) Innovative design for sustainability: Integrating embodied impacts and costs during the early design phase. Engineering, Construction and Architectural Management, 28(03), 747-64.
Zhang, J, Li, H, Li, V, Xia, B and Skitmore, M (2021) Internal relationships of market-oriented EFQM enablers in the Chinese construction industry. Engineering, Construction and Architectural Management, 28(03), 765-87.