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Abbasianjahromi, H and Aghakarimi, M (2023) Safety performance prediction and modification strategies for construction projects via machine learning techniques. Engineering, Construction and Architectural Management, 30(03), 1146-64.
Ashkanani, S and Franzoi, R (2023) Gaps in megaproject management system literature: a systematic overview. Engineering, Construction and Architectural Management, 30(03), 1300-18.
Chotibhongs, R and Arditi, D (2012) Analysis of collusive bidding behaviour. Construction Management and Economics, 30(03), 221-31.
Dabirian, S, Ahmadi, M and Abbaspour, S (2023) Analyzing the impact of financial policies on construction projects performance using system dynamics. Engineering, Construction and Architectural Management, 30(03), 1201-21.
Devaney, S and Roberts, D (2012) Who gets the jobs? Factors influencing the employability of property and construction graduates in the UK. Construction Management and Economics, 30(03), 233-46.
Devapriya, K A K and Ganesan, S (2002) Technology transfer subcontracting in developing countries through. Building Research & Information, 30(03), 171–82.
Duan, P and Zhou, J (2023) Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling. Engineering, Construction and Architectural Management, 30(03), 1037-60.
English, J (2002) Managing cultural differences to improve industrial efficiency. Building Research & Information, 30(03), 196–204.
Franz, B, Wang, T and Issa, R R (2023) Exploration of burnout in early-career construction management professionals in the USA. Engineering, Construction and Architectural Management, 30(03), 1061-79.
Jaradat, S and Beunders, N (2023) Participatory design in refugee camps: Ethnographic case studies from Greece. Engineering, Construction and Architectural Management, 30(03), 1080-97.
Jiang, L, Zhao, T, Feng, C and Zhang, W (2023) Improvement of random forest by multiple imputation applied to tower crane accident prediction with missing data. Engineering, Construction and Architectural Management, 30(03), 1222-42.
Joseph, V R and Mustaffa, N K (2023) Carbon emissions management in construction operations: a systematic review. Engineering, Construction and Architectural Management, 30(03), 1271-99.
Kumaraswamy, M M and Shrestha, G B (2002) Targeting 'technology exchange' for faster organizational and industry development. Building Research & Information, 30(03), 183–95.
Liu, X X, Liu, H H, Yang, G L and Pan, J F (2023) Productivity assessment of the real estate industry in China: a DEA-Malmquist index. Engineering, Construction and Architectural Management, 30(03), 1243-70.
Lopes, J, Ruddock, L and Ribeiro, F L (2002) Investment in construction and economic growth in developing countries. Building Research & Information, 30(03), 152–9.
Murguia, D, Demian, P and Soetanto, R (2023) The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: an empirical study in Peru. Engineering, Construction and Architectural Management, 30(03), 1183-200.
Ngowi, A B, Iwisi, D S and Mushi, R J (2002) Competitive strategy of low financial in a context resources. Building Research & Information, 30(03), 205–11.
Polesie, P M A (2012) Reducing the use of resources in medium-sized Swedish construction enterprises: production managers' views. Construction Management and Economics, 30(03), 193-202.
Rashed, A and Mutis, I (2023) Trends of integrated project delivery implementations viewed from an emerging innovation framework. Engineering, Construction and Architectural Management, 30(03), 989-1014.
Rotimi, J O B, Ramanayaka, C D E, Olatunji, O A and Rotimi, F E (2023) Migrant construction workers' demography and job satisfaction: a New Zealand study. Engineering, Construction and Architectural Management, 30(03), 1122-45.
Schoenwitz, M, Naim, M and Potter, A (2012) The nature of choice in mass customized house building. Construction Management and Economics, 30(03), 203-19.
Shahi, S, Beesley, P and Haas, C T (2023) Creating space and time for innovation - a methodology for building adaptation design appraisal using physics-based simulation tools and interactive multi-objective optimization. Engineering, Construction and Architectural Management, 30(03), 1098-121.
- Type: Journal Article
- Keywords: architecture; decision support systems; design; simulation
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-02-2021-0133
- Abstract:
Purpose: It is crucial to consider the multitude of possible building adaptation design strategies for improving the existing conditions of building stock as an alternative to demolition. Design/methodology/approach: Integration of physics-based simulation tools and decision-making tools such as Multi-Attribute Utility (MAU) and Interactive Multi-objective Optimization (IMO) in the design process enable optimized design decision-making for high-performing buildings. A methodology is presented for improving building adaptation design decision making, specifically in the early-stage design feasibility analysis. Ten residential building adaptation strategies are selected and applied to one primary building system for eight performance metrics using physics-based simulation tools. These measures include energy use, thermal comfort, daylighting, natural ventilation, systems performance, life cycle, cost-benefit and constructability. The results are processed using MAU and IMO analysis and are validated through sensitivity analysis by testing one design strategy on three building systems. Findings: Quantifiable comparison of building adaptation strategies based on multiple metrics derived from physics-based simulations can assist in the evaluation of overall environmental performance and economic feasibility for building adaptation projects. Research limitations/implications: The current methodology presented is limited to the analysis of one decision-maker at a time. It can be improved to include multiple decision-makers and capture varying perspectives to reflect common practices in the industry. Practical implications: The methodology presented supports affordable generation and analysis of a large number of design options for early-stage design optimization. Originality/value: Given the practical implications, more space and time is created for exploration and innovation, resulting in potential for improved benefits.
Shang, T, Hu, X, Ye, K and Tam, V W Y (2023) Will contractors pursue unsustainable practices following environmental recovery? A highway case in China. Engineering, Construction and Architectural Management, 30(03), 1165-82.
Zawdie, G and Langford, D A (2002) Influence of construction-based infrastructure on the development process in Sub-Saharan Africa. Building Research & Information, 30(03), 160–70.
Zhao, G, Yu, X, Zhang, J, Li, W and Wu, P (2023) Neighborhood micro-renewal: a perspective of gene in China. Engineering, Construction and Architectural Management, 30(03), 1015-36.