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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.
- Type: Journal Article
- Keywords: accident prediction; missing data; multiple imputation; random forest; tower crane
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-07-2021-0606
- Abstract:
Purpose: This research is aimed at predicting tower crane accident phases with incomplete data. Design/methodology/approach: The tower crane accidents are collected for prediction model training. Random forest (RF) is used to conduct prediction. When there are missing values in the new inputs, they should be filled in advance. Nevertheless, it is difficult to collect complete data on construction site. Thus, the authors use multiple imputation (MI) method to improve RF. Finally the prediction model is applied to a case study. Findings: The results show that multiple imputation RF (MIRF) can effectively predict tower crane accident when the data are incomplete. This research provides the importance rank of tower crane safety factors. The critical factors should be focused on site, because the missing data affect the prediction results seriously. Also the value of critical factors influences the safety of tower crane. Practical implication: This research promotes the application of machine learning methods for accident prediction in actual projects. According to the onsite data, the authors can predict the accident phase of tower crane. The results can be used for tower crane accident prevention. Originality/value: Previous studies have seldom predicted tower crane accidents, especially the phase of accident. This research uses tower crane data collected on site to predict the phase of the tower crane accident. The incomplete data collection is considered in this research according to the actual situation.
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.
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.