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Abdirad, H and Dossick, C S (2019) Normative and descriptive models for COBie implementation: discrepancies and limitations. Engineering, Construction and Architectural Management, 26(08), 1820–36.

Almarri, K, Alzahrani, S and Boussabaine, H (2019) An evaluation of the impact of risk cost on risk allocation in public private partnership projects. Engineering, Construction and Architectural Management, 26(08), 1696–711.

Almeida, L, Tam, V W, Le, K N and She, Y (2020) Effects of occupant behaviour on energy performance in buildings: a green and non-green building comparison. Engineering, Construction and Architectural Management, 27(08), 1939–62.

Anson, M, Ying, K T and Siu, M F (2019) Analytical models towards explaining the difficulty in efficiently matching site concrete supply resources with placing crew needs. Engineering, Construction and Architectural Management, 26(08), 1672–95.

Antwi-Afari, M F, Li, H, Wong, J K, Oladinrin, O T, Ge, J X, Seo, J and Wong, A Y L (2019) Sensing and warning-based technology applications to improve occupational health and safety in the construction industry. Engineering, Construction and Architectural Management, 26(08), 1534–52.

Au-Yong, C P, Chua, S J L, Ali, A S and Tucker, M (2019) Optimising maintenance cost by prioritising maintenance of facilities services in residential buildings. Engineering, Construction and Architectural Management, 26(08), 1593–607.

Charkhakan, M H and Heravi, G (2019) Evaluating the preventability of conflicts arising from change occurrence in construction projects. Engineering, Construction and Architectural Management, 26(08), 1777–800.

Gao, J, Ren, H, Ma, X, Cai, W and Shi, Q (2019) A total energy efficiency evaluation framework based on embodied energy for the construction industry and the spatio-temporal evolution analysis. Engineering, Construction and Architectural Management, 26(08), 1652–71.

Habibi, M and Kermanshachi, S (2018) Phase-based analysis of key cost and schedule performance causes and preventive strategies. Engineering, Construction and Architectural Management, 25(08), 1009–33.

He, Q, Wang, T, Chan, A P, Li, H and Chen, Y (2019) Identifying the gaps in project success research. Engineering, Construction and Architectural Management, 26(08), 1553–73.

Hilali, A, Charoenngam, C and Barman, A (2019) Barriers in contractual scope management of international development projects in Afghanistan. Engineering, Construction and Architectural Management, 26(08), 1574–92.

Hopkin, T, Lu, S, Sexton, M and Rogers, P (2019) Learning from defects in the UK housing sector using action research. Engineering, Construction and Architectural Management, 26(08), 1608–24.

Hu, W, Dong, J, Hwang, B, Ren, R and Chen, Z (2020) Network planning of urban underground logistics system with hub-and-spoke layout: two phase cluster-based approach. Engineering, Construction and Architectural Management, 27(08), 2079–105.

Jacob, J and Varghese, K (2018) A framework for ad hoc information management for the building design process. Engineering, Construction and Architectural Management, 25(08), 1034–52.

Jacobsson, M and Merschbrock, C (2018) BIM coordinators: a review. Engineering, Construction and Architectural Management, 25(08), 989–1008.

Jeelani, I, Han, K and Albert, A (2020) Development of virtual reality and stereo-panoramic environments for construction safety training. Engineering, Construction and Architectural Management, 27(08), 1853–76.

Ji, Y, Qi, K, Qi, Y, Li, Y, Li, H X, Lei, Z and Liu, Y (2020) BIM-based life-cycle environmental assessment of prefabricated buildings. Engineering, Construction and Architectural Management, 27(08), 1703–25.

Jin, R, Zou, Y, Gidado, K, Ashton, P and Painting, N (2019) Scientometric analysis of BIM-based research in construction engineering and management. Engineering, Construction and Architectural Management, 26(08), 1750–76.

Li, H X, Ma, Z, Liu, H, Wang, J, Al-Hussein, M and Mills, A (2020) Exploring and verifying BIM-based energy simulation for building operations. Engineering, Construction and Architectural Management, 27(08), 1679–702.

Li, Q, Sun, Q, Tao, S and Gao, X (2019) Multi-skill project scheduling with skill evolution and cooperation effectiveness. Engineering, Construction and Architectural Management, 27(08), 2023–45.

Li, X, Li, J, Zhang, X, Gao, J and Zhang, C (2020) Simplified analysis of cable-stayed bridges with longitudinal viscous dampers. Engineering, Construction and Architectural Management, 27(08), 1993–2022.

Liang, R and Chong, H (2019) A hybrid group decision model for green supplier selection: a case study of megaprojects. Engineering, Construction and Architectural Management, 26(08), 1712–34.

Lu, H, Qi, J, Li, J, Xie, Y, Xu, G and Wang, H (2020) Multi-agent based safety computational experiment system for shield tunneling projects. Engineering, Construction and Architectural Management, 27(08), 1963–91.

Meng, J, Yan, J, Xue, B, Fu, J and He, N (2018) Reducing construction material cost by optimizing buy-in decision that accounts the flexibility of non-critical activities. Engineering, Construction and Architectural Management, 25(08), 1092–108.

Meng, Q, Zhang, Y, Li, Z, Shi, W, Wang, J, Sun, Y, Xu, L and Wang, X (2020) A review of integrated applications of BIM and related technologies in whole building life cycle. Engineering, Construction and Architectural Management, 27(08), 1647–77.

Murillo, K P, Rocha, E and Rodrigues, M F (2019) Construction sectors efficiency analysis on seven European countries. Engineering, Construction and Architectural Management, 26(08), 1801–19.

Park, E, Kwon, S J and Han, J (2019) Antecedents of the adoption of building information modeling technology in Korea. Engineering, Construction and Architectural Management, 26(08), 1735–49.

Rajagopalan, G (2019) Durability of alumina silicate concrete based on slag/fly ash blends against corrosion. Engineering, Construction and Architectural Management, 26(08), 1641–51.

Rohani, M, Shafabakhsh, G, Haddad, A and Asnaashari, E (2018) Strategy management of construction workspaces by conflict resolution algorithm and visualization model. Engineering, Construction and Architectural Management, 25(08), 1053–74.

Sawan, R, Low, J F and Schiffauerova, A (2018) Quality cost of material procurement in construction projects. Engineering, Construction and Architectural Management, 25(08), 974–88.

Sepasgozar, S M, Davis, S, Loosemore, M and Bernold, L (2018) An investigation of modern building equipment technology adoption in the Australian construction industry. Engineering, Construction and Architectural Management, 25(08), 1075–91.

Silverio-Fernandez, M A, Renukappa, S and Suresh, S (2019) Evaluating critical success factors for implementing smart devices in the construction industry. Engineering, Construction and Architectural Management, 26(08), 1625–40.

Stride, M, Hon, C K, Liu, R and Xia, B (2020) The use of building information modelling by quantity surveyors in facilities management roles. Engineering, Construction and Architectural Management, 27(08), 1795–812.

Tang, L, Griffith, L, Stevens, M and Hardie, M (2020) Social media analytics in the construction industry comparison study between China and the United States. Engineering, Construction and Architectural Management, 27(08), 1877–89.

Wu, H, Shen, G, Lin, X, Li, M, Zhang, B and Li, C Z (2020) Screening patents of ICT in construction using deep learning and NLP techniques. Engineering, Construction and Architectural Management, 27(08), 1891–912.

Xie, X, Lu, Q, Rodenas-Herraiz, D, Parlikad, A K and Schooling, J M (2020) Visualised inspection system for monitoring environmental anomalies during daily operation and maintenance. Engineering, Construction and Architectural Management, 27(08), 1835–52.

Xu, M, Mei, Z, Luo, S and Tan, Y (2020) Optimization algorithms for construction site layout planning: a systematic literature review. Engineering, Construction and Architectural Management, 27(08), 1913–38.

Xu, W and Wang, T (2020) Dynamic safety prewarning mechanism of human–machine–environment using computer vision. Engineering, Construction and Architectural Management, 27(08), 1813–33.

• Type: Journal Article
• Keywords: Prewarning mechanism; Human-machine-environment integration; Grey multihierarchical analysis; Computer vision;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-12-2019-0732
• Abstract:
  This study provides a safety prewarning mechanism, which includes a comprehensive risk assessment model and a safety prewarning system. The comprehensive risk assessment model is capable of assessing nine safety indicators, which can be categorised into workers’ behaviour, environment and machine-related safety indicators, and the model is embedded in the safety prewarning system. The safety prewarning system can automatically extract safety information from surveillance cameras based on computer vision, assess risks based on the embedded comprehensive risk assessment model, categorise risks into five levels and provide timely suggestions. Firstly, the comprehensive risk assessment model is constructed by adopting grey multihierarchical analysis method. The method combines the Analytic Hierarchy Process (AHP) and the grey clustering evaluation in the grey theory. Expert knowledge, obtained through the questionnaire approach, contributes to set weights of risk indicators and evaluate risks. Secondly, a safety prewarning system is developed, including data acquisition layer, data processing layer and prewarning layer. Computer vision is applied in the system to automatically extract real-time safety information from the surveillance cameras. The safety information is then processed through the comprehensive risk assessment model and categorized into five risk levels. A case study is presented to verify the proposed mechanism. Through a case study, the result shows that the proposed mechanism is capable of analyzing integrated human-machine-environment risk, timely categorising risks into five risk levels and providing potential suggestions. The comprehensive risk assessment model is capable of assessing nine risk indicators, identifying three types of entities, workers, environment and machine on the construction site, presenting the integrated risk based on nine indicators. The proposed mechanism, which adopts expert knowledge through Building Information Modeling (BIM) safety simulation and extracts safety information based on computer vision, can perform a dynamic real-time risk analysis, categorize risks into five risk levels and provide potential suggestions to corresponding risk owners. The proposed mechanism can allow the project manager to take timely actions.

Xu, Z, Wang, X, Xiao, Y and Yuan, J (2020) Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method. Engineering, Construction and Architectural Management, 27(08), 1763–94.

Yuan, J, Li, X, Ke, Y, Xu, W and Xu, Z (2020) Developing a building information modeling–based performance management system for public–private partnerships. Engineering, Construction and Architectural Management, 27(08), 1727–62.

Zhang, J, Ouyang, Y, Li, H, Ballesteros-Pérez, P and Skitmore, M (2020) Simulation analysis of incentives on employees' acceptance of foreign joint venture management practices: a case study. Engineering, Construction and Architectural Management, 27(08), 2047–78.