ARCOM

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Aladağ, H and Işık, Z (2019) Design and construction risks in BOT type mega transportation projects. Engineering, Construction and Architectural Management, 26(10), 2223–42.

Almarri, K, Aljarman, M and Boussabaine, H (2019) Emerging contractual and legal risks from the application of building information modelling. Engineering, Construction and Architectural Management, 26(10), 2307–25.

Cajzek, R and KlanÅ¡ek, U (2019) Cost optimization of project schedules under constrained resources and alternative production processes by mixed-integer nonlinear programming. Engineering, Construction and Architectural Management, 26(10), 2474–508.

Derakhshanfar, H, Ochoa, J J, Kirytopoulos, K, Mayer, W and Tam, V W (2019) Construction delay risk taxonomy, associations and regional contexts. Engineering, Construction and Architectural Management, 26(10), 2364–88.

Fang, Y and Ng, S T (2019) Genetic algorithm for determining the construction logistics of precast components. Engineering, Construction and Architectural Management, 26(10), 2289–306.

Jin, H, Liu, S, Liu, C and Udawatta, N (2019) Optimizing the concession period of PPP projects for fair allocation of financial risk. Engineering, Construction and Architectural Management, 26(10), 2347–63.

Kumar Singla, H (2019) A comparative analysis of long-term performance of construction and non-construction IPOs in India. Engineering, Construction and Architectural Management, 26(10), 2447–73.

Kunieda, Y, Codinhoto, R and Emmitt, S (2019) Increasing the efficiency and efficacy of demolition through computerised 4D simulation. Engineering, Construction and Architectural Management, 26(10), 2186–205.

• Type: Journal Article
• Keywords: Construction; Waste management;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-11-2018-0492
• Abstract:
  The purpose of this paper is to develop a novel tool to support decision making for enhanced demolition process efficiency and material waste sortability through computerised 4D motion workflow simulation. A time-lapse evaluation model was developed to classify and estimate the impact of building demolition processes and material waste recovery. The dynamic assessment of demolition, collision and mechanical impact was measured through computerised 4D motion game and physics engines. Waste recovery and treatment complemented the simulation algorithm. The simulation of the information workflow was tested through case study using two demolition strategies. The simulation successfully estimated the efficiency and efficacy of the different demolition strategies. Thus, simulation results can potentially support better decision making related to the definition of demolition strategies associated with recycling and re-use targets. The simulation was limited to a simple machine-led demolition strategy. Further research is required to understand the impact of complex machine mechanic movements and processes on complex building fabrics. Modelling and evaluating the demolition process and its impact on material waste recovery with a time dimension is novel. The comparative analysis of quantitative data allows demolition professionals to find optimal and more sustainable demolition solutions and more efficient and safer implementation on site. It also contributes to a better understanding of the relationship between demolition strategy and waste sortability. This research represents a significant advancement in applied computing for building demolition waste recycling and notably, it improves the quality of information available in the definition of building demolition strategies.

Kwofie, T E, Aigbavboa, C O and Machethe, S O (2019) Nature of communication performance in non-traditional procurements in South Africa. Engineering, Construction and Architectural Management, 26(10), 2264–88.

Lau, C H, Mesthrige, J W, Lam, P T and Javed, A A (2019) The challenges of adopting new engineering contract: a Hong Kong study. Engineering, Construction and Architectural Management, 26(10), 2389–409.

Loosemore, M, Sunindijo, R Y, Lestari, F, Kusminanti, Y and Widanarko, B (2019) Comparing the safety climate of the Indonesian and Australian construction industries. Engineering, Construction and Architectural Management, 26(10), 2206–22.

Oyewobi, L O, Oke, A E, Adeneye, T D and Jimoh, R A (2019) Influence of organizational commitment on work–life balance and organizational performance of female construction professionals. Engineering, Construction and Architectural Management, 26(10), 2243–63.

Qayoom, A and H.W. Hadikusumo, B (2019) Multilevel safety culture affecting organization safety performance: a system dynamic approach. Engineering, Construction and Architectural Management, 26(10), 2326–46.

Sinesilassie, E G, Tripathi, K K, Tabish, S Z S and Jha, K N (2019) Modeling success factors for public construction projects with the SEM approach: engineer’s perspective. Engineering, Construction and Architectural Management, 26(10), 2410–31.

Whang, S, Park, K S and Kim, S (2019) Critical success factors for implementing integrated construction project delivery. Engineering, Construction and Architectural Management, 26(10), 2432–46.

Xiong, B, Newton, S, Li, V, Skitmore, M and Xia, B (2019) Hybrid approach to reducing estimating overfitting and collinearity. Engineering, Construction and Architectural Management, 26(10), 2170–85.