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Ashtab, M and Ryoo, B Y (2022) Predicting Construction Workforce Demand Using a Combination of Feature Selection and Multivariate Deep-Learning Seq2seq Models. Journal of Construction Engineering and Management, 148(12).
Damdelen, O and Tansu, A (2022) Influence of Recycled Plastic on the Thermal Transmittance and Sustainable Assessment of Concrete Mixes. Journal of Construction Engineering and Management, 148(12).
Kazar, G, Doğan, N B, Ayhan, B U and Tokdemir, O B (2022) Quality Failures–Based Critical Cost Impact Factors: Logistic Regression Analysis. Journal of Construction Engineering and Management, 148(12).
Khurana, M, Garvin, M J and Mahalingam, A (2022) Synthesis of Relational Practices for PPP Contracts and Their Linkage with Governance Mechanisms. Journal of Construction Engineering and Management, 148(12).
Li, S and Xu, Z (2022) System Configuration Design of BIM Object-Oriented Database for Civil Engineering. Journal of Construction Engineering and Management, 148(12).
Lin, S and Cheung, S O (2022) Exploring the Concept of Psychological Distance and Its Impact on Intention to Settle in Construction Dispute Negotiation. Journal of Construction Engineering and Management, 148(12).
Naumets, S, Lu, M and Ali, M (2022) Project Schedule Development under Environment-Induced Time-Window Constraints: Case of Constructing River-Crossing Bridge in Remote Northern Region. Journal of Construction Engineering and Management, 148(12).
Pirzadeh, P, Lingard, H and Zhang, R P (2022) Job Quality and Construction Workers’ Mental Health: Life Course Perspective. Journal of Construction Engineering and Management, 148(12).
Salazar, L A, Ballard, G, Arroyo, P and Alarcón, L F (2022) Development of a Commitment Management System for Construction Projects. Journal of Construction Engineering and Management, 148(12).
Shafique, F and Mollaoglu, S (2022) Shared Transformational Leadership for Green Architecture Engineering and Construction Project Teams: A Study of LEED Projects. Journal of Construction Engineering and Management, 148(12).
Shen, Y, Lin, Z and Wang, Z (2022) Single-Side Accumulative Jacking Construction Method for Large-Span Arched Latticed Shells. Journal of Construction Engineering and Management, 148(12).
Tommelein, I D (2022) Work Density Method for Takt Planning of Construction Processes with Nonrepetitive Work. Journal of Construction Engineering and Management, 148(12).
Wang, J, Han, J, Chen, J, Ding, G, Feng, G, Liu, T and Guo, B (2022) Experimental and Numerical Study on the Dynamic Response of a Superthick Backfill Subgrade under High-Speed Railway Loading: A Case Study of Qianjiang–Zhangjiajie–Changde Railway. Journal of Construction Engineering and Management, 148(12).
Zou, Y, Wu, Y, Guo, B H W, Papadonikolaki, E, Dimyadi, J and Hung, S N (2022) Investigating the New Zealand Off-Site Manufacturing Industry’s Readiness for Automated Compliance Checking. Journal of Construction Engineering and Management, 148(12).
- Type: Journal Article
- Keywords: Automated compliance checking (ACC); Building information modeling (BIM); Off-site manufacturing (OSM); Technology adoption;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002384
- Abstract:
Numerous automated compliance checking (ACC) approaches have been developed over the last half of the twentieth century. However, little is known as to how well the ACC technology has served the off-site manufacturing (OSM) industry from the end users’ perspective. This paper aims to measure the New Zealand (NZ) OSM industry’s awareness and readiness for ACC and explore a pathway toward wider ACC adoption. It first reports on a survey study in NZ with 44 valid survey responses. It then proposes a high-level roadmap with key actions that can facilitate wider ACC adoption through 16 interviews with international ACC experts and a focus group with nine local OSM stakeholders. The results show that although there is a high demand for automating compliance processes, the OSM industry, especially small and medium enterprises, are not ready to adopt the ACC technology. Suggestions to address this include (1) establish the foundation for broad ACC adoption; (2) boost the development of the ACC technology to expedite its maturity, (3) test the ACC technology under different scenarios and customize it for the NZ context; (4) encourage the government to provide funding and policy support; and (5) promote education and training of both building information modeling (BIM) and ACC to OSM stakeholders. The results can provide software vendors with valuable information about user expectations and requirements to develop ACC products that can better serve NZ OSM projects, and help OSM stakeholders in NZ and countries with similar economic and regulatory structures to understand the technological and nontechnological gaps to better prepare for the ACC technology adoption.