John Tookey
- : Development of trust-based autonomous driving framework in New Zealand. In: Smart and Sustainable Built Environment.
- (2022): Consolidating loads for sustainable construction in New Zealand: a literature review-based research framework. In: Smart and Sustainable Built Environment, v. 11, n. 2 (Juli 2022).
- (2021): An empirical examination of Green Star certification uptake and its relationship with BIM adoption in New Zealand. In: Smart and Sustainable Built Environment, v. 12, n. 1 (September 2021).
- (2021): Construction project planning and scheduling as a dynamic system: a content analysis of the current status, technologies and forward action. In: Smart and Sustainable Built Environment, v. 11, n. 4 (August 2021).
- (2020): Examining critical perspectives on Building Information Modelling (BIM) adoption in New Zealand. In: Smart and Sustainable Built Environment, v. 10, n. 4 (Juli 2020).
- (2016): Integrating alternative technologies to improve built environment sustainability in Africa. Nexus of energy and water. In: Smart and Sustainable Built Environment, v. 5, n. 3 (September 2016).
- (2024): Developing a framework for building information modelling (BIM) adoption in New Zealand. In: Built Environment Project and Asset Management, v. 14, n. 3 (März 2024).
- (2021): Achieving construction innovation in best value procurement projects: New Zealand mega projects study. In: Construction Innovation, v. 22, n. 2 (Oktober 2021).
- (2021): Creating a case for innovation acceleration in the New Zealand building industry. In: Construction Innovation, v. 22, n. 1 (August 2021).
- (2008): Flow modelling of construction site materials and waste logistics. A case study from Cape Town, South Africa. In: Engineering, Construction and Architectural Management, v. 15, n. 5 (September 2008).
- (2014): Addressing effective construction logistics through the lens of vehicle movements. In: Engineering, Construction and Architectural Management, v. 21, n. 3 (Mai 2014).
- (2017): Amplifying the practicality of contemporary building information modelling (BIM) implementations for New Zealand green building certification (Green Star). In: Engineering, Construction and Architectural Management, v. 24, n. 4 (Juli 2017).
- (2021): Dynamic Bayesian network modelling for predicting adaptability of time performance during time influencing factors disruptions in construction enterprise. In: Engineering, Construction and Architectural Management, v. 28, n. 10 (Februar 2021).
- (2018): Intelligent or smart cities and buildings: a critical exposition and a way forward. In: Intelligent Buildings International, v. 10, n. 2 (April 2018).
- (2017): A critical comparison of green building rating systems. In: Building and Environment, v. 123 (Oktober 2017).
- (2019): An optimisation process to motivate effective adoption of BIM for refurbishment of complex buildings in New Zealand. In: Frontiers of Architectural Research, v. 8, n. 4 (Dezember 2019).
- (2018): A proposed framework to investigate effective BIM adoption for refurbishment of building projects. In: Architectural Science Review, v. 61, n. 6 (Oktober 2018).
- (2018): Sick building syndrome: are we doing enough?. In: Architectural Science Review, v. 61, n. 3 (März 2018).
- (2008): Evaluating Truck Empty Running in Construction: A Case Study from Cape Town, South Africa. In: Australasian Journal of Construction Economics and Building, v. 8, n. 2 (November 2008).
- (2014): Procurement Selection Model: Development of a Conceptual Model Based on Transaction Costs. In: Australasian Journal of Construction Economics and Building - Conference Series, v. 2, n. 2 (April 2014).
- (2015): Evaluating Defect Reporting in New Residential Buildings in New Zealand. In: Buildings, v. 5, n. 1 (Januar 2015).
- (2019): Exploring the environmental influence on BIM adoption for refurbishment project using structural equation modelling. In: Architectural Engineering and Design Management, v. 16, n. 1 (Mai 2019).
- (2019): ND BIM-integrated knowledge-based building management: Inspecting post-construction energy efficiency. In: Automation in Construction, v. 97 (Januar 2019).
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