Search results

This research is focused on solar-powered (smart) urban furniture, and it is aimed at providing a classification of it and to understand the main problems related to the adoption of these devices and where future design-led research should focus.

The methodology involved a selection of international case studies in important urban contexts focussing on three main aspects: architectural integration, context sensitivity and system visibility of photovoltaic (PV) technologies applied to smart urban furniture.

The preliminary results indicate that potential limits to the application of these technologies are urban morphology and lack of design of some solutions.

This research is focused on solar-powered (smart) urban furniture. Further investigation on built case studies may lead to a better understanding of the efficiency of the smart urban furniture and their appreciation by the people.

This study can be useful to understand the potential use and customization of these products in New Zealand.

In Auckland’s central business district, these tools can be useful to help homeless people to recharge their phones and offer access to free Wi-Fi. Energy generation can be useful also for providing temporary heating during winter and so forth.

Design proposals and research highlight public benefits of smart urban furniture without considering aspects like their integration with the surrounding context. This is also the first study that identifies lack of design in some of the solutions available in the market.

Informed by acoustic design standards, the built environments are designed with single reverberation times (RTs), a trade-off between long and short RTs needed for different space functions. A range of RTs should be achievable in spaces to optimise the acoustic comfort in different aural situations. This paper proclaims a novel concept: Intelligent passive room acoustic technology (IPRAT), which achieves real-time room acoustic optimisation through the integration of passive variable acoustic technology (PVAT) and acoustic scene classification (ASC). ASC can intelligently identify changing aural situations, and PVAT can physically vary the RT.

A qualitative best-evidence synthesis method is used to review the available literature on PVAT and ASC.

First, it is highlighted that dynamic spaces should be designed with varying RTs. The review then exposes a gap of intelligently adjusting RT according to changing building function. A solution is found: IPRAT, which integrates PVAT and ASC to uniquely fill this literature gap.

The development, functionality, benefits and challenges of IPRAT offer a holistic understanding of the state-of-the-art IPRAT, and a use case example is provided. Going forward, it is concluded that IPRAT can be prototyped and its impact on acoustic comfort can be quantified.

Dynamic planning and scheduling forms a widely adopted smart strategy for solving real-world problems in diverse business systems. This paper uses deductive content analysis to explore secondary data from previous studies in dynamic planning and scheduling to draw conclusions on its current status, forward action and research needs in construction management.

The authors searched academic databases using planning and scheduling keywords without a periodic setting. This research collected secondary data from the database to draw an objective comparison of categories and conclusions about how the data relates to planning and scheduling to avoid the subjective responses from questionnaires and interviews. Then, applying inclusion and exclusion criteria, we selected one hundred and four articles. Finally, the study used a seven-step deductive content analysis to develop the categorisation matrix and sub-themes for describing the dynamic planning and scheduling categories. The authors used deductive analysis because of the secondary data and categories comparison. Using the event types represented in a quadrant mapping, authors delve into where, when, application and benefits of the classes.

The content analysis showed that all the accounts and descriptions of dynamic planning and scheduling are identifiable in an extensive research database. The content analysis reveals the need for multi-hybrid (4D BIM-Agent based-discrete event-discrete rate-system dynamics) simulation modelling and optimisation method for proffering solutions to scheduling and planning problems, its current status, tools and obstacles.

This research reveals the deductive content analysis talent in construction research. It also draws direction, focuses and raises a question on dynamic planning and scheduling research concerning the five-integrated model, an opportunity for their integration, models combined attributes and insight into its solution viability in construction.

Informed by acoustic design standards, the built environments are designed with single reverberation times (RTs), a trade-off between long and short RTs needed for different space functions. The novel intelligent passive room acoustic technology (IPRAT) has the potential to revolutionise room acoustics, thus, it is imperative to analyse and quantify its effect. IPRAT achieves real-time room acoustic improvement by integrating passive variable acoustic technology (PVAT) and acoustic scene classification (ASC). This paper aims to compare IPRAT simulation results with the AS/NZS 2107:2016 Australian/New Zealand recommended design acoustic standards.

In this paper 20 classroom environments are virtually configured for the simulation, multiplying 5 classrooms with 4 aural situations typical to New Zealand classrooms. The acoustic parameters RT, sound clarity (C50) and sound strength (G) are considered and analysed in the simulation. These parameters can be used to determine the effects of improved acoustics for both teacher vocal relief and student comprehension. The IPRAT was assumed to vary RT and was represented in the simulation by six different absorption coefficient spectrums.

The optimised acoustic parameters were derived from relationships between C50, RT and G. These relationships and optimal RTs contribute a unique database to literature. IPRAT’s advantages were discerned from a comparison of “current,” “attainable” and “optimised” acoustic parameters.

By quantifying the effect of IPRAT, it is understood that IPRAT has the potential to satisfy the key recommendations of professional industry standards (for New Zealand namely; AS/NZS 2107:2016 recommended design acoustic standards).

This paper critically analysed 195 articles with the objectives of providing a clear understanding of the current City Information Modelling (CIM) implementations, identifying the main challenges hampering the uptake of CIM and providing recommendations for the future development of CIM.

This paper adopts the PRISMA method in order to perform the systematic literature review.

The results identified nine domains of CIM implementation including (1) natural disaster management, (2) urban building energy modelling, (3) urban facility management, (4) urban infrastructure management, (5) land administration systems, (6) improvement of urban microclimates, (7) development of digital twin and smart cities, (8) improvement of social engagement and (9) urban landscaping design. Further, eight challenges were identified that hinder the widespread employment of CIM including (1) reluctance towards CIM application, (2) data quality, (3) computing resources and storage inefficiency, (4) data integration between BIM and GIS and interoperability, (5) establishing a standardised workflow for CIM implementation, (6) synergy between all parties involved, (7) cybersecurity and intellectual property and (8) data management.

This is the first paper of its kind that provides a holistic understanding of the current implementation of CIM. The outcomes will benefit multiple target groups. First, urban planners and designers will be supplied with a status-quo understanding of CIM implementations. Second, this research introduces possibilities of CIM deployment for the governance of cities; hence the outcomes can be useful for policymakers. Lastly, the scientific community can use the findings of this study as a reference point to gain a comprehensive understanding of the field and contribute to the future development of CIM.

A long-term collaborative public water infrastructure procurement contract in New Zealand adopts “Enterprise Alliance” delivery (strategy) with a Construction Consolidation Centre (CCC) (operational) logistics solution. New Zealand's unique spatial, market, regulatory and economic circumstances present a research gap pertaining to the sustainability impacts of the combinatory implementation. The paper suggests a literature review-based research framework for examining these.

Systematic literature review (SLR) discovers unique New Zealand attributes, and sustainability impacts of both the approaches overseas. Towards formulating a research framework, the paper discusses sustainability of construction and its New Zealand context, and research focus within the implemented model. Significant issues from SLR reveal Design, Logistics, Impacts and Spin-offs research domains. The paper suggests a research framework and examines an appropriate research design.

CCC implementation under a programme alliance is without precedent in New Zealand. Variance of New Zealand's unique attributes from North American and European characteristics behind successful implementation are likely to impact domestic outcomes. A research framework to test this hypothesis will enable investigating the relevance of the concepts to New Zealand settings and provide a contextual implementation datum. Implementation benchmarks will potentially influence public policy and enrich indigenous knowledge corpus, potentially transferrable to associated domains (urban planning, transportation and energy).

The paper attempts to define a research direction in the domain of applying supply chain management principles to the New Zealand's construction sector by investigating the employment of a CCC in a collaborative environment as an infrastructure project delivery vehicle with sustainability leanings.

A construction project is complex and requires dynamic modelling of a range of factors that deters time performance because of uncertainty and varying operating conditions. In construction project systems, the system components are the interconnected stages, which are time-dependent. Within the project stages are the activities which are the subsystems of the system components, causing a challenge to the analysis of the complex system. The relationship of construction project time management (CTM) with the construction project time influencing factors (CTFs) and the adaptability of the time-varying system is a key part of project effectiveness. This study explores the relationship between CTM and CTF, including the potentials to add dynamical changes on every project stage.

This study proposed a dynamic Bayesian network (DBN) model to examine the relationship between CTM and CTF. The model investigates the time performance of a construction project that enhances decision-making. First, the paper establishes a model of probabilistic reasoning and directed acrylic graph (DAG). Second, the study tests the dynamic impact (IM) of CTM-CTF on the project stages over a specific time, including the adaptability of time performance during disruptive CTF events. In demonstrating the effectiveness of the model, the authors selected one-organisation-single-location road-improvement project as the case study. Next, the confirmation of the model internal validity relied on conditional probabilities and the project knowledge experts' selected from the case company.

The study produced structural dependencies of CTM and CTF with probability observations at each stage. A predictive time performance analysis of the model at different scenarios evaluates the adaptability of CTM during CTF uncertain events. The case demonstration of the model application shows that CTFs have effects on CTM strategy, creating the observations to help time performance restorations after disruptions.

Although the case company experts' panel confirms the internal validity of the results for managing time, the model used conditional probability table (CPT) and project state values from a project contract. A project-wide application then will require multi-case data and data-mining process for generating the CPTs.

The study developed a method for evaluating both quantitative and qualitative relationships between CTM and CTF, besides the knowledge to enhance CTM practice and research. In construction, the project team can use model observations to implement time performance restorations after a predictive or reactive disruption, which enhances decision-making.

The model used qualitative and qualitative data of a complex system to generate results, bounded by a range of probability distributions for CTM-CTF interconnections during time performance disruptions and restorations. The research explores the approach that can complement the mental CTM-CTF modeling of the project team. The CTM-CTF relationship model developed in this research is fundamental knowledge for future research, besides the valuable insight into CTF influence on CTM.

This research aims to explore the perspectives of the key actors in the New Zealand construction industry towards BIM adoption. Specifically, four themes are examined, including what BIM is; BIM knowledge and understanding; benefits of BIM adoption; and challenges/barriers to BIM adoption.

A qualitative approach using 21 semi-structured interviews with industry experts was adopted.

The results raise a question concerning whether the New Zealand construction industry needs a unique definition of BIM to achieve a clear and consistent understanding amongst construction practitioners. It was found out that most of the construction practitioners in New Zealand are not well aware of BIM, especially the contractors, QSs, supply chain companies and the SMEs. Fourteen potential benefits and ten barriers/challenges to BIM adoption were identified. Individually, time-saving was considered as the most benefit of BIM adoption while BIM understanding was suggested as the most significant barrier by all the interviewees.

The research provides valuable insights into BIM understanding as well as recommendations regarding BIM adoption in New Zealand. The results could be considered baseline information for the companies and government to have effective strategies towards BIM adoption. Furthermore, it confirms that characteristics such as benefits and barriers to BIM adoption amongst different countries could be similar. Therefore, it could be useful to analyse the studies, strategies and practices of the pioneer countries in BIM adoption for the implementation.

Green building information modelling (BIM) has been highlighted as an essential topic owing to its potential benefits. However, both Green Star and BIM are still in their earlier stages in New Zealand. This paper aims to examine and evaluate the benefits, barriers/challenges and solutions for the integration of Green Star and BIM in New Zealand.

In this paper, a total of 77 responses collected from construction professionals in New Zealand using questionnaires were analysed through descriptive and statistical tests.

Building performance modelling used for Green Star assessment can be implemented using BIM; this was highlighted as the most significant benefit of the integration. Whereas, the most significant barrier preventing the integration of Green Star and BIM was the fact they are two completely separate processes. Regarding the solutions for the integration, showcasing BIM-Green Star benchmark projects was considered as the most effective solution amongst a range of eight provided.

The research provided insights into Green Star–BIM integration in New Zealand. By evaluating the significance of the benefits, barriers/challenges and solutions for the integration, this research could be used as a guideline for Green Star and BIM development by New Zealand Green Building Council (NZGBC), the Government and construction practitioners in New Zealand. Specifically, the results here could be valuable inputs for Green Star manuals and the New Zealand BIM handbook.