Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Subject: search.filters.subject.Decision making

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    A novel decision support framework for building refurbishment towards zero carbon emissions
    (Elsevier Ltd, 2025-11-15) Bui TTP; Wilkinson S; Domingo N; MacGregor C
    The refurbishment of existing buildings is vital to maximise carbon emissions reduction and alleviate the impacts of climate change. While various decision support frameworks for building refurbishment exist. There is a notable gap in the availability of comprehensive frameworks that combine diverse methods, tools, and systems to support decision-making aimed at reducing whole-of-life carbon emissions. This paper brings together the development and validation processes of a novel early-stage decision support framework for building refurbishment towards zero carbon emissions in New Zealand (RefurbZC). The development of the framework was based on the critical analysis and interpretation of the literature review, preliminary study, and case study of university buildings in New Zealand, which integrate international best practices adopted to the local context and lessons learnt from real-life case studies. The framework was validated and refined using a focus group workshop with New Zealand building experts involved in the refurbishment process. The new RefurbZC provides a better detailed guideline to use in the early stages of the refurbishment process, focusing on maximising whole-of-life carbon reduction. It helps to understand the refurbishment decision-making process, identify areas for integrating carbon-reduction initiatives, determine key factors and actors in driving carbon-reduction solutions, and promote stakeholder collaboration and integration in carbon-reduction building refurbishment. The presented framework contributes extensively to theoretical and practical knowledge of building refurbishment towards zero carbon emissions and offers a basis and foundation for future work in this research area.
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    Decision making in reducing carbon emissions for building refurbishment: Case studies of university buildings in New Zealand
    (Elsevier B.V., 2023-07-05) Bui PTP; Wilkinson S; MacGregor C; Domingo N
    The refurbishment of existing buildings offers the greatest opportunity to maximise carbon reduction within the built environment. Although the conceptual framework of the refurbishment process incorporating various methods, tools, and systems to support decision making in reducing whole-of-life carbon emissions exists in the literature, empirical research reporting on how and why the decisions are made in current industry practice is lacking. This paper aims to address this knowledge gap by investigating the decision-making process of building refurbishment considering whole-of-life carbon reduction using three real-life case studies that incorporate decarbonisation decisions. The important findings emerged from an interactive analysis between theoretical propositions and cross-case synthesis. The study sheds a new insight into (1) the effective adoption of building rating systems, (2) the required whole-of-life carbon reduction targets, (3) the importance of establishing a dedicated financial budget for carbon-reduction refurbishment solutions, (4) the need for adaptable refurbishment designs and long-term strategies, (5) holistic design reports, (6) the promotion of early contractor involvement (ECI) approach, (7) government funding and incentives, and (8) the availability of supply chains and data. The originality of the paper is providing a new understanding of the decision-making practices and challenges faced in the refurbishment process, in which lessons learnt for improving the implementation of building refurbishment towards zero carbon are recommended. The research expands theoretical knowledge and practical experience in whole-of-life carbon analysis and performance estimation for building refurbishment. The insights gained from this study offer practitioners and researchers a streamlined interdisciplinary guide to better deliver refurbishment projects towards zero carbon.
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    Misinformation effects in an online sample: results of an experimental study with a five day retention interval
    (PeerJ Inc, 2021-11-18) Sievwright O; Philipp M; Drummond A; Knapp K; Ross K
    Traditional face-to-face laboratory studies have contributed greatly to our understanding of how misinformation effects develop. However, an area of emerging concern that has been relatively under-researched is the impact of misinformation following exposure to traumatic events that are viewed online. Here we describe a novel method for investigating misinformation effects in an online context. Participants (N = 99) completed the study online. They first watched a 10-min video of a fictional school shooting. Between 5 and 10 days later, they were randomly assigned to receive misinformation or no misinformation about the video before completing a recognition test. Misinformed participants were less accurate at discriminating between misinformation and true statements than control participants. This effect was most strongly supported by ROC analyses (Cohen’s d = 0.59, BF10 = 8.34). Misinformation effects can be established in an online experiment using candid violent viral-style video stimuli.
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    Decision-making for foot-and-mouth disease control: Objectives matter.
    (2016-06) Probert WJM; Shea K; Fonnesbeck CJ; Runge MC; Carpenter TE; Dürr S; Garner MG; Harvey N; Stevenson MA; Webb CT; Werkman M; Tildesley MJ; Ferrari MJ
    Formal decision-analytic methods can be used to frame disease control problems, the first step of which is to define a clear and specific objective. We demonstrate the imperative of framing clearly-defined management objectives in finding optimal control actions for control of disease outbreaks. We illustrate an analysis that can be applied rapidly at the start of an outbreak when there are multiple stakeholders involved with potentially multiple objectives, and when there are also multiple disease models upon which to compare control actions. The output of our analysis frames subsequent discourse between policy-makers, modellers and other stakeholders, by highlighting areas of discord among different management objectives and also among different models used in the analysis. We illustrate this approach in the context of a hypothetical foot-and-mouth disease (FMD) outbreak in Cumbria, UK using outputs from five rigorously-studied simulation models of FMD spread. We present both relative rankings and relative performance of controls within each model and across a range of objectives. Results illustrate how control actions change across both the base metric used to measure management success and across the statistic used to rank control actions according to said metric. This work represents a first step towards reconciling the extensive modelling work on disease control problems with frameworks for structured decision making.