Journal Articles

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

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Subject: search.filters.subject.Climate change adaptation

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    An explorative analysis of gameplay data based on a serious game of climate adaptation in Aotearoa New Zealand
    (Elsevier B.V., 2025-08-27) Yang W; Harrison S; Blackett P; Allison A
    Serious games play a crucial role in educating and engaging the public on environmental management issues, such as climate change. These games also generate valuable data that can be used in understanding players' climate change decisions. However, there is a notable gap in the literature on serious game analytics to address the significance of scrutinising the usefulness of utilising gameplay data to explore player behaviours. This paper explores this gap through descriptive and quantitative analysis of gameplay data from ‘The Township Flooding Challenge’ in Aotearoa New Zealand to obtain data insights and data gaps in understanding players' behaviours and decisions on climate change adaptation. The findings suggest that gameplay data can offer insights into players' decisions on climate change adaptations amid uncertainty, but also highlights data gaps such as unclear definitions and incomplete data. Leveraging gameplay data can aid in data collection, decision-making modelling, and improving serious game design.
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    A review of climate change impact assessment and methodologies for urban sewer networks
    (Elsevier B V, 2025-06) Karimi AM; Jelodar MB; Susnjak T; Sutrisna M
    Understanding how climate change affects urban sewer networks is essential for the sustainable management of these infrastructures. This research uses a systematic literature review (PRISMA) to critically review methodologies to assess the effects of climate change on these systems. A scientometric analysis traced the evolution of research patterns, while content analysis identified three primary research clusters: Climate Modelling, Flow Modelling, and Risk and Vulnerability Assessment. These clusters, although rooted in distinct disciplines, form an interconnected framework, where outputs of climate models inform flow models, and overflow data from flow models contribute to risk assessments, which are gaining increasing attention in recent studies. To enhance risk assessments, methods like Gumbel Copula, Monte Carlo simulations, and fuzzy logic help quantify uncertainties. By integrating these uncertainties with a Bayesian Network, which can incorporate expert opinion, failure probabilities are modelled based on variable interactions, improving prediction. The study also emphasises the importance of factors, such as urbanisation, asset deterioration, and adaptation programs in order to improve predictive accuracy. Additionally, the findings reveal the need to consider cascading effects from landslides and climate hazards in future risk assessments. This research provides a reference for methodology selection, promoting innovative and sustainable urban sewer management.