Journal Articles

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

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    C-DREEM: A framework for estimating the cost of earthquake-damaged buildings – A New Zealand study
    (2025-09-01) Kahandawa Appuhamillage R; Domingo N; Chawynski G; Uma SR
    Natural hazards created by earthquakes require an accurate post-earthquake cost estimation mechanism on the road to recovery. However, there are no identifiable accurate post-earthquake cost estimation mechanisms. This has led to major deviations between the initial and final construction costs. For example, the estimated cost of repair of the 2010–2011 Canterbury earthquake sequence changed from 41 billion NZD to $53 billion NZD (adjusted for inflation). Previous research identified eleven factors that specifically impact post-earthquake cost estimation. The recognisable literature was unable to identify a post-earthquake cost estimation model that considers these factors. Therefore, this research aims to fill this gap by developing and validating the cost of damage repair (including refurbishment) and the Earthquake Estimation Model (C-DREEM) framework. The C-DREEM framework was developed based on previous literature and inputs from a development team that included eleven industry professionals. The developed framework was then verified through a focus group interview consisting of nine professionals. The research developed and verified a framework for cost estimation for earthquake damage repair work, C-DREEM, that impacts earthquake damage repair work. C-DREEM incorporates the factors affecting post-earthquake cost estimation and improves the speed and accuracy of post-earthquake cost estimations for damage repair work.
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    When the earth doesn't stop shaking: How experiences over time influenced information needs, communication, and interpretation of aftershock information during the Canterbury Earthquake Sequence, New Zealand
    (Elsevier, 1/03/2019) Becker JS; Potter SH; McBride SK; Wein A; Doyle EEH; Paton D
    © 2018 The Authors The Canterbury Earthquake Sequence (CES) began with the Darfield earthquake on 4 September 2010. Continual large and small aftershocks since that time have meant communities have cycled through repeated periods of impact, response and recovery. Scientific communication about aftershocks during such a prolonged sequence has faced distinct challenges. We conducted research to better understand aftershock information needs for agencies and the public, and how people interpreted and responded to such information. We found that a wide range of information was needed from basic facts about aftershocks through to more technical information, and in different formats (e.g. maps, tables, graphs, text, analogies). Information needs also evolved throughout the sequence, and differed depending on people's roles and experiences, and the phase of impact, response and recovery communities were in. Interpretation of aftershock information was influenced by a variety of factors including how understandable and relevant the information was, whether people had prior knowledge or experience of aftershocks, whether the information was personalised or contextualised, emotions and feelings, credibility and trust, and external influences. Given that such a diversity of evolving information is required, it is imperative that geoscientists strategize how to provide such information before a significant earthquake occurs.
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    Earthquake damage estimation systems: Literature review
    (Elsevier, 27/11/2017) Kahandawa R; Domingo ND; Park K; Uma SR
    Earthquake is an unpredictable phenomenon that creates a vast amount of damages to its affected communities. To decrease the effects of such hazards, frameworks like building resilience have emerged. These frameworks target on increasing recovery after such disaster, by introducing new designs, technologies, and components to the building. To calculate the value of such improvements, use of loss estimation systems are essential. This paper compares and contrasts two most widely adopted loss assessment tools available, namely PACT and SLAT. Comparison of these tools mainly focuses on the consequence functions of the two methods. Recommendations are suggested to improve and complement these tools in future use.
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    Travelling an uncharted land.
    (2012-09) Johal S