Journal Articles

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

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Start date: 2020Subject: search.filters.subject.Earthquakes

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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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    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.