Browsing by Author "Wotherspoon LM"

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    A new mapping tool to visualise critical infrastructure levels of service following a major earthquake
    (Elsevier B.V., 2024-01) Mowll R; Anderson MJ; Logan TM; Becker JS; Wotherspoon LM; Stewart C; Johnston D; Neely D
    How can emergency management teams communicate to potentially impacted communities what a major event causing infrastructure outages might mean for them, and what they can do to prepare? In this paper we describe the process of creating a webtool for end users to visualise infrastructure outages that the Wellington region of New Zealand would face following a rupture of the Wellington fault. This webtool creates insight for three key groups: critical infrastructure owners, communities, and the emergency management sector itself. Critical infrastructure entities can use the tool to understand where they might consider infrastructure upgrades to mitigate gaps of delivery following a fault rupture, and to consider their emergency response plans for delivery in an emergency (leading to their consideration of ‘planning emergency levels of service’). Communities can use the tool to understand what infrastructure outages will mean at the household level in an emergency, including the considerable distances that some community members will have to walk to access services such as food and water and prepare for prolonged outages. Finally, with a greater knowledge of the gaps in delivery and of those community members that might need assistance with food and water collection, the emergency management sector can be better prepared. The methodology for creating the webtool is described, along with the insights that the completed webtool provides for emergency planning.
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    ‘End to end’ linkage structure for integrated impact assessment of infrastructure networks under natural hazards
    (New Zealand National Society for Earthquake Engineering, 2021-06-01) Imtiaz SY; Uma SR; Prasanna R; Wotherspoon LM
    An infrastructure impact assessment process relies on the analysis of multiple types of models, the performance of individual infrastructure networks and the interdependencies between multiple infrastructure networks. Several models are developed for their specific purposes and there is a need to link these models for the assessment of natural hazard impacts on distributed infrastructures to deliver the desired outcomes on network functionality and disruption levels that are suitable to assess socio-economic impact. In this paper, an ‘end-to-end’ linkage structure is proposed to link different models by which various features, data standards, parameters and structures are linked in a transparent and consistent manner. The framework has adopted a dedicated knowledge discovery and data analysis process to acquire information around input and output parameters for each of these models developed by various researchers and used in risk assessment tools. The framework is illustrated by applying the step-by-step procedure towards integrated impact assessments of electricity, potable water and road networks and their interdependencies.