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Articles, UC QuakeStudies

Caption reads: "It used to be lovely. We would go out walking all the time and we always went through the wetlands. There was all the beautiful flax and bushes that were around the track, and now it’s gone. All gone."

Images, UC QuakeStudies

A photograph of wrapped up mattresses and boxes of tracksuits from the Red Cross in Cowles Stadium. The stadium served as temporary accommodation for refugees from the 4 September earthquake. These mattresses and tracksuits were given to people whose belongings were destroyed or unreachable.

Images, UC QuakeStudies

A photograph looking south down New Regent Street from the intersection of Armagh Street. Scaffolding is holding up the facades of buildings on the left hand side, and there has been considerable damage to the paving along the tram tracks.

Images, UC QuakeStudies

Surveyors marking out Kirkwood Village, used as temporary teaching and office space for the University of Canterbury. The photographer comments, "The University restarts its teaching, and the techies in e-learning move out of NZi3. Surveyors mark out the temporary staff office buildings on the running track".

Articles, UC QuakeStudies

A PDF copy of the map created for AWA Trails. It shows each of the four trails, the location of each of the twenty five spots to discover and the expected time to walk each track. The maps were available to download from the All Right? website.

Research papers, The University of Auckland Library

Critical infrastructure networks are highly relied on by society such that any disruption to service can have major social and economic implications. Furthermore, these networks are becoming increasingly dependent on each other for normal operation such that an outage or asset failure in one system can easily propagate and cascade across others resulting in widespread disruptions in terms of both magnitude and spatial reach. It is the vulnerability of these networks to disruptions and the corresponding complexities in recovery processes which provide direction to this research. This thesis comprises studies contributing to two areas (i) the modelling of national scale in-terdependent infrastructure systems undergoing major disruptions, and (ii) the tracking and quantification of infrastructure network recovery trajectories following major disruptions. Firstly, methods are presented for identifying nationally significant systemic vulnerabilities and incorporating expert knowledge into the quantification of infrastructure interdependency mod-elling and simulation. With application to the interdependent infrastructures networks across New Zealand, the magnitudes and spatial extents of disruption are investigated. Results high-light the importance in considering interdependencies when assessing disruptive risks and vul-nerabilities in disaster planning applications and prioritising investment decisions for enhancing resilience of national networks. Infrastructure dependencies are further studied in the context of recovery from major disruptions through the analysis of curves measuring network functionality over time. Continued studies into the properties of recovery curves across a database of global natural disasters produce statistical models for predicting the trajectory and expected recovery times. Finally, the use of connectivity based metrics for quantifying infrastructure system functionality during recovery are considered with a case study application to the Christchurch Earthquake (February 22, 2011) wastewater network response.