A photograph of a "track closed" sign and cordon fence blocking off the start of the Bridle Path in Heathcote.
A photograph of street art on the old railway goods B Shed near the Colombo Street overbridge.The photographer attributes the work to Fat and Draped Up.
Scaffolding and bracing on stores in New Regent Street. Plywood has been used to cover up the damaged windows. In front, the paving around the tram tracks has separated in places and liquefaction can be seen.
Uneven paving along the tram tracks on New Regent Street. USAR codes have been spray-painted on the buildings behind. Many have scaffolding holding up their awnings and on their front walls.
A photograph of a tag on a wall made of concrete blocks. The wall is near the railway tracks which run under the Durham Street over bridge. The tag reads, "JFK".
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".
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.