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Images, Canterbury Museum

One expandable oblong brown fabric bag produced by Christchurch church group Rechurch; black and green writing on the front and back. Used to deliver lunch to Student Volunteer Army clean up parties after the 4 September 2010 earthquake. This reusable fabric bag from the church group Rechurch, Christchurch was used to deliver lunches to the stu...

Images, Canterbury Museum

One cream-coloured jute shoulder bag made for the participants in the TEDxEQChCh event held on 21 May 2011 with the theme 'The Re-Imagination of Christchurch'; decorative brown stitching and a brown fabric strip runs across the front flap which lifts up from its Velcro attachment to reveal the inside pocket; on the front of the inside pocket is ...

Videos, UC QuakeStudies

A video about the Student Volunteer Army delivering chemical toilets and building sandbag walls in Avondale after the 22 February 2011 earthquake. The sandbag walls are being built along the banks of the Avon River to prevent flooding caused by land subsidence.

Images, UC QuakeStudies

Alan Hoskin, a member of the University of Canterbury's E-Learning team, in their temporary office in the James Hight building. The photographer comments, "First looks at our new temporary (maybe) office space. Our group will stay here until April or May 2011, then will move to another floor in the Central Library. Bean bag. Alan wanted the beanbag but Jess said no".

Images, UC QuakeStudies

A road cone on the side of Kingsford Street in the Horseshoe Lake district. The cone has been decorated to look like Santa Claus. The photograph has been captioned by BeckerFraserPhotos, "This cone looks jaunty with a particularly flirtatious swing to its skirt, which provides a nice contrast to the sand-bagged road sign".

Images, Alexander Turnbull Library

The South Island is depicted as a punch bag which is reeling with the punishment inflicted after having been practised on by 'blizzards', 'earthquakes', 'disasters' and now 'drought'. Context; the Christchurch earthquake of 4 October and the Pike River Mine disaster of 19 November as well as some fairly extreme weather. Quantity: 1 digital cartoon(s).

Images, Alexander Turnbull Library

A small boy is being a real entrepreneur after the Christchurch earthquake of 22 February 2011 and has set up a road-side stall from which you can buy a bag of 'real leakyfakshun'. Behind him is a pile of liquefaction and a spade with which he can fill bags. Context - the Christchurch earthquake of 22 February has caused vastly more liquefaction than the original 4th September earthquake. The vibrations from the quake cause liquefaction which is where the soil loses strength and stiffness, and behaves more like a liquid than a solid - rather like wet sand. Colour and black and white versions available Quantity: 2 digital cartoon(s).

Research papers, The University of Auckland Library

The rapid classification of building damage states or placards after an earthquake is vital for enabling an efficient emergency response and informed decision-making for rehabilitation and recovery purposes. Traditional methods rely heavily on inspector-led on-site surveys, which are often time-consuming, resource-intensive, and susceptible to human error. This study introduces a machine learning-supported surrogate model designed to streamline the assessment of building damage, focusing on the automated assignment of damage placards within the context of New Zealand's post-earthquake evaluation frameworks. The study evaluates two key safety evaluation protocols—Rapid Building Assessment (RBA) and Detailed Damage Evaluation (DDE)—and integrates corresponding databases derived from the 2010–2011 Canterbury Earthquake Sequence (CES) in Christchurch. Six ML classifiers—Multilayer Perceptron (MLP), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Gradient Boosting Classifier (GBC), and Gradient Bagging (GBag)—were rigorously tested across both databases. The results indicate that the RF-based surrogate model outperforms the other classifiers across both RBA and DDE protocols. Two distinct sets of critical predictors have been further identified for each protocol, allowing for the rapid retrieval of essential data for future on-site surveys, while retaining the RF model's predictive accuracy. The developed surrogate model provides a pragmatic tool for practising engineers to rapidly assign placards to damaged structures and for policymakers and building owners to make informed recovery decisions for earthquake-affected buildings.