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Images, UC QuakeStudies

Members of the University of Canterbury's Digital Media Group in their temporary office in KB02 in Kirkwood Village, the complex of prefabs set up after the earthquakes to provide temporary office and classroom space for the university. The photographer comments, "The e-learning group and the video conferencing team are now located in the Kirkwood Village at the University of Canterbury. It's a very impressive project, about 60 buildings arranged in various configurations with some used for teaching or computer labs, and others as staff offices. We will probably stay here for several years now. Looking along the south wall, Herbert Thomas and Susan Tull already settled in and working".

Images, UC QuakeStudies

Members of the University of Canterbury's Digital Media Group in their temporary office in KB02 in Kirkwood Village, the complex of prefabs set up after the earthquakes to provide temporary office and classroom space for the university. The photographer comments, "The e-learning group and the video conferencing team are now located in the Kirkwood Village at the University of Canterbury. It's a very impressive project, about 60 buildings arranged in various configurations with some used for teaching or computer labs, and others as staff offices. We will probably stay here for several years now. Nikki Saunders, Lei Zhang (on the far wall), Nathan Gardiner and Blair - unpacking and settling in".

Research papers, University of Canterbury Library

Developing a holistic understanding of social, cultural, and economic impacts of disasters can help in building disaster risk knowledge for policy making and planning. Many methods can help in developing an understanding of the impacts of a disaster, including interviews and surveys with people who have experienced disaster, which may be invasive at times and create stress for the participants to relive their experiences. In the past decade, social media, blog posts, video blogs (i.e. “vlogs”), and crowdsourcing mechanisms such as Humanitarian OpenStreetMap and Ushahidi, have become prominent platforms for people to share their experiences and impacts of an event from the ground. These platforms allow for the discovery of a range of impact information, from physical impacts, to social, cultural, and psychological impacts. It can also reveal interesting behavioural information such as their decision to heed a warning or not, as people tend to share their experiences and their reactions online. This information can help researchers and authorities understand both the impacts as well as behavioural responses to hazards, which can then shape how early warning systems are designed and delivered. It can also help to identify gaps in desired behavioural responses. This poster presents a selection of cases identified from the literature and grey literature, such as the Haiti earthquake, the Christchurch earthquake, Hurricane Sandy, and Hurricane Harvey, where online platforms were widely used during and after a disaster to document impacts, experiences, and behavioural responses. A summary of key learnings and areas for future research is provided.

Research papers, University of Canterbury Library

The 14 November 2016 Kaikōura earthquake had major impacts on New Zealand's transport system. Road, rail and port infrastructure was damaged, creating substantial disruption for transport operators, residents, tourists, and business owners in the Canterbury, Marlborough and Wellington regions, with knock-on consequences elsewhere. During both the response and recovery phases, a large amount of information and data relating to the transport system was generated, managed, analysed, and exchanged within and between organisations to assist decision making. To improve information and data exchanges and related decision making in the transport sector during future events and guide new resilience strategies, we present key findings from a recent post-earthquake assessment. The research involved 35 different stakeholder groups and was conducted for the Ministry of Transport. We consider what transport information was available, its usefulness, where it was sourced from, mechanisms for data transfer between organisations, and suggested approaches for continued monitoring.

Research papers, University of Canterbury Library

This report contributes to a collaborative project between the Marlborough District Council (MDC) and University of Canterbury (UC) which aims to help protect and promote the recovery of native dune systems on the Marlborough coast. It is centred around the mapping of dune vegetation and identification of dune protection zones for old-growth seed sources of the native sand-binders spinifex (Spinifex sericeus) and pīngao (Ficinia spiralis). Both are key habitat-formers associated with nationally threatened dune ecosystems, and pīngao is an important weaving resource and Ngāi Tahu taonga species. The primary goal is to protect existing seed sources that are vital for natural regeneration following major disturbances such as the earthquake event. Several additional protection zones are also identified for areas where new dunes are successfully regenerating, including areas being actively restored in the Beach Aid project that is assisting new native dunes to become established where there is available space.

Images, UC QuakeStudies

Members of the University of Canterbury's Digital Media Group in their temporary office in KB02 in Kirkwood Village, the complex of prefabs set up after the earthquakes to provide temporary office and classroom space for the university. The photographer comments, "The e-learning group and the video conferencing team are now located in the Kirkwood Village at the University of Canterbury. It's a very impressive project, about 60 buildings arranged in various configurations with some used for teaching or computer labs, and others as staff offices. We will probably stay here for several years now. Nick Calvert from the video-conferencing team, Blair and Paul Nicholls behind. Nathan Gardiner with his head in a box".

Research papers, University of Canterbury Library

Background This study examines the performance of site response analysis via nonlinear total-stress 1D wave-propagation for modelling site effects in physics-based ground motion simulations of the 2010-2011 Canterbury, New Zealand earthquake sequence. This approach allows for explicit modeling of 3D ground motion phenomena at the regional scale, as well as detailed nonlinear site effects at the local scale. The approach is compared to a more commonly used empirical VS30 (30 m time-averaged shear wave velocity)-based method for computing site amplification as proposed by Graves and Pitarka (2010, 2015), and to empirical ground motion prediction via a ground motion model (GMM).

Images, UC QuakeStudies

Members of the University of Canterbury's Digital Media Group in their temporary office in KB02 in Kirkwood Village, the complex of prefabs set up after the earthquakes to provide temporary office and classroom space for the university. The photographer comments, "The e-learning group and the video conferencing team are now located in the Kirkwood Village at the University of Canterbury. It's a very impressive project, about 60 buildings arranged in various configurations with some used for teaching or computer labs, and others as staff offices. We will probably stay here for several years now. Looking back along the centre area from the doors. The e-learning advisers and Herbert Thomas, our team leader, sit along the south wall".

Research papers, University of Canterbury Library

Natural catastrophes are increasing worldwide. They are becoming more frequent but also more severe and impactful on our built environment leading to extensive damage and losses. Earthquake events account for the smallest part of natural events; nevertheless seismic damage led to the most fatalities and significant losses over the period 1981-2016 (Munich Re). Damage prediction is helpful for emergency management and the development of earthquake risk mitigation projects. Recent design efforts focused on the application of performance-based design engineering where damage estimation methodologies use fragility and vulnerability functions. However, the approach does not explicitly specify the essential criteria leading to economic losses. There is thus a need for an improved methodology that finds the critical building elements related to significant losses. The here presented methodology uses data science techniques to identify key building features that contribute to the bulk of losses. It uses empirical data collected on site during earthquake reconnaissance mission to train a machine learning model that can further be used for the estimation of building damage post-earthquake. The first model is developed for Christchurch. Empirical building damage data from the 2010-2011 earthquake events is analysed to find the building features that contributed the most to damage. Once processed, the data is used to train a machine-learning model that can be applied to estimate losses in future earthquake events.

Images, UC QuakeStudies

Furniture and equipment packed up ready for the University of Canterbury's E-Learning team's move to 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. Waiting for the truck. An empty office, before the removal truck arrived".

Images, eqnz.chch.2010

I am going away for a short time for a holiday and well get back to you all when I get home. Demotion of the Victoria Sq apartments on a walk around the city Feb 26, 2014 Christchurch New Zealand. www...

Research papers, Lincoln University

Imagined landscapes find their form in utopian dreaming. As ideal places, utopias are set up according to the ideals of their designers. Inevitably, utopias become compromised when they move from the imaginary into the actual. Opportunities to create utopias rely largely on a blank slate, a landscape unimpeded by the inconveniences of existing occupation – or even topography. Christchurch has seen two utopian moments. The first was at the time of European settlement in the mid-nineteenth century, when imported ideals provided a model for a new city. The earthquakes of 2010 and 2011 provided a second point at which utopian dreaming spurred visions for the city. Christchurch’s earthquakes have provided a unique opportunity for a city to re-imagine itself. Yet, as is the fate for all imaginary places, reality got in the way.

Research papers, Lincoln University

Numerous rockfalls released during the 2010–2011 Canterbury earthquake sequence affected vital road sections for local commuters. We quantified rockfall fatality risk on two main routes by adapting a risk approach for roads originally developed for snow avalanche risk. We present results of the collective and individual fatality risks for traffic flow and waiting traffic. Waiting traffic scenarios particularly address the critical spatial-temporal dynamics of risk, which should be acknowledged in operational risk management. Comparing our results with other risks commonly experienced in New Zealand indicates that local rockfall risk is close to tolerability thresholds and likely exceeds acceptable risk.

Research papers, University of Canterbury Library

Semi-empirical models based on in-situ geotechnical tests have become the standard of practice for predicting soil liquefaction. Since the inception of the “simplified” cyclic-stress model in 1971, variants based on various in-situ tests have been developed, including the Cone Penetration Test (CPT). More recently, prediction models based soley on remotely-sensed data were developed. Similar to systems that provide automated content on earthquake impacts, these “geospatial” models aim to predict liquefaction for rapid response and loss estimation using readily-available data. This data includes (i) common ground-motion intensity measures (e.g., PGA), which can either be provided in near-real-time following an earthquake, or predicted for a future event; and (ii) geospatial parameters derived from digital elevation models, which are used to infer characteristics of the subsurface relevent to liquefaction. However, the predictive capabilities of geospatial and geotechnical models have not been directly compared, which could elucidate techniques for improving the geospatial models, and which would provide a baseline for measuring improvements. Accordingly, this study assesses the realtive efficacy of liquefaction models based on geospatial vs. CPT data using 9,908 case-studies from the 2010-2016 Canterbury earthquakes. While the top-performing models are CPT-based, the geospatial models perform relatively well given their simplicity and low cost. Although further research is needed (e.g., to improve upon the performance of current models), the findings of this study suggest that geospatial models have the potential to provide valuable first-order predictions of liquefaction occurence and consequence. Towards this end, performance assessments of geospatial vs. geotechnical models are ongoing for more than 20 additional global earthquakes.

Research papers, University of Canterbury Library

Motivation This poster aims to present fragility functions for pipelines buried in liquefaction-prone soils. Existing fragility models used to quantify losses can be based on old data or use complex metrics. Addressing these issues, the proposed functions are based on the Christchurch network and soil and utilizes the Canterbury earthquake sequence (CES) data, partially represented in Figure 1. Figure 1 (a) presents the pipe failure dataset, which describes the date, location and pipe on which failures occurred. Figure 1 (b) shows the simulated ground motion intensity median of the 22nd February 2011 earthquake. To develop the model, the network and soil characteristics have also been utilized.

Research papers, University of Canterbury Library

Overview of SeisFinder SeisFinder is an open-source web service developed by QuakeCoRE and the University of Canterbury, focused on enabling the extraction of output data from computationally intensive earthquake resilience calculations. Currently, SeisFinder allows users to select historical or future events and retrieve ground motion simulation outputs for requested geographical locations. This data can be used as input for other resilience calculations, such as dynamic response history analysis. SeisFinder was developed using Django, a high-level python web framework, and uses a postgreSQL database. Because our large-scale computationally-intensive numerical ground motion simulations produce big data, the actual data is stored in file systems, while the metadata is stored in the database. The basic SeisFinder architecture is shown in Figure 1.

Research papers, University of Canterbury Library

Disasters are rare events with major consequences; yet comparatively little is known about managing employee needs in disaster situations. Based on case studies of four organisations following the devastating earthquakes of 2010 - 2011 in Christchurch, New Zealand, this paper presents a framework using redefined notions of employee needs and expectations, and charting the ways in which these influence organisational recovery and performance. Analysis of in-depth interview data from 47 respondents in four organisations highlighted the evolving nature of employee needs and the crucial role of middle management leadership in mitigating the effects of disasters. The findings have counterintuitive implications for human resource functions in a disaster, suggesting that organisational justice forms a central framework for managing organisational responses to support and engage employees for promoting business recovery.

Images, UC QuakeStudies

Paul Nicholls, a member of the University of Canterbury's E-Learning team, in their temporary office in KB02 in Kirkwood Village, the complex of prefabs set up after the earthquakes to provide temporary office and classroom space for the university. The photographer comments, "The e-learning group and the video conferencing team are now located in the Kirkwood Village at the University of Canterbury. It's a very impressive project, about 60 buildings arranged in various configurations with some used for teaching or computer labs, and others as staff offices. We will probably stay here for several years now. Closer view of our corner of the building. We will have some cubicle partitions soon, but I don't know how we'll configure the space then. It's quite nice being so open, but it may be too noisy".

Research papers, University of Canterbury Library

Introduction In 2011 Christchurch city centre was partially destroyed by an earthquake. Government-led anchor projects were tasked with bringing Christchurch back from rubble. After a period of 7 years out of 16 proposed projects, 10 are already over time for their initial completion dates and the ones completed, are under scrutiny for failing to deliver their expected outcome.

Images, UC QuakeStudies

Furniture and equipment packed up ready for the University of Canterbury's E-Learning team's move to 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. Waiting for the movers. Our office is packed into orange crates, everything is labelled, where are the movers?".