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Images, UC QuakeStudies

A photograph of emergency management personnel at a temporary Civil Defence headquarters in Christchurch after the 4 September 2010 earthquake. The headquarters was set up in the Christchurch Art Gallery.

Images, UC QuakeStudies

A photograph of volunteers from the Wellington Emergency Management Office in Wellington Airport. The volunteers travelled to Christchurch after the 22 February 2011 earthquake to help with the emergency response.

Images, UC QuakeStudies

A photograph of a Kea campervan parked among others in Hagley Park. The campervan served as temporary accommodation for emergency management personnel who travelled to Christchurch after the 22 February 2011 earthquake.

Research papers, University of Canterbury Library

The increase of the world's population located near areas prone to natural disasters has given rise to new ‘mega risks’; the rebuild after disasters will test the governments’ capabilities to provide appropriate responses to protect the people and businesses. During the aftermath of the Christchurch earthquakes (2010-2012) that destroyed much of the inner city, the government of New Zealand set up a new partnership between the public and private sector to rebuild the city’s infrastructure. The new alliance, called SCIRT, used traditional risk management methods in the many construction projects. And, in hindsight, this was seen as one of the causes for some of the unanticipated problems. This study investigated the risk management practices in the post-disaster recovery to produce a specific risk management model that can be used effectively during future post-disaster situations. The aim was to develop a risk management guideline for more integrated risk management and fill the gap that arises when the traditional risk management framework is used in post-disaster situations. The study used the SCIRT alliance as a case study. The findings of the study are based on time and financial data from 100 rebuild projects, and from surveying and interviewing risk management professionals connected to the infrastructure recovery programme. The study focussed on post-disaster risk management in construction as a whole. It took into consideration the changes that happened to the people, the work and the environment due to the disaster. System thinking, and system dynamics techniques have been used due to the complexity of the recovery and to minimise the effect of unforeseen consequences. Based on an extensive literature review, the following methods were used to produce the model. The analytical hierarchical process and the relative importance index have been used to identify the critical risks inside the recovery project. System theory methods and quantitative graph theory have been used to investigate the dynamics of risks between the different management levels. Qualitative comparative analysis has been used to explore the critical success factors. And finally, causal loop diagrams combined with the grounded theory approach has been used to develop the model itself. The study identified that inexperienced staff, low management competency, poor communication, scope uncertainty, and non-alignment of the timing of strategic decisions with schedule demands, were the key risk factors in recovery projects. Among the critical risk groups, it was found that at a strategic management level, financial risks attracted the highest level of interest, as the client needs to secure funding. At both alliance-management and alliance-execution levels, the safety and environmental risks were given top priority due to a combination of high levels of emotional, reputational and media stresses. Risks arising from a lack of resources combined with the high volume of work and the concern that the cost could go out of control, alongside the aforementioned funding issues encouraged the client to create the recovery alliance model with large reputable construction organisations to lock in the recovery cost, at a time when the scope was still uncertain. This study found that building trust between all parties, clearer communication and a constant interactive flow of information, established a more working environment. Competent and clear allocation of risk management responsibilities, cultural shift, risk prioritisation, and staff training were crucial factors. Finally, the post-disaster risk management (PDRM) model can be described as an integrated risk management model that considers how the changes which happened to the environment, the people and their work, caused them to think differently to ease the complexity of the recovery projects. The model should be used as a guideline for recovery systems, especially after an earthquake, looking in detail at all the attributes and the concepts, which influence the risk management for more effective PDRM. The PDRM model is represented in Causal Loops Diagrams (CLD) in Figure 8.31 and based on 10 principles (Figure 8.32) and 26 concepts (Table 8.1) with its attributes.

Research Papers, Lincoln University

There is growing expectation that local volunteers will play a more integrated role in disaster response, yet emergent groups are often ‘outsiders’ to crisis management, prompting questions of the conditions and processes by which these groups can forge relationships with established response agencies, and the tensions which can arise those interactions. This article analyses how student-led volunteers, as an emergent group, nevertheless gained “authority to operate” in the aftermath of the 2010-2011 earthquakes in Canterbury, New Zealand. Our study demonstrates how established response agencies and emergent groups can form hugely impactful and mutually supportive relationships. However, our analysis also points to two interrelated tensions that can arise, regarding the terms by which emergent groups are recognised, and the ‘distance’ considered necessary between emergent groups and established response agencies. The discussion considers implications for inclusiveness, risk and responsibility if emergent volunteers are to be further integrated into disaster response.

Research papers, University of Canterbury Library

The M7.8 Kaikoura Earthquake in 2016 presented a number of challenges to science agencies and institutions throughout New Zealand. The earthquake was complex, with 21 faults rupturing throughout the North Canterbury and Marlborough landscape, generating a localised seven metre tsunami and triggering thousands of landslides. With many areas isolated as a result, it presented science teams with logistical challenges as well as the need to coordinate efforts across institutional and disciplinary boundaries. Many research disciplines, from engineering and geophysics to social science, were heavily involved in the response. Coordinating these disciplines and institutions required significant effort to assist New Zealand during its most complex earthquake yet recorded. This paper explores that effort and acknowledges the successes and lessons learned by the teams involved.

Images, UC QuakeStudies

Emergency Management personnel outside the Christchurch Art Gallery. The Art Gallery was used as the headquarters for Civil Defence after the 22 February 2011 earthquake. In the background, the east end of the Arts Centre can be seen.

Images, UC QuakeStudies

A photograph of volunteers from the Wellington Emergency Management Office in a campervan in Hagley Park. The campervan was used as temporary accommodation for the volunteers after the 22 February 2011 earthquake.