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Research papers, University of Canterbury Library

In September 2010 and February 2011, the Canterbury region experienced devastating earthquakes with an estimated economic cost of over NZ$40 billion (Parker and Steenkamp, 2012; Timar et al., 2014; Potter et al., 2015). The insurance market played an important role in rebuilding the Canterbury region after the earthquakes. Homeowners, insurance and reinsurance markets and New Zealand government agencies faced a difficult task to manage the rebuild process. From an empirical and theoretic research viewpoint, the Christchurch disaster calls for an assessment of how the insurance market deals with such disasters in the future. Previous studies have investigated market responses to losses in global catastrophes by focusing on the insurance supply-side. This study investigates both demand-side and supply-side insurance market responses to the Christchurch earthquakes. Despite the fact that New Zealand is prone to seismic activities, there are scant previous studies in the area of earthquake insurance. This study does offer a unique opportunity to examine and document the New Zealand insurance market response to catastrophe risk, providing results critical for understanding market responses after major loss events in general. A review of previous studies shows higher premiums suppress demand, but how higher premiums and a higher probability of risk affect demand is still largely unknown. According to previous studies, the supply of disaster coverage is curtailed unless the market is subsidised, however, there is still unsettled discussion on why demand decreases with time from the previous disaster even when the supply of coverage is subsidised by the government. Natural disaster risks pose a set of challenges for insurance market players because of substantial ambiguity associated with the probability of such events occurring and high spatial correlation of catastrophe losses. Private insurance market inefficiencies due to high premiums and spatially concentrated risks calls for government intervention in the provision of natural disaster insurance to avert situations of noninsurance and underinsurance. Political economy considerations make it more likely for government support to be called for if many people are uninsured than if few people are uninsured. However, emergency assistance for property owners after catastrophe events can encourage most property owners to not buy insurance against natural disaster and develop adverse selection behaviour, generating larger future risks for homeowners and governments. On the demand-side, this study has developed an intertemporal model to examine how demand for insurance changes post-catastrophe, and how to model it theoretically. In this intertemporal model, insurance can be sought in two sequential periods of time, and at the second period, it is known whether or not a loss event happened in period one. The results show that period one demand for insurance increases relative to the standard single period model when the second period is taken into consideration, period two insurance demand is higher post-loss, higher than both the period one demand and the period two demand without a period one loss. To investigate policyholders experience from the demand-side perspective, a total of 1600 survey questionnaires were administered, and responses from 254 participants received representing a 16 percent response rate. Survey data was gathered from four institutions in Canterbury and is probably not representative of the entire population. The results of the survey show that the change from full replacement value policy to nominated replacement value policy is a key determinant of the direction of change in the level of insurance coverage after the earthquakes. The earthquakes also highlighted the plight of those who were underinsured, prompting policyholders to update their insurance coverage to reflect the estimated cost of re-building their property. The survey has added further evidence to the existing literature, such as those who have had a recent experience with disaster loss report increased risk perception if a similar event happens in future with females reporting a higher risk perception than males. Of the demographic variables, only gender has a relationship with changes in household cover. On the supply-side, this study has built a risk-based pricing model suitable to generate a competitive premium rate for natural disaster insurance cover. Using illustrative data from the Christchurch Red-zone suburbs, the model generates competitive premium rates for catastrophe risk. When the proposed model incorporates the new RMS high-definition New Zealand Earthquake Model, for example, insurers can find the model useful to identify losses at a granular level so as to calculate the competitive premium. This study observes that the key to the success of the New Zealand dual insurance system despite the high prevalence of catastrophe losses are; firstly the EQC’s flat-rate pricing structure keeps private insurance premiums affordable and very high nationwide homeowner take-up rates of natural disaster insurance. Secondly, private insurers and the EQC have an elaborate reinsurance arrangement in place. By efficiently transferring risk to the reinsurer, the cost of writing primary insurance is considerably reduced ultimately expanding primary insurance capacity and supply of insurance coverage.

Research papers, University of Canterbury Library

We present preliminary observations on three waters impacts from the Mw7.8 14th November 2016 Kaikōura Earthquake on wider metropolitan Wellington, urban and rural Marlborough, and in Kaikōura township. Three waters systems in these areas experienced widespread and significant transient ground deformation in response to seismic shaking, with localised permanent ground deformation via liquefaction and lateral spreading. In Wellington, potable water quality was impacted temporarily by increased turbidity, and significant water losses occurred due to damaged pipes at the port. The Seaview and Porirua wastewater treatment plants sustained damage to clarifier tanks from water seiching, and increased water infiltration to the wastewater system occurred. Most failure modes in urban Marlborough were similar to the 2010-2011 Canterbury Earthquake Sequence; however some rural water tanks experienced rotational and translational movements, highlighting importance of flexible pipe connections. In Kaikōura, damage to reservoirs and pipes led to loss of water supply and compromised firefighting capability. Wastewater damage led to environmental contamination, and necessitated restrictions on greywater entry into the system to minimise flows. Damage to these systems necessitated the importation of tankered and bottled water, boil water notices and chlorination of the system, and importation of portaloos and chemical toilets. Stormwater infrastructure such as road drainage channels was also damaged, which could compromise condition of underlying road materials. Good operational asset management practices (current and accurate information, renewals, appreciation of criticality, good system knowledge and practical contingency plans) helped improve system resilience, and having robust emergency management centres and accurate Geographic Information System data allowed effective response coordination. Minimal damage to the wider built environment facilitated system inspections. Note Future research will include detailed geospatial assessments of seismic demand on these systems and attendant modes of failure, levels of service restoration, and collaborative development of resilience measures.

Research papers, Lincoln University

On September the 4th 2010 and February 22nd 2011 the Canterbury region of New Zealand was shaken by two massive earthquakes. This paper is set broadly within the civil defence and emergency management literature and informed by recent work on community participation and social capital in the building of resilient cities. Work in this area indicates a need to recognise both the formal institutional response to the earthquakes as well as the substantive role communities play in their own recovery. The range of factors that facilitate or hinder community involvement also needs to be better understood. This paper interrogates the assumption that recovery agencies and officials are both willing and able to engage communities who are themselves willing and able to be engaged in accordance with recovery best practice. Case studies of three community groups – CanCERN, Greening the Rubble and Gap Filler – illustrate some of the difficulties associated with becoming a community during the disaster recovery phase. Based on my own observations and experiences, combined with data from approximately 50 in-depth interviews with Christchurch residents and representatives from community groups, the Christchurch City Council, the Earthquake Commission and so on, this paper outlines some practical strategies emerging communities may use in the early disaster recovery phase that then strengthens their ability to ‘participate’ in the recovery process.

Research papers, University of Canterbury Library

Depending on their nature and severity, disasters can create large volumes of debris and waste. Waste volumes from a single event can be the equivalent of many times the annual waste generation rate of the affected community. These volumes can overwhelm existing solid waste management facilities and personnel. Mismanagement of disaster waste can affect both the response and long term recovery of a disaster affected area. Previous research into disaster waste management has been either context specific or event specific, making it difficult to transfer lessons from one disaster event to another. The aim of this research is to develop a systems understanding of disaster waste management and in turn develop context- and disaster-transferrable decision-making guidance for emergency and waste managers. To research this complex and multi-disciplinary problem, a multi-hazard, multi-context, multi-case study approach was adopted. The research focussed on five major disaster events: 2011 Christchurch earthquake, 2009 Victorian Bushfires, 2009 Samoan tsunami, 2009 L’Aquila earthquake and 2005 Hurricane Katrina. The first stage of the analysis involved the development of a set of ‘disaster & disaster waste’ impact indicators. The indicators demonstrate a method by which disaster managers, planners and researchers can simplify the very large spectra of possible disaster impacts, into some key decision-drivers which will likely influence post-disaster management requirements. The second stage of the research was to develop a set of criteria to represent the desirable environmental, economic, social and recovery effects of a successful disaster waste management system. These criteria were used to assess the effectiveness of the disaster waste management approaches for the case studies. The third stage of the research was the cross-case analysis. Six main elements of disaster waste management systems were identified and analysed. These were: strategic management, funding mechanisms, operational management, environmental and human health risk management, and legislation and regulation. Within each of these system elements, key decision-making guidance (linked to the ‘disaster & disaster waste’ indicators) and management principles were developed. The ‘disaster & disaster waste’ impact indicators, the effects assessment criteria and management principles have all been developed so that they can be practically applied to disaster waste management planning and response in the future.

Research papers, Victoria University of Wellington

This dissertation contains three essays on the impact of unexpected adverse events on student outcomes. All three attempt to identify causal inference using plausibly exogenous shocks and econometric tools, applied to rich administrative data.  In Chapter 2, I present evidence of the causal effects of the 2011 Christchurch earthquake on tertiary enrolment and completion. Using the shock of the 2011 earthquake on high school students in the Canterbury region, I estimate the effect of the earthquake on a range of outcomes including tertiary enrolment, degree completion and wages. I find the earthquake causes a substantial increase in tertiary enrolment, particularly for low ability high school leavers from damaged schools. However, I find no evidence that low ability students induced by the earthquake complete a degree on time.  In Chapter 3, I identify the impact of repeat disaster exposure on university performance, by comparing outcomes for students who experience their first earthquake while in university, to outcomes for students with prior earthquake exposure. Using a triple-differences estimation strategy with individual-by-year fixed effects, I identify a precise null effect, suggesting that previous experience of earthquakes is not predictive of response to an additional shock two years later.  The final chapter investigates the impact of injuries sustained in university on academic performance and wages, using administrative data including no-fault insurance claims, emergency department attendance and hospital admissions, linked with tertiary enrolment. I find injuries, including minor injuries, have a negative effect on re-enrolment, degree completion and grades in university.

Audio, Radio New Zealand

DAVID SHEARER to the Prime Minister: Does he stand by all his statements in relation to Kim Dotcom and the inquiry into the actions of the Government Communications Security Bureau? METIRIA TUREI to the Minister for Social Development: Does she have confidence that the Ministry of Social Development can keep private information it holds confidential? KATRINA SHANKS to the Minister of Finance: What are the main features of the Government's plan to build a more competitive economy based on more savings, higher exports and less debt? JACINDA ARDERN to the Minister for Social Development: Has the Ministry of Social Development competently managed the private information in its charge? Peseta SAM LOTU-IIGA to the Minister for Social Development: What children will the White Paper for Vulnerable Children be targeting? CHRIS HIPKINS to the Minister of Education: What specific criteria were used to determine whether a school in Christchurch was identified for restoration, consolidation or rejuvenation? Dr RUSSEL NORMAN to the Minister responsible for the GCSB: What were the dates of the three cases that the Government Communications Security Bureau audit highlighted, because they could not assure him "that the legal position is totally clear", as referred to in his statement of 3 October 2012? Rt Hon WINSTON PETERS to the Prime Minister: Does he stand by his answer to my Question for Written Answer 3326 (2012)? Hon LIANNE DALZIEL to the Minister of Civil Defence: Why did he reject the independent Civil Defence Emergency Management earthquake review's recommendation, which was made in response to the finding that duplication of control was "not only inefficient but put people and property at risk", and that "the same situation could arise in a number of different parts of New Zealand"? MIKE SABIN to the Minister of Veterans' Affairs: What is the Government doing to improve the support and recognition given to veterans? GRANT ROBERTSON to the Prime Minister: Does he have confidence in Hon John Banks; if so, why? NICKY WAGNER to the Minister responsible for the Earthquake Commission: What is the objective of the Government review of the EQC?

Research papers, University of Canterbury Library

Effective management of waste and debris generated by a disaster event is vital to ensure rapid and efficient response and recovery that supports disaster risk reduction (DRR). Disaster waste refers to any stream of debris that is created from a natural disaster that impacts the environment, infrastructure, and property. This waste can be problematic due to extensive volumes, environmental contamination and pollution, public health risks, and the disruption of response and recovery efforts. Due to the complexities in dealing with these diverse and voluminous materials, having disaster waste management (DWM) planning in place pre-event is crucial. In particular, coordinated, interagency plans that have been informed by estimates of waste volumes and types are vital to ensure management facilities, personnel, and recovery resources do not become overwhelmed. Globally, a priority when formulating DWM plans is the robust estimation of disaster waste stream types and volumes. This is a relatively under-researched area, despite the growing risk of natural disasters and increasingly inadequate waste management facilities. In Aotearoa New Zealand, a nation-wide DWM planning tool has been proposed for local government use, and waste amounts from events such as the Christchurch Earthquakes have been estimated. However, there has been little work undertaken to estimate waste types and volumes with a region-specific, multi-hazard focus, which is required to facilitate detailed regional DWM planning. This research provides estimates of potential disaster waste volumes and types in the Waitaha-Canterbury region of the South Island (Te Waipounamu) for three key hazard scenarios: a M8.0 Alpine Fault earthquake with a south-to-north rupture pattern, a far-sourced tsunami using a maximum credible event model for a Peru-sourced event, and major flooding using geospatial datasets taken from available local government modelling. Conducted in partnership with Environment Canterbury and Canterbury CDEM, this estimation work informed stakeholder engagement through multi-agency workshops at the district level. This research was comprised of two key parts. The first was enhancing and extending a disaster waste estimation model used in Wellington and applying it to the Canterbury region to quantify waste volumes and types. The second part was using this model and its estimates to inform engagement with stakeholders in multi-agency, district-level workshops in Kaikōura, Hurunui, and Waimakariri. In these workshops, the waste estimates were used to catalyse discussion around potential issues associated with the management of disaster waste. Regionally, model estimates showed that the earthquake scenario would generate the highest total volume of disaster waste (1.94 million m³), compared to the tsunami scenario (1.89 million m³) and the flood scenario (173,900 m³). Flood waste estimates are likely underrepresented due to limited flood modelling coverage, but still provide a valuable comparison. Whilst waste estimates differ significantly between districts, waste volumes were shown to be not solely dependent on building/population density. The district-level workshops showed that DWM challenges revolved around logistical constraints, public concerns, governance complexities, and environmental issues. Future work should further enhance this estimation model and apply it to other regions of Aotearoa New Zealand, to help develop a set of cohesive DWM plans for each region. The waste estimation model could also be adapted and applied internationally. The findings from this research provide a foundation for advancing DWM planning and stakeholder engagement in the Waitaha-Canterbury region. By offering region-specific waste estimates across multiple hazard scenarios, this work supports district councils and emergency managers in developing informed, proactive strategies for disaster preparedness and response. The insights gained from district-level workshops highlight key challenges that must be addressed in future planning. These outcomes contribute to a broader research agenda for DWM in Aotearoa New Zealand, and offer a framework adaptable to international contexts.

Research papers, University of Canterbury Library

Fine grained sediment deposition in urban environments during natural hazard events can impact critical infrastructure and properties (urban terrain) leading to reduced social and economic function and potentially adverse public health effects. Therefore, clean-up of the sediments is required to minimise impacts and restore social and economic functionality as soon as possible. The strategies employed to manage and coordinate the clean-up significantly influence the speed, cost and quality of the clean-up operation. Additionally, the physical properties of the fine grained sediment affects the clean-up, transport, storage and future usage of the sediment. The goals of the research are to assess the resources, time and cost required for fine grained sediment clean-up in an urban environment following a disaster and to determine how the geotechnical properties of sediment will affect urban clean-up strategies. The thesis focuses on the impact of fine grained sediment (<1 mm) deposition from three liquefaction events during the Canterbury earthquake sequence (2010-2011) on residential suburbs and transport networks in Christchurch. It also presents how geotechnical properties of the material may affect clean-up strategies and methods by presenting geotechnical analysis of tephra material from the North Island of New Zealand. Finally, lessons for disaster response planning and decision making for clean-up of sediment in urban environments are presented. A series of semi-structured interviews of key stakeholders supported by relevant academic literature and media reports were used to record the clean-up operation coordination and management and to make a preliminary qualification of the Christchurch liquefaction ejecta clean-up (costs breakdown, time, volume, resources, coordination, planning and priorities). Further analysis of the costs and resources involved for better accuracy was required and so the analysis of Christchurch City Council road management database (RAMM) was done. In order to make a transition from general fine sediment clean-up to specific types of fine disaster sediment clean-up, adequate information about the material properties is required as they will define how the material will be handled, transported and stored. Laboratory analysis of young volcanic tephra from the New Zealand’s North Island was performed to identify their geotechnical properties (density, granulometry, plasticity, composition and angle of repose). The major findings of this research were that emergency planning and the use of the coordinated incident management system (CIMS) system during the emergency were important to facilitate rapid clean-up tasking, management of resources and ultimately recovery from widespread and voluminous liquefaction ejecta deposition in eastern Christchurch. A total estimated cost of approximately $NZ 40 million was calculated for the Christchurch City clean-up following the 2010-2011 Canterbury earthquake sequence with a partial cost of $NZ 12 million for the Southern part of the city, where up to 33% (418 km) of the road network was impacted by liquefaction ejecta and required clearing of the material following the 22 February 2011 earthquake. Over 500,000 tonnes of ejecta has been stockpiled at Burwood landfill for all three liquefaction inducing earthquake events. The average cost per kilometre for the event clean-up was $NZ 5,500/km (4 September 2010), $NZ 11,650/km (22 February 2011) and $NZ 11,185/km (13 June 2011). The duration of clean-up time of residential properties and the road network was approximately two to three months for each of the three liquefaction ejecta events; despite events volumes and spatial distribution of ejecta. Interviews and quantitative analysis of RAMM data revealed that the experience and knowledge gained from the Darfield earthquake (4 September 2010) clean-up increased the efficiency of the following Christchurch earthquake induced liquefaction ejecta clean-up events. Density, particle size, particle shape, clay content and moisture content, are the important geotechnical properties that need to be considered when planning for a clean-up method that incorporates collection, transport and disposal or storage. The geotechnical properties for the tephra samples were analysed to increase preparedness and reaction response of potentially affected North Island cities from possible product from the active volcanoes in their region. The geotechnical results from this study show that volcanic tephra could be used in road or construction material but the properties would have to be further investigated for a New Zealand context. Using fresh volcanic material in road, building or flood control construction requires good understanding of the material properties and precaution during design and construction to extra care, but if well planned, it can be economically beneficial.

Audio, Radio New Zealand

PHIL TWYFORD to the Minister for Building and Construction: Does he agree with Mainfreight founder and Chairman Bruce Plested that housing is a “social disgrace”, that the market cannot sort out this problem, and that real leadership and intestinal fortitude is needed now? JONATHAN YOUNG to the Minister of Finance: What reports has he received on real after-tax wages rising in New Zealand? CHRIS HIPKINS to the Minister of Education: Will she apologise on behalf of the Government for the flawed handling of the Canterbury school mergers and closures after the 2011 earthquakes; if not, why not? ANDREW BAYLY to the Minister for Building and Construction: What progress has the Government made in improving the tenancy laws and guidance for dealing with the problem of methamphetamine testing and contamination? CARMEL SEPULONI to the Associate Minister for Social Housing: What motels has the Government purchased in response to the increased emergency housing demand, and how much has this cost? RON MARK to the Prime Minister: Does he stand by all his statements on the Clutha-Southland electorate office issue even if facts known to him make doing so extraordinarily difficult? MAUREEN PUGH to the Minister of Corrections: How is Budget 2017 investing in rehabilitation and reintegration outcomes for offenders? Hon DAVID PARKER to the Minister of Local Government: Does she agree with the Prime Minister’s answer yesterday that drinking-water contamination in Havelock North was “about local government performance and overseeing ratepayer-funded assets whose purpose is to deliver clean and healthy water to its local people. The extensive inquiry into that incident was warranted by widespread illness in the area ... it is about local body performance in overseeing their clean water system”? BRETT HUDSON to the Minister of Local Government: What recent announcements has she made regarding Wellington’s resilience to natural hazards? JULIE ANNE GENTER to the Minister of Transport: Will the Government start building rail to the airport sooner if Auckland hosts the next America’s Cup regatta or will Aucklanders still have to wait 30 years? STUART NASH to the Minister of Police: Does she have any concerns about any of the results of the New Zealand Police Workplace Survey 2017; if so, what in particular? ALASTAIR SCOTT to the Associate Minister of Education: What recent announcements has he made to improve school infrastructure in the Wairarapa?

Research papers, University of Canterbury Library

Printed as a proceedings on a USB.  Available to ISWA members at <a shape="rect" href="http://www.iswa.org">www.iswa.org</a> Disasters can create the equivalent of 20 years of waste in only a few days. Disaster waste can have direct impacts on public health and safety, and on the environment. The management of such waste has a great direct cost to society in terms of labor, equipment, processing, transport and disposal. Disaster waste management also has indirect costs, in the sense that slow management can slow down a recovery, greatly affecting the ability of commerce and industry to re-start. In addition, a disaster can lead to the disruption of normal solid waste management systems, or result in inappropriate management that leads to expensive environmental remediation. Finally, there are social impacts implicit in disaster waste management decisions because of psychological impact we expect when waste is not cleared quickly or is cleared too quickly. The paper gives an overview of the challenge of disaster waste management, examining issues of waste quantity and composition; waste treatment; environmental, economic, and social impacts; health and safety matters; and planning. Christchurch, New Zealand, and the broader region of Canterbury were impacted during this research by a series of shallow earthquakes. This has led to the largest natural disaster emergency in New Zealand’s history, and the management of approximately 8 million tons of building and infrastructure debris has become a major issue. The paper provides an overview of the status of disaster waste management in Christchurch as a case study. A key conclusion is the vital role of planning in effective disaster waste management. In spite of the frequency of disasters, in most countries the ratio of time spent on planning for disaster waste management to the time spent on normal waste management is extremely low. Disaster waste management also requires improved education or training of those involved in response efforts. All solid waste professionals have a role to play to respond to the challenges of disaster waste management.

Research papers, University of Canterbury Library

When researchers seek to understand community resilience, it often centres on individual agents and actors. They look at the traits individuals have in order to help recover from adverse events, as well as the decisionmaking processes required to plan and adapt. In Aotearoa New Zealand, Māori forms of organising can challenge these. This research was about uncovering Māori forms organising and practices in the context of resilience. The methodology I used was He Awa Whiria/Braided Rivers and storytelling analysis in kanohi ki te kanohi/semi-structured interviews to understand how Māori communities responded to and recovered from the 2010 Darfield (Canterbury), 2011 Ōtautahi/Christchurch, and 2016 Kaikōura earthquakes. Five themes emerged from the project: (i) the importance of marae as a powerful physical location, (ii) the value in building strong reciprocal connections and cultural relationships, (iii) the stronghold that kai/food has in helping to heal communities, (iv) the exchange and trading of resources, and (v) being practical when move forward after a disaster event. As a non-Māori researcher, I have been an outsider to te Ao Māori and to Aotearoa. In using this blended methodology, it became apparent that there are many socio-cultural and historical contentions from the effects of colonisation, assimilation, to grappling with Western norms. Notably, the findings pointed to more similarities than differences, such as taking care of family and communities, being community-driven, and ways of coping with adverse events. This revealed that there are similar ways of doing things regardless of having different customs. This research makes several contributions. It contributes to the field of management studies by addressing gaps in how the concept of resilience is viewed from a practical Māori perspective. The research presents emergency management professionals with similar blended and practical strategies to co-design approaches for collaborative readiness, response, and recovery plans and programmes. The study further demonstrates the localised and tangible benefits that can be gained from utilising a blended methodology and storying method. Ultimately, the purpose of the thesis was to start bridging the gap between agencies and communities, to shift to more Indigenous-led approaches, integrating local Indigenous practices and knowledges that lead to more prepared communities in managing, responding to, and recovering from earthquake hazard events.

Research papers, University of Canterbury Library

Sewerage systems convey sewage, or wastewater, from residential or commercial buildings through complex reticulation networks to treatment plants. During seismic events both transient ground motion and permanent ground deformation can induce physical damage to sewerage system components, limiting or impeding the operability of the whole system. The malfunction of municipal sewerage systems can result in the pollution of nearby waterways through discharge of untreated sewage, pose a public health threat by preventing the use of appropriate sanitation facilities, and cause serious inconvenience for rescuers and residents. Christchurch, the second largest city in New Zealand, was seriously affected by the Canterbury Earthquake Sequence (CES) in 2010-2011. The CES imposed widespread damage to the Christchurch sewerage system (CSS), causing a significant loss of functionality and serviceability to the system. The Christchurch City Council (CCC) relied heavily on temporary sewerage services for several months following the CES. The temporary services were supported by use of chemical and portable toilets to supplement the damaged wastewater system. The rebuild delivery agency -Stronger Christchurch Infrastructure Rebuild Team (SCIRT) was created to be responsible for repair of 85 % of the damaged horizontal infrastructure (i.e., water, wastewater, stormwater systems, and roads) in Christchurch. Numerous initiatives to create platforms/tools aiming to, on the one hand, support the understanding, management and mitigation of seismic risk for infrastructure prior to disasters, and on the other hand, to support the decision-making for post-disaster reconstruction and recovery, have been promoted worldwide. Despite this, the CES in New Zealand highlighted that none of the existing platforms/tools are either accessible and/or readable or usable by emergency managers and decision makers for restoring the CSS. Furthermore, the majority of existing tools have a sole focus on the engineering perspective, while the holistic process of formulating recovery decisions is based on system-wide approach, where a variety of factors in addition to technical considerations are involved. Lastly, there is a paucity of studies focused on the tools and frameworks for supporting decision-making specifically on sewerage system restoration after earthquakes. This thesis develops a decision support framework for sewerage pipe and system restoration after earthquakes, building on the experience and learning of the organisations involved in recovering the CSS following the CES in 2010-2011. The proposed decision support framework includes three modules: 1) Physical Damage Module (PDM); 2) Functional Impact Module (FIM); 3) Pipeline Restoration Module (PRM). The PDM provides seismic fragility matrices and functions for sewer gravity and pressure pipelines for predicting earthquake-induced physical damage, categorised by pipe materials and liquefaction zones. The FIM demonstrates a set of performance indicators that are categorised in five domains: structural, hydraulic, environmental, social and economic domains. These performance indicators are used to assess loss of wastewater system service and the induced functional impacts in three different phases: emergency response, short-term recovery and long-term restoration. Based on the knowledge of the physical and functional status-quo of the sewerage systems post-earthquake captured through the PDM and FIM, the PRM estimates restoration time of sewer networks by use of restoration models developed using a Random Forest technique and graphically represented in terms of restoration curves. The development of a decision support framework for sewer recovery after earthquakes enables decision makers to assess physical damage, evaluate functional impacts relating to hydraulic, environmental, structural, economic and social contexts, and to predict restoration time of sewerage systems. Furthermore, the decision support framework can be potentially employed to underpin system maintenance and upgrade by guiding system rehabilitation and to monitor system behaviours during business-as-usual time. In conjunction with expert judgement and best practices, this framework can be moreover applied to assist asset managers in targeting the inclusion of system resilience as part of asset maintenance programmes.

Audio, Radio New Zealand

Hon PHIL HEATLEY to the Minister of Finance: What reports has he received on the economy – and especially on further signs of economic momentum in the regions and among manufacturers? Dr RUSSEL NORMAN to the Minister of Finance: How much did the Government's share sales in Mighty River Power, Meridian, and Air New Zealand raise, given that the Supplement to the 2010 Investment Statement of the Government of New Zealand projected that those sales would raise $5.18 billion? Hon DAVID PARKER to the Minister for ACC: How much did ACC invest in Pike River Coal Limited and in New Zealand Oil and Gas Limited over the last eight years, and how much has it made or lost in total on its investment in each company, taking into account share purchases, subscriptions and sales, dividends, and current share prices? Rt Hon WINSTON PETERS to the Minister of Māori Affairs: Does he stand by his statement "I know Māori want to talk about the place of the Treaty of Waitangi in our constitution, and how our legal and political systems can reflect tikanga Māori."; if so, why? Hon SHANE JONES to the Associate Minister of Finance: Is he satisfied with his performance in regard to his delegations as Associate Minister of Finance? JONATHAN YOUNG to the Minister for Building and Construction: What reports has he received regarding the state of the building and construction sector? GARETH HUGHES to the Minister for the Environment: Did the Environmental Protection Authority assess the full version of Anadarko's Discharge Management Plan and Emergency Response Plan as part of its evaluation of the company's Environmental Impact Assessment for the Deepwater Taranaki Well; if not, why not? Hon CLAYTON COSGROVE to the Minister of Finance: When, if at all, did Cabinet approve the timing of the Air New Zealand sell-down and what directions did Cabinet give the shareholding Ministers? NICKY WAGNER to the Minister of Housing: What steps is the Government taking to rebuild Christchurch's housing stock damaged or destroyed by the earthquakes? Hon DAMIEN O'CONNOR to the Minister for Primary Industries: Does he stand by his statement "The opportunity, and challenge, for our meat producers now is to add value to different cuts of meat and continue to sell the New Zealand story"; if so, why? IAN McKELVIE to the Minister of Local Government: How is the Government improving councils' financial reporting? DARIEN FENTON to the Minister of Labour: Does he stand by his statement that "I am especially keen to hear what affected parties have to say on the Part 6A proposals in the Bill, and will carefully consider their submissions and the recommendations of the select committee"?

Audio, Radio New Zealand

Questions to Ministers 1. JACQUI DEAN to the Minister of Finance: What reports has he received on the economy? 2. Hon PHIL GOFF to the Prime Minister: Will he rule out making cuts to Working for Families payments this year; if not, why not? 3. TIM MACINDOE to the Minister for Social Development and Employment: What changes is the Government making to Family Start to ensure a greater focus on protecting children from abuse and neglect? 4. Hon ANNETTE KING to the Minister for Social Development and Employment: Does she agree with the Prime Minister that "anyone on a benefit actually has a lifestyle choice…some make poor choices, and they do not have money left"? 5. KANWALJIT SINGH BAKSHI to the Minister of Civil Defence: Did he meet with business leaders in Christchurch yesterday to discuss the Civil Defence state of national emergency operations; if so, what was the outcome of that meeting? 6. Hon DAVID CUNLIFFE to the Minister of Finance: Who was right, the Prime Minster who predicted that the New Zealand economy would grow "reasonably aggressively" in 2010-11, or the last four quarterly NZIER consensus forecast updates for GDP, which have progressively declined from 3.2 percent to just 0.8 percent for the year to March 2011? 7. Dr RUSSEL NORMAN to the Minister of Finance: Which response to the Christchurch earthquake carries a greater risk of a credit downgrade: increased government borrowing or a temporary earthquake levy? 8. PHIL TWYFORD to the Minister of Local Government: When he said "Auckland's fragmented governance has meant a lack [of] leadership and vision, but soon its leaders will be able to think regionally, plan strategically and act decisively", did he mean only if they agree with the Government's plan for Auckland? 9. JO GOODHEW to the Minister of Education: What were the results of the Accelerating Learning in Mathematics Pilot Study? 10. Hon DAMIEN O'CONNOR to the Minister for Biosecurity: Does he agree with the statements made by John Lancashire and Stew Wadey, President of Waikato Federated Farmers, in the Dominion Post yesterday that New Zealand is exposed to greater risk of incursions or exotic pests at our borders as a result of the "fast-tracking of tourists", the "attempts to abolish import restrictions", and his axing of 60 frontline border staff? 11. MICHAEL WOODHOUSE to the Acting Minister of Energy and Resources: What reports has she received on levels of renewable electricity generation? 12. CHRIS HIPKINS to the Minister for ACC: Does he stand by his answer to question 4 on Thursday last week "that funding will be taken from either the earners account or the work account" and "that a higher proportion of claims than the overall average for ACC are actually in the work account"; if not, why not?

Research papers, University of Canterbury Library

The Lake Coleridge Rock Avalanche Deposits (LCRADs) are located on Ryton Station in the middle Rakaia Valley, approximately 80 km west of Christchurch. Torlesse Supergroup greywacke is the basement material and has been significantly influenced by both active tectonics and glaciation. Both glacial and post-glacial processes have produced large volumes of material which blanket the bedrock on slopes and in the valley floors. The LCRADs were part of a regional study of rock avalanches by WHITEHOUSE (1981, 1983) and WHITEHOUSE and GRIFFITHS (1983), and a single rock avalanche event was recognised with a weathering rind age of 120 years B.P. that was later modified to 150 ± 40 years B.P. The present study has refined details of both the age and the sequence of events at the site, by identifying three separate rock avalanche deposits (termed the LCRA1, LCRA2 and LCRA3 deposits), which are all sourced from near the summit of Carriage Drive. The LCRA1 deposit is lobate in shape and had an estimated original deposit volume of 12.5 x 10⁶ m³, although erosion by the Ryton River has reduced the present day debris volume to 5.1 x 10⁶ m³. An optically stimulated luminescence date taken from sandy loess immediately beneath the LCRA1 deposit provided a maximum age for the rock avalanche event of 9,720 ± 750 years B.P., which is believed to be realistic given that this is shortly after the retreat of Acheron 3 ice from this part of the valley. Emplacement of rock avalanche material into an ancestral Ryton riverbed created a natural dam with a ~17 M m³ lake upstream. The river is thought to have created a natural spillway over the dam structure at ~557 m (a.s.l), and to have existed for a number of years before any significant downcutting occurred. Although a triggering mechanism for the LCRA1 deposit was poorly constrained, it is thought that stress rebound after glacial ice removal may have initiated failure. Due to the event occurring c.10,000 years ago, there was a lack of definition for a possible earthquake trigger, though the possibility is obvious. The LCRA₂ event had an original deposit volume of 0.66 x 10⁶ m³, and was constrained to the low-lying area adjacent to the Ryton River that had been created by river erosion of the LCRA1 deposit. Further erosion by the Ryton River has reduced the deposit volume to 0.4 x 10⁶ m³. A radiocarbon date from a piece of mānuka found within the LCRA2 deposit provided an age of 668 ± 36 years B.P., and this is thought to reliably date the event. The LCRA2 event also dammed the Ryton River, and the preservation of dam-break outwash terraces downstream from the deposit provides clear evidence of rapid dam erosion and flooding after overtopping, and breaching by the Ryton River. Based on the mean annual flow of the Ryton River, the LCRA2 lake would have taken approximately two weeks to fill assuming that there were no preferred breach paths and the material was relatively impermeable. The LCRA2 event is thought to have been coseismic with a fault rupture along the western segment of the PPAFZ, which has been dated at 600 ± 100 years B.P. by SMITH (2003). The small LCRA3 event was not able to be dated, but it is believed to have failed shortly after the LCRA2 event and it may in fact be a lag deposit of the second rock avalanche event possibly triggered by an aftershock. The deposit is only visible at one locality within the cliffs that line the Ryton River, and its lack of geomorphic expression is attributed to it occurring closely after the LCRA2 event, while the Ryton River was still dammed from the second rock avalanche event. A wedge-block of some 35,000 m³ of source material for a future rock avalanche was identified at the summit of Carriage Drive. The dilation of the rock mass, combined with unfavourably oriented sub-vertical bedding in the Torlesse Supergroup bedrock, has allowed toppling-style failure on both of the main ridge lines around the source area for the LCRADs. In the event of a future rock avalanche occurring within the Ryton riverbed an emergency response plan has been developed to provide a staged response, especially in relation to the camping ground located at the mouth of the Ryton River. A long-term management plan has also been developed for mitigation measures for the Ryton riverbed and adjacent floodplain areas downstream of a future rock avalanche at the LCRAD site.

Research papers, University of Canterbury Library

One of the great challenges facing human systems today is how to prepare for, manage, and adapt successfully to the profound and rapid changes wreaked by disasters. Wellington, New Zealand, is a capital city at significant risk of devastating earthquake and tsunami, potentially requiring mass evacuations with little or short notice. Subsequent hardship and suffering due to widespread property damage and infrastructure failure could cause large areas of the Wellington Region to become uninhabitable for weeks to months. Previous research has shown that positive health and well-being are associated with disaster-resilient outcomes. Preventing adverse outcomes before disaster strikes, through developing strengths-based skill sets in health-protective attitudes and behaviours, is increasingly advocated in disaster research, practise, and management. This study hypothesised that well-being constructs involving an affective heuristic play vital roles in pathways to resilience as proximal determinants of health-protective behaviours. Specifically, this study examined the importance of health-related quality of life and subjective well-being in motivating evacuation preparedness, measured in a community sample (n=695) drawn from the general adult population of Wellington’s isolated eastern suburbs. Using a quantitative epidemiological approach, the study measured the prevalence of key quality of life indicators (physical and mental health, emotional well-being or “Sense of Coherence”, spiritual well-being, social well-being, and life satisfaction) using validated psychometric scales; analysed the strengths of association between these indicators and the level of evacuation preparedness at categorical and continuous levels of measurement; and tested the predictive power of the model to explain the variance in evacuation preparedness activity. This is the first study known to examine multi-dimensional positive health and global well-being as resilient processes for engaging in evacuation preparedness behaviour. A cross-sectional study design and quantitative survey were used to collect self-report data on the study variables; a postal questionnaire was fielded between November 2008 and March 2009 to a sampling frame developed through multi-stage cluster randomisation. The survey response rate was 28.5%, yielding a margin of error of +/- 3.8% with 95% confidence and 80% statistical power to detect a true correlation coefficient of 0.11 or greater. In addition to the primary study variables, data were collected on demographic and ancillary variables relating to contextual factors in the physical environment (risk perception of physical and personal vulnerability to disaster) and the social environment (through the construct of self-determination), and other measures of disaster preparedness. These data are reserved for future analyses. Results of correlational and regression analyses for the primary study variables show that Wellingtonians are highly individualistic in how their well-being influences their preparedness, and a majority are taking inadequate action to build their resilience to future disaster from earthquake- or tsunami-triggered evacuation. At a population level, the conceptual multi-dimensional model of health-related quality of life and global well-being tested in this study shows a positive association with evacuation preparedness at statistically significant levels. However, it must be emphasised that the strength of this relationship is weak, accounting for only 5-7% of the variability in evacuation preparedness. No single dimension of health-related quality of life or well-being stands out as a strong predictor of preparedness. The strongest associations for preparedness are in a positive direction for spiritual well-being, emotional well-being, and life satisfaction; all involve a sense of existential meaningfulness. Spiritual well-being is the only quality of life variable making a statistically significant unique contribution to explaining the variance observed in the regression models. Physical health status is weakly associated with preparedness in a negative direction at a continuous level of measurement. No association was found at statistically significant levels for mental health status and social well-being. These findings indicate that engaging in evacuation preparedness is a very complex, holistic, yet individualised decision-making process, and likely involves highly subjective considerations for what is personally relevant. Gender is not a factor. Those 18-24 years of age are least likely to prepare and evacuation preparedness increases with age. Multidimensional health and global well-being are important constructs to consider in disaster resilience for both pre-event and post-event timeframes. This work indicates a need for promoting self-management of risk and building resilience by incorporating a sense of personal meaning and importance into preparedness actions, and for future research into further understanding preparedness motivations.

Research papers, University of Canterbury Library

This dissertation addresses a diverse range of topics in the physics-based broadband ground motion simulation, with a focus on New Zealand applications. In particular the following topics are addressed: the methodology and computational implementation of a New Zealand Velocity Model for broadband ground motion simulation; generalised parametric functions and spatial correlations for seismic velocities in the Canterbury, New Zealand region from surface-wave-based site characterisation; and ground motion simulations of Hope Fault earthquakes. The paragraphs below outline each contribution in more detail. A necessary component in physics-based ground motion simulation is a 3D model which details the seismic velocities in the region of interest. Here a velocity model construction methodology, its computational implementation, and application in the construction of a New Zealand velocity model for use in physics-based broadband ground motion simulation are presented. The methodology utilises multiple datasets spanning different length scales, which is enabled via the use of modular sub-regions, geologic surfaces, and parametric representations of crustal velocity. A number of efficiency-related workflows to decrease the overall computational construction time are employed, while maintaining the flexibility and extensibility to incorporate additional datasets and re- fined velocity parameterizations as they become available. The model comprises explicit representations of the Canterbury, Wellington, Nelson-Tasman, Kaikoura, Marlborough, Waiau, Hanmer and Cheviot sedimentary basins embedded within a regional travel-time tomography-based velocity model for the shallow crust and provides the means to conduct ground motion simulations throughout New Zealand for the first time. Recently developed deep shear-wave velocity profiles in Canterbury enabled models that better characterise the velocity structure within geologic layers of the Canterbury sedimentary basin to be developed. Here the development of depth- and Vs30-dependent para-metric velocity and spatial correlation models to characterise shear-wave velocities within the geologic layers of the Canterbury sedimentary basin are presented. The models utilise data from 22 shear-wave velocity profiles of up to 2.5km depth (derived from surface wave analysis) juxtaposed with models which detail the three-dimensional structure of the geologic formations in the Canterbury sedimentary basin. Parametric velocity equations are presented for Fine Grained Sediments, Gravels, and Tertiary layer groupings. Spatial correlations were developed and applied to generate three-dimensional stochastic velocity perturbations. Collectively, these models enable seismic velocities to be realistically represented for applications such as 3D ground motion and site response simulations. Lastly the New Zealand velocity model is applied to simulate ground motions for a Mw7.51 rupture of the Hope Fault using a physics-based simulation methodology and a 3D crustal velocity model of New Zealand. The simulation methodology was validated for use in the region through comparison with observations for a suite of historic small magnitude earthquakes located proximal to the Hope Fault. Simulations are compared with conventionally utilised empirical ground motion models, with simulated peak ground velocities being notably higher in regions with modelled sedimentary basins. A sensitivity analysis was undertaken where the source characteristics of magnitude, stress parameter, hypocentre location and kinematic slip distribution were varied and an analysis of their effect on ground motion intensities is presented. It was found that the magnitude and stress parameter strongly influenced long and short period ground motion amplitudes, respectively. Ground motion intensities for the Hope Fault scenario are compared with the 2016 Kaikoura Mw7.8 earthquake, it was found that the Kaikoura earthquake produced stronger motions along the eastern South Island, while the Hope Fault scenario resulted in stronger motions immediately West of the near-fault region. The simulated ground motions for this scenario complement prior empirically-based estimates and are informative for mitigation and emergency planning purposes.

Research papers, University of Canterbury Library

In this thesis, focus is given to develop methodologies for rapidly estimating specific components of loss and downtime functions. The thesis proposes methodologies for deriving loss functions by (i) considering individual component performance; (ii) grouping them as per their performance characteristics; and (iii) applying them to similar building usage categories. The degree of variation in building stock and understanding their characteristics are important factors to be considered in the loss estimation methodology and the field surveys carried out to collect data add value to the study. To facilitate developing ‘downtime’ functions, this study investigates two key components of downtime: (i) time delay from post-event damage assessment of properties; and (ii) time delay in settling the insurance claims lodged. In these two areas, this research enables understanding of critical factors that influence certain aspects of downtime and suggests approaches to quantify those factors. By scrutinising the residential damage insurance claims data provided by the Earthquake Commission (EQC) for the 2010- 2011 Canterbury Earthquake Sequence (CES), this work provides insights into various processes of claims settlement, the time taken to complete them and the EQC loss contributions to building stock in Christchurch city and Canterbury region. The study has shown diligence in investigating the EQC insurance claim data obtained from the CES to get new insights and build confidence in the models developed and the results generated. The first stage of this research develops contribution functions (probabilistic relationships between the expected losses for a wide range of building components and the building’s maximum response) for common types of claddings used in New Zealand buildings combining the probabilistic density functions (developed using the quantity of claddings measured from Christchurch buildings), fragility functions (obtained from the published literature) and cost functions (developed based on inputs from builders) through Monte Carlo simulations. From the developed contribution functions, glazing, masonry veneer, monolithic and precast concrete cladding systems are found to incur 50% loss at inter-storey drift levels equal to 0.027, 0.003, 0.005 and 0.011, respectively. Further, the maximum expected cladding loss for glazing, masonry veneer, monolithic, precast concrete cladding systems are found to be 368.2, 331.9, 365.0, and 136.2 NZD per square meter of floor area, respectively. In the second stage of this research, a detailed cost breakdown of typical buildings designed and built for different purposes is conducted. The contributions of structural and non- structural components to the total building cost are compared for buildings of different usages, and based on the similar ratios of non-structural performance group costs to the structural performance group cost, four-building groups are identified; (i) Structural components dominant group: outdoor sports, stadiums, parkings and long-span warehouses, (ii) non- structural drift-sensitive components dominant group: houses, single-storey suburban buildings (all usages), theatres/halls, workshops and clubhouses, (iii) non-structural acceleration- sensitive components dominant group: hospitals, research labs, museums and retail/cold stores, and (iv) apartments, hotels, offices, industrials, indoor sports, classrooms, devotionals and aquariums. By statistically analysing the cost breakdowns, performance group weighting factors are proposed for structural, and acceleration-sensitive and drift-sensitive non-structural components for all four building groups. Thus proposed building usage groupings and corresponding weighting factors facilitate rapid seismic loss estimation of any type of building given the EDPs at storey levels are known. A model for the quantification of post-earthquake inspection duration is developed in the third stage of this research. Herein, phase durations for the three assessment phases (one rapid impact and two rapid building) are computed using the number of buildings needing inspections, the number of engineers involved in inspections and a phase duration coefficient (which considers the median building inspection time, efficiency of engineer and the number of engineers involved in each assessment teams). The proposed model can be used: (i) by national/regional authorities to decide the length of the emergency period following a major earthquake, and estimate the number of engineers required to conduct a post-earthquake inspection within the desired emergency period, and (ii) to quantify the delay due to inspection for the downtime modelling framework. The final stage of this research investigates the repair costs and insurance claim settlement time for damaged residential buildings in the 2010-2011 Canterbury earthquake sequence. Based on the EQC claim settlement process, claims are categorized into three groups; (i) Small Claims: claims less than NZD15,000 which were settled through cash payment, (ii) Medium Claims: claims less than NZD100,000 which were managed through Canterbury Home Repair Programme (CHRP), and (iii) Large Claims: claims above NZD100,000 which were managed by an insurance provider. The regional loss ratio (RLR) for greater Christchurch for three events inducing shakings of approximate seismic intensities 6, 7, and 8 are found to be 0.013, 0.066, and 0.171, respectively. Furthermore, the claim duration (time between an event and the claim lodgement date), assessment duration (time between the claim lodgement day and the most recent assessment day), and repair duration (time between the most recent assessment day and the repair completion day) for the insured residential buildings in the region affected by the Canterbury earthquake sequence is found to be in the range of 0.5-4 weeks, 1.5- 5 months, and 1-3 years, respectively. The results of this phase will provide useful information to earthquake engineering researchers working on seismic risk/loss and insurance modelling.