This study is a qualitative investigation into the decision-making behaviour of commercial property owners (investors and developers) who are rebuilding in a city centre after a major disaster. In 2010/2011, Christchurch, the largest city in the South Island of New Zealand, was a site of numerous earthquakes. The stronger earthquakes destroyed many buildings and public infrastructure in the commercial inner city. As a result, affected property owners lost all or most of their buildings, a significant proportion of which were old and in the last phase of their life span. They had to negotiate pay-outs with insurance companies and decide, once paid out, whether they should rebuild in Christchurch or sell up and invest elsewhere. The clear majority of those who decided to reinvest in and rebuild the city are ‘locals’, almost all of whom had no prior experience of property development. Thus, in a post-disaster environment, most of these property owners have transitioned from being just being passive investors to active property developers. Their experience was interpreted using primary data gathered from in-depth and semi-structured interviews with twenty-one “informed property people” who included commercial property owners; property agents or consultants; representatives of public-sector agencies and financial institutions. The study findings showed that the decision-making behaviour of property investors and developers rebuilding after a major disaster did not necessarily follow a strict financial or profit motive as prescribed in the mainstream or neo-classical economics property literature. Rather, their decision-making behaviour has been largely shaped by emotional connections and external factors associated with their immediate environment. The theoretical proposition emerging from this study is that after a major disaster, local urban property owners are faced with two choices “to stay” or “to go”. Those who decide to stay and rebuild are typically very committed individuals who have a feeling of ownership, belonging and attachment to the city in which they live and work. These are people who will often take the lead in commercial property development, proactively making decisions and seeking positive investment outcomes for themselves which in turn result in revitalised commercial urban precincts.
A pdf transcript of Max Lucas's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Laura Moir. Transcriber: Sarah Woodfield.
A pdf transcript of Betty and Michael's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Sarah Woodfield.
A pdf transcript of Julie's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Natalie Looyer.
A pdf transcript of Lee-Ray Ozanne's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Lucy Denham. Transcriber: Lucy Denham.
A story submitted by Jo Nicholls-Parker and Petra Van Asten to the QuakeStories website.
A pdf transcript of {participant name/ID}'s second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Joshua Black. Transcriber: Josie Hepburn.
An edited copy of the pdf transcript of Michelle's second earthquake story, captured by the UC QuakeBox Take 2 project. At the participant's request, parts of this transcript have been redacted. Interviewer: Jennifer Middendorf. Transcriber: Josie Hepburn.
A pdf transcript of Participant Number LY191's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Joshua Black. Transcriber: Caleb Middendorf.
A pdf transcript of Tania's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Laura Moir. Transcriber: Lucy Denham.
A pdf transcript of Part 1 of Tracey Waiariki's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Lucy Denham. Transcriber: Lucy Denham.
A pdf transcript of Vic Bartley's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Sarah Woodfield.
A pdf transcript of Paul Barrett's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Josie Hepburn.
A pdf transcript of Darren Tatom's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Samuel Hope.
A pdf transcript of Diane Hyde's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Paul Millar. Transcriber: Natalie Looyer.
A pdf transcript of Hugh's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Josie Hepburn.
A PDF copy of a 'Live Brighter' poster design. It reads, "Into it or over it? Live Brighter." 'Live Brighter' was an All Right? campaign to encourage happier, healthier behaviours and lifestyles that began in 2016. The poster was available to order or download at the Community & Public Health website.
Summary of oral history interview with Rebecca Macfie about her experiences of the Canterbury earthquakes.
A pdf transcript of Andrea's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Josie Hepburn.
A pdf transcript of Ann's second earthquake story, captured by the UC QuakeBox Take 2 project. Interviewer: Samuel Hope. Transcriber: Josie Hepburn.
A pdf transcript of Bev McCashin's second earthquake story, captured by the UC QuakeBox Take 2 project. The interview was conducted via Zoom. Interviewer: Laura Moir. Transcriber: Lauren Millar.
A story submitted by Mike Williams to the QuakeStories website.
Deformational properties of soil, in terms of modulus and damping, exert a great influence on seismic response of soil sites. However, these properties for sands containing some portion of fines particles have not been systematically addressed. In addition, simultaneous modelling of the modulus and damping behaviour of soils during cyclic loading is desirable. This study presents an experimental and computational investigation into the deformational properties of sands containing fines content in the context of site response analysis. The experimental investigation is carried on sandy soils sourced from Christchurch, New Zealand using a dynamic triaxial apparatus while the computational aspect is based on the framework of total-stress one-dimensional (1D) cyclic behaviour of soil. The experimental investigation focused on a systematic study on the deformational behaviour of sand with different amounts of fines content (particle diameter ≤ 75µm) under drained conditions. The silty sands were prepared by mixing clean sand with three different percentages of fines content. A series of bender element tests at small-strain range and stress-controlled dynamic triaxial tests at medium to high-strain ranges were conducted on samples of clean sand and silty sand. This allowed measurements of linear and nonlinear deformational properties of the same specimen for a wide strain range. The testing program was designed to quantify the effects of void ratio and fines content on the low-strain stiffness of the silty sand as well as on the nonlinear stress-strain relationship and corresponding shear modulus and damping properties as a function of cyclic shear strains. Shear wave velocity, Vs, and maximum shear modulus, Gmax, of silty sand was shown to be significantly smaller than the respective values for clean sands measured at the same void ratio, e, or same relative density, Dr. However, the test results showed that the difference in the level of nonlinearity between clean sand and silty sands was small. For loose samples prepared at an identical relative density, the behaviour of clean sand was slightly less nonlinear as compared to sandy soils with higher fines content. This difference in the nonlinear behaviour of clean sand and sandy soils was negligible for dense soils. Furthermore, no systematic influence of fines content on the material damping curve was observed for sands with fines content FC = 0 to 30%. In order to normalize the effects of fines on moduli of sands, equivalent granular void ratio, e*, was employed. This was done through quantifying the participation of fines content in the force transfer chain of the sand matrix. As such, a unified framework for modelling of the variability of shear wave velocity, Vs, (or shear modulus, Gmax) with void ratio was achieved for clean sands and sands with fines, irrespective of their fines content. Furthermore, modelling of the cyclic stress-strain behaviour based on this experimental program was investigated. The modelling effort focused on developing a simple constitutive model which simultaneously models the soil modulus and damping relationships with shear strains observed in laboratory tests. The backbone curve of the cyclic model was adopted based on a modified version of Kondner and Zelasko (MKZ) hyperbolic function, with a curvature coefficient, a. In order to simulate the hysteretic cycles, the conventional Masing rules (Pyke 1979) were revised. The parameter n, in the Masing’s criteria was assumed to be a function of material damping, h, measured in the laboratory. As such the modulus and damping produced by the numerical model could match the stress-strain behaviour observed in the laboratory over the course of this study. It was shown that the Masing parameter n, is strain-dependent and generally takes values of n ≤ 2. The model was then verified through element test simulations under different cyclic loadings. It was shown that the model could accurately simulate the modulus and the damping simultaneously. The model was then incorporated within the OpenSees computational platform and was used to scrutinize the effects of damping on one-dimensional seismic site response analysis. For this purpose, several strong motion stations which recorded the Canterbury earthquake sequence were selected. The soil profiles were modelled as semi-infinite horizontally layered deposits overlying a uniform half-space subjected to vertically propagating shear waves. The advantages and limitations of the nonlinear model in terms of simulating soil nonlinearity and associated material damping were further scrutinized. It was shown that generally, the conventional Masing criteria unconservatively may underestimate some response parameters such as spectral accelerations. This was shown to be due to larger hysteretic damping modelled by using conventional Masing criteria. In addition, maximum shear strains within the soil profiles were also computed smaller in comparison to the values calculated by the proposed model. Further analyses were performed to study the simulation of backbone curve beyond the strain ranges addressed in the experimental phase of this study. A key issue that was identified was that relying only on the modulus reduction curves to simulate the stress-strain behaviour of soil may not capture the actual soil strength at larger strains. Hence, strength properties of the soil layer should also be incorporated to accurately simulate the backbone curve.
Five years after the devastating series of earthquakes in Christchurch, New Zealand, the structural engineering community is now focussing on low damage design by either proactively reducing the possibility of significant damage to primary steel members (i.e. developing seismic resisting systems that will deliver a high damage threshold in severe earthquakes) or by improved detailing of the primary steel members for rapid replacement. This paper presents a development of Eccentrically Braced Frames (EBFs) with replaceable active links. It uses the bolted flange- and web splicing concept to connect the active link to the collector beam or column. Finite element analyses have been performed to investigate the behaviour and reliability of EBFs with this new type replaceable active link. The results show a stable hysteretic behaviour and more significantly easier replacement of the damaged active link in comparison with conventional EBFs.
The seismic performance and parameter identification of the base isolated Christchurch Women’s Hospital (CWH) building are investigated using the recorded seismic accelerations during the two large earthquakes in Christchurch. A four degrees of freedom shear model is applied to characterize the dynamic behaviour of the CWH building during these earthquakes. A modified Gauss-Newton method is employed to identify the equivalent stiffness and Rayleigh damping coefficients of the building. The identification method is first validated using a simulated example structure and finally applied to the CWH building using recorded measurements from the Mw 6.0 and Mw 5.8 Christchurch earthquakes on December 23, 2011. The estimated response and recorded response for both earthquakes are compared with the cross correlation coefficients and the mean absolute percentage errors reported. The results indicate that the dynamic behaviour of the superstructure and base isolator was essentially within elastic range and the proposed shear linear model is sufficient for the prediction of the structural response of the CWH Hospital during these events.
Tsunami events including the 2004 Indian Ocean Tsunami and the 2011 Tohoku Earthquake and Tsunami confirmed the need for Pacific-wide comprehensive risk mitigation and effective tsunami evacuation planning. New Zealand is highly exposed to tsunamis and continues to invest in tsunami risk awareness, readiness and response across the emergency management and science sectors. Evacuation is a vital risk reduction strategy for preventing tsunami casualties. Understanding how people respond to warnings and natural cues is an important element to improving evacuation modelling techniques. The relative rarity of tsunami events locally in Canterbury and also globally, means there is limited knowledge on tsunami evacuation behaviour, and tsunami evacuation planning has been largely informed by hurricane evacuations. This research aims to address this gap by analysing evacuation behaviour and movements of Kaikōura and Southshore/New Brighton (coastal suburb of Christchurch) residents following the 2016 Kaikōura earthquake. Stage 1 of the research is engaging with both these communities and relevant hazard management agencies, using a survey and community workshops to understand real-event evacuation behaviour during the 2016 Kaikōura earthquake and subsequent tsunami evacuations. The second stage is using the findings from stage 1 to inform an agent-based tsunami evacuation model, which is an approach that simulates of the movement of people during an evacuation response. This method improves on other evacuation modelling approaches to estimate evacuation times due to better representation of local population characteristics. The information provided by the communities will inform rules and interactions such as traffic congestion, evacuation delay times and routes taken to develop realistic tsunami evacuation models. This will allow emergency managers to more effectively prepare communities for future tsunami events, and will highlight recommended actions to increase the safety and efficiency of future tsunami evacuations.
There is a growing body of research into the effects of micronutrients on human mental health. There is evidence that multi-ingredient formulas are beneficial especially in relation to serious mental health disorders such as mood and anxiety disorders, attention-deficit hyperactivity disorder and obsessive-compulsive disorders. However there is almost no scientific research which looks at the effects of these formulas in an animal population. Therefore the aim of this study was to investigate the effects of a micronutrient formula, EMPowerplus, on anxiety behaviour in rats, and whether there is a relationship between dose and anxiolytic effect. In order to investigate this 40 male and 40 female rats received a diet consisting of either 0%, 1.25%, 2.5% or 5% EMP+ from when they were weaned (post natal day 30) until the end of testing 141 days later. Animals were tested in a Y maze, a light-dark emergence box and an open field at mid-adulthood (PND 136-138) and late adulthood (PND 186-188). Results found that animals receiving the 5% supplemented diet occupied the centre squares the most, occupied the corner squares the least and ambulated the most in the open field compared to the other experimental groups and control groups. No significant differences were found in the Y maze or Light-dark box. Animals were found to display more anxiety-like behaviour at time 2 than at time 1 regardless of receiving a supplemented diet or not. Overall a higher dose of EMP+ was associated with the greatest reduction in anxiety related behaviour. Due to the impact of the September 4th, 2010 Canterbury Earthquake caution should be taken when interpreting these results.
Recent global tsunami events have highlighted the importance of effective tsunami risk management strategies (including land-use planning, structural and natural defences, warning systems, education and evacuation measures). However, the rarity of tsunami means that empirical data concerning reactions to tsunami warnings and tsunami evacuation behaviour is rare when compared to findings about evacuations to avoid other sources of hazard. To date empirical research into tsunami evacuations has focused on evacuation rates, rather than other aspects of the evacuation process. More knowledge is required about responses to warnings, pre-evacuation actions, evacuation dynamics and the return home after evacuations. Tsunami evacuation modelling has the potential to inform evidence-based tsunami risk planning and response. However to date tsunami evacuation models have largely focused on timings of evacuations, rather than evacuation behaviours. This Masters research uses a New Zealand case study to reduce both of these knowledge gaps. Qualitative survey data was gathered from populations across coastal communities in Banks Peninsula and Christchurch, New Zealand, required to evacuate due to the tsunami generated by the November 14th 2016 Kaikōura Earthquake. Survey questions asked about reactions to tsunami warnings, actions taken prior to evacuating and movements during the 2016 tsunami evacuation. This data was analysed to characterise trends and identify factors that influenced evacuation actions and behaviour. Finally, it was used to develop an evacuation model for Banks Peninsula. Where appropriate, the modelling inputs were informed by the survey data. Three key findings were identified from the results of the evacuation behaviour survey. Although 38% of the total survey respondents identified the earthquake shaking as a natural cue for the tsunami, most relied on receiving official warnings, including sirens, to prompt evacuations. Respondents sought further official information to inform their evacuation decisions, with 39% of respondents delaying their evacuation in order to do so. Finally, 96% of total respondents evacuated by car. This led to congestion, particularly in more densely populated Christchurch city suburbs. Prior to this research, evacuation modelling had not been completed for Banks Peninsula. The results of the modelling showed that if evacuees know how to respond to tsunami warnings and where and how to evacuate, there are no issues. However, if there are poor conditions, including if people do not evacuate immediately, if there are issues with the roading network, or if people do not know where or how to evacuate, evacuation times increase with there being more bottlenecks leading out of the evacuation zones. The results of this thesis highlight the importance of effective tsunami education and evacuation planning. Reducing exposure to tsunami risk through prompt evacuation relies on knowledge of how to interpret tsunami warnings, and when, where and how to evacuate. Recommendations from this research outline the need for public education and engagement, and the incorporation of evacuation signage, information boards and evacuation drills. Overall these findings provide more comprehensive picture of tsunami evacuation behaviour and decision making based on empirical data from a recent evacuation, which can be used to improve tsunami risk management strategies. This empirical data can also be used to inform evacuation modelling to improve the accuracy and realism of the evacuation models.
An edited copy of the pdf transcript of Laura's second earthquake story, captured by the UC QuakeBox Take 2 project. At the participant's request, parts of this transcript have been redacted. Interviewer: Jennifer Middendorf. Transcriber: Laura Moir.
A story submitted by Sue Hamer to the QuakeStories website.