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Research papers, Lincoln University

Akaroa is a small township situated within Akaroa Harbour, on the southern side of Banks Peninsula. It is approximately 75 kilometres, or 90 minutes by car, from Christchurch City. At the 2006 Census of Population and Dwellings, the ‘usually resident’ population of the township was 510 people. In addition to the usually resident population, Akaroa has a large number of non-resident property owners/ratepayers, many of whom own holiday homes. Many of these holiday homes are available as casual rentals (i.e., they may be occupied by people other than the property owners). The township acts as a service centre for the scattered population of the outer bays area of Akaroa Harbour, many of whom work in Akaroa. Akaroa is a popular day trip or short stay destination for Christchurch residents. Akaroa is also known as a destination which draws upon the French heritage of its pioneer settlers and the associated village charm derived from this heritage. Not unexpectedly, given the size and village character of Akaroa, the increase in cruise ship arrivals and passenger numbers has had an impact upon the town’s community.This research was commissioned and funded by Christchurch and Canterbury Tourism (CCT).

Research papers, University of Canterbury Library

This poster provides a summary of the development of a 3D shallow (z<40m) shear wave velocity (Vs) model for the urban Christchurch, New Zealand region. The model is based on a recently developed Christchurch-specific empirical correlation between Vs and cone penetration test (CPT) data (McGann et al. 2014a,b) and the large high-density database of CPT logs in the greater Christchurch urban area (> 15,000 logs as of 01/01/2014). In particular, the 3D model provides shear wave velocities for the surficial Springston Formation, Christchurch Formation, and Riccarton gravel layers which generally comprise the upper 40m in the Christchurch urban area. Point-estimates are provided on a 200m-by- 200m grid from which interpolation to other locations can be performed. This model has applications for future site characterization and numerical modeling efforts via maps of timeaveraged Vs over specific depths (e.g. Vs30, Vs10) and via the identification of typical Vs profiles for different regions and soil behaviour types within Christchurch. In addition, the Vs model can be used to constrain the near-surface velocities for the 3D seismic velocity model of the Canterbury basin (Lee et al. 2014) currently being developed for the purpose of broadband ground motion simulation.

Research papers, University of Canterbury Library

Following a disaster, an organisation’s ability to recover is influenced by its internal capacities, but also by the people, organisations, and places to which it is connected. Current approaches to organisational resilience tend to focus predominantly on an organization's internal capacities and do not adequately consider the place-based contexts and networks in which it is embedded. This thesis explores how organisations’ connections may both hinder and enable organisational resilience. Organisations in the Canterbury region of New Zealand experienced significant and repeated disruptions as a result of two major earthquakes and thousands of aftershocks throughout 2010 and 2011. This thesis draws upon 32 case studies of organisations located in three severely damaged town centres in Canterbury to assess the influence that organisations’ place-based connections and relational networks had on their post-earthquake trajectories. The research has four objectives: 1) to examine the ways organisations connected to their local contexts both before and after the earthquakes, 2) to explore the characteristics of the formal and informal networks organisations used to aid their response and recovery, 3) to identify the ways organisations’ connections to their local contexts and support networks influenced their ability to recover following the earthquakes, and finally, 4) to develop approaches to assess resilience that consider these extra-organisational connections. The thesis contests the fiction that organisations recover and adapt independently from their contexts following disasters. Although organisations have a set of internal capacities that enable their post-disaster recovery, they are embedded within external structures that constrain and enable their adaptive options following a disaster. An approach which considers organisations’ contexts and networks as potential sources of organisational resilience has both conceptual and practical value. Refining our understanding of the influence of extra-organisational connections can improve our ability to explain variability in organisational outcomes following disasters and foster new ways to develop and manage organisational resilience.