Research on human behaviour during earthquake shaking has identified three main influences of behaviour: the environment the individual is located immediately before and during the earthquake, in terms of where the individual is and who the individual is with at the time of the earthquake; individual characteristics, such as age, gender, previous earthquake experience, and the intensity and duration of earthquake shaking. However, little research to date has systematically analysed the immediate observable human responses to earthquake shaking, mostly due to data constraints and/or ethical considerations. Research on human behaviour during earthquakes has relied on simulations or post-event, reflective interviews and questionnaire studies, often performed weeks to months or even years following the event. Such studies are therefore subject to limitations such as the quality of the participant's memory or (perceived) realism of a simulation. The aim of this research was to develop a robust coding scheme to analyse human behaviour during earthquake shaking using video footage captured during an earthquake event. This will allow systematic analysis of individuals during real earthquakes using a previously unutilized data source, thus help develop guidance on appropriate protective actions. The coding scheme was developed in a two-part process, combining a deductive and inductive approach. Previous research studies of human behavioral response during earthquake shaking provided the basis for the coding scheme. This was then iteratively refined by applying the coding scheme to a broad range of video footage of people exposed to strong shaking during the Canterbury earthquake sequence. The aim of this was to optimise coding scheme content and application across a broad range of scenarios, and to increase inter-coder reliability. The methodology to code data will enhance objective observation of video footage to allow cross-event analysis and explore (among others): reaction time, patterns of behaviour, and social, environmental and situational influences of behaviour. This can provide guidance for building configuration and design, and evidence-based recommendations for public education about injury-preventing behavioural responses during earthquake shaking.
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.
Natural disasters are increasingly disruptive events that affect livelihoods, organisations, and economies worldwide. Research has identified the impacts and responses of organisations to different types of natural disasters, and have outlined factors, such as industry sector, that are important to organisational vulnerability and resilience. One of the most costly types of natural disasters in recent years has been earthquakes, and yet to date, the majority of studies have focussed on the effects of earthquakes in urban areas, while rural organisational impact studies have primarily focused on the effects of meteorological and climatic driven hazards. As a result, the likely impacts of an earthquake on rural organisations in a developed context is unconstrained in the literature. In countries like New Zealand, which have major earthquakes and agricultural sectors that are significant contributors to the economy, it is important to know what impacts an earthquake event would have on the rural industries, and how these impacts compare to that of a more commonly analysed, high-frequency event. In September of 2010, rural organisations in Canterbury experienced the 4 September 2010 Mw 7.1 `Darfield' earthquake and the associated aftershocks, which came to be known as the Canterbury earth- quake sequence. The earthquake sequence caused intense ground shaking, creating widespread critical service outages, structural and non-structural damage to built infrastructure, as well as ground surface damage from ooding, liquefaction and surface rupture. Concurrently on September 18 2010, rural organisations in Southland experienced an unseasonably late snowstorm and cold weather snap that brought prolonged sub-zero temperatures, high winds and freezing rain, damaging structures in the City of Invercargill and causing widespread livestock losses and production decreases across the region. This thesis documents the effects of the Canterbury earthquake sequence and Southland snowstorm on farming and rural non-farming organisations, utilizing comparable methodologies to analyse rural organisational impacts, responses and recovery strategies to natural disasters. From the results, a short- term impact assessment methodology is developed for multiple disasters. Additionally, a regional asset repair cost estimation model is proposed for farming organisations following a major earthquake event, and the use of social capital in rural organisational recovery strategies following natural disasters is analysed.
