Building strong, resilient communities: what we learned from the Canterbur…
Research papers, University of Canterbury Library
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This report forms part of a research project examining rural community resilience to natural hazard events, with a particular focus on transient population groups. A preliminary desktop and scoping exercise was undertaken to examine nine communities affected by the Kaikoura earthquake and to identify the variety of transient population groups that are commonly (and increasingly) found in rural New Zealand (see Wilson & Simmons, 2017). From this, four case study communities – Blenheim, Kaikoura, Waiau and St Arnaud – were selected to represent a range of settlement types. These communities varied in respect of social, economic and geographic features, including the presence of particular transient population groups, and earthquake impact. While the 2016 Kaikoura earthquake provided a natural hazard event on which to focus the research, the research interest was in long-term (and broad) community resilience, rather than short-term (and specific) response and recovery actions which occurred post-earthquake.
Natural hazard reviews reveal increases in disaster impacts nowhere more pronounced than in coastal settlements. Despite efforts to enhance hazard resilience, the common trend remains to keep producing disaster prone places. This paper explicitly explores hazard versus multi-hazard concepts to illustrate how different conceptualizations can enhance or reduce settlement resilience. Understandings gained were combined with onthe-ground lessons from earthquake and flooding experiences to develop of a novel ‘first cut’ approach for analyzing key multi-hazard interconnections, and to evaluate resilience enhancing opportunities. Traditional disaster resilience efforts often consider different hazard types discretely. However, recent events in Christchurch, a New Zealand city that is part of the 100 Resilient Cities network, highlight the need to analyze the interrelated nature of different hazards, especially for enhancing lifelines system resilience. Our overview of the Christchurch case study demonstrates that seismic, hydrological, shallow-earth, and coastal hazards can be fundamentally interconnected, with catastrophic results where such interconnections go unrecognized. In response, we have begun to develop a simple approach for use by different stakeholders to support resilience planning, pre and post disaster, by: drawing attention to natural and built environment multi-hazard links in general; illustrating a ‘first cut’ tool for uncovering earthquake-flooding multi-hazard links in particular; and providing a basis for reviewing resilience strategy effectiveness in multi-hazard prone environments. This framework has particular application to tectonically active areas exposed to climate-change issues.
The quality of public space is vital to livable cities. Yet livable cities also require empowered communities. This thesis asks: how is the landscape architect’s design expertise expressed as part of the public participation process, what are the key features of design expertise that lead to an effective design-based participation process and how does quality in the participation process relate to the quality of design outcomes? A theoretical framework is developed from which to clarify the relationship between decision-making processes in design and public participation. Insights from design theory are combined with the findings of key informant interviews with New Zealand and Northern Europe design experts, and with landscape architects, community and Council staff working in post-earthquake Ōtautahi/Christchurch, Aotearoa/New Zealand. Results of a case study of Albion Square in Ōhinehou/Lyttelton reveal that the designer’s interactions with the public play a critical role in shaping elegant design outcomes in public space design. Four key insights reveal that participatory design processes in New Zealand need to be reconsidered in order to enable landscape architects to work more closely with communities in mutual learning, rather than the currently limiting technical problem solving process. Institutional, professional and theoretical implications are drawn from the findings.
Farming and urban regions are impacted by earthquake disasters in different ways, and feature a range of often different recovery requirements. In New Zealand, and elsewhere, most earthquake impact and recovery research is urban focused. This creates a research deficit that can lead to the application of well-researched urban recovery strategies in rural areas to suboptimal effect. To begin to reduce this deficit, in-depth case studies of the earthquake impacts and recovery of three New Zealand farms severely impacted by the 14th November 2016, M7.8 Hurunui-Kaikōura earthquake were conducted. The initial earthquake, its aftershocks and coseismic hazards (e.g., landslides, liquefaction, surface rupture) affected much of North Canterbury, Marlborough and the Wellington area. The three case study farms were chosen to broadly represent the main types of farming and topography in the Hurunui District in North Canterbury. The farms were directly and indirectly impacted by earthquakes and related hazards. On-farm infrastructure (e.g., woolsheds, homesteads) and essential services (e.g., water, power), frequently sourced from distributed networks, were severely impacted. The earthquake occurred after two years of regional drought had already stressed farm systems and farmers to restructuring or breaking point. Cascading interlinked hazards stemming from the earthquakes and coseismic hazards continued to disrupt earthquake recovery over a year after the initial earthquake. Semi-structured interviews with the farmers were conducted nine and fourteen months after the initial earthquake to capture the timeline of on-going impacts and recovery. Analysis of both geological hazard data and interview data resulted in the identification of key factors influencing farm level earthquake impact and recovery. These include pre-existing conditions (e.g., drought); farm-specific variations in recovery timelines; and resilience strategies for farm recovery resources. The earthquake recovery process presented all three farms with opportunities to change their business plans and adapt to mitigate on-going and future risk.