The affect that the Christchurch Earthquake Sequence(CES) had on Christchurch residents was severe, and the consequences are still being felt today. The Ōtākaro Avon River Corridor (OARC) was particularly impacted, a geographic zone that had over 7,000 homes which needed to be vacated and demolished. The CES demonstrated how disastrous a natural hazard can be on unprepared communities. With the increasing volatility of climate change being felt around the world, considering ways in which communities can reduce their vulnerabilities to natural hazards is vital. This research explores how communities can reduce their vulnerabilities to natural hazards by becoming more adaptable, and in particular the extent to which tiny homes could facilitate the development of adaptive communities. In doing so, three main themes were explored throughout this research: (1) tiny homes, (2) environmental adaptation and (3) community adaptability. To ensure that it is relevant and provides real value to the local community, the research draws upon the local case study of the Riverlution Tiny House Village(RTHV), an innovative community approach to adaptable, affordable, low-impact, sustainable living on margins of land which are no longer suitable for permanent housing. The main findings of the research are that Christchurch is at risk of climate change and natural hazards and it is therefore important to consider ways in which communities can stay intact and connected while adapting to the risks they face. Tiny homes provide an effective way of doing so, as they represent a tangible way that people can take adaptation into their own hands while maintaining a high-quality lifestyle.
INTRODUCTION: After the 2011 Canterbury earthquake, the provision of school social work was extended into a larger number of schools in the greater Christchurch region to support discussions of their practice priorities and responses in post-earthquake schools. FINDINGS: Two main interpretations of need are reflected in the school social workers’ accounts of their work with children and families. Firstly, hardship-focused need, which represented children as adversely influenced by their home circumstances; the interventions were primarily with parents. These families were mainly from schools in low socioeconomic areas. Secondly, anxiety-based need, a newer practice response, which emphasised children who were considered particularly susceptible to the impacts of the disaster event. This article considers how these practitioners conceptualised and responded to the needs of the children and their families in this context. METHOD: A qualitative study examining recovery policy and school social work practice following the earthquakes including 12 semi-structured interviews with school social workers. This article provides a Foucauldian analysis of the social worker participants’ perspectives on emotional and psychological issues for children, particularly those from middle-class families; the main interventions were direct therapeutic work with children themselves. Embedded within these practice accounts are moments in which the social workers contested the predominant, individualising conceptualisations of need to enable more open-ended, negotiable, interconnected relationships in post-earthquake schools. IMPLICATIONS: In the aftermath of disasters, school social workers can reflect on their preferred practice responses and institutional influences in schools to offer children and families opportunities to reject the prevalent norms of risk and vulnerability.
This research attempts to understand how the Christchurch rebuild is promoting urban liveability in the Central City, focussing on the influence of communities and neighbourhoods in this area. To do this, gathering the perceptions of Christchurch residents through surveys, a focus group and semi-structured interviews was carried out to see what aspects they believe contribute to creating more liveable places. These methods revealed that there are pockets of neighbourhoods and communities in the inner-city, but no overall sense of community. Results from the semi-structured interviews reinforced this; the current buyers of inner-city property are in the financial position to be able to do this, and they seem to be purchasing in this area due to convenience and investment rather than to join the existing communities in the area. Analysing the survey responses from Central City residents revealed contrasting results. Those currently living in the area felt there is a sense of community in the inner-city, but these are found in pockets of neighbourhoods around the Central City rather than in the overall area. The focus group revealed that community is further prioritised later in life, and that many of the community groups in the inner-city predominantly consist of those who have lived there since before the Christchurch Earthquake Series. However, participants of all three methods believed that the Central City is slowly becoming a lively and vibrant place. To improve urban liveability in the inner-city, it seems that prioritisation of the needs of current inner-city residents is required. Improving these neighbourhoods, whether it be through the implementation of services or providing more communal spaces, is needed to create stronger communities. The feelings of place, connectedness, and belonging that arise from being part of a community or well-connected neighbourhood can improve mental health and wellbeing, ultimately enhancing the overall health of the population as well as the perceived urban liveability of the area.
The Bachelor of Youth and Community Leadership (BYCL) was launched by the University of Canterbury (UC) in 2020. The genesis of this new degree was a Stage One service-learning course that, in turn, arose from the innovative and active response of many of the university’s students in the aftermath of the Christchurch earthquakes in 2010 and 2011. That innovative action saw the formation of the Student Volunteer Army as well as the adoption of a new set of Graduate Attributes for every undergraduate at the university. The idea of a specialist undergraduate degree that captured this unique chain of events began to take form from 2016. The resulting degree was developed as a flexible, transdisciplinary programme for young (and not so young) leaders wanting an academic grounding for their passions in community leadership and social action. In 2020, the inaugural intake of students commenced their studies. In this reflection, we discuss our experience of teaching within the BYCL for the first time, using a collaborative approach to teaching that we based on what we understand, individually and collectively, to draw on principles of democratic pedagogy.
Recent tsunami events have highlighted the importance of effective tsunami risk management strategies (including land-use planning, structural and natural mitigation, warning systems, education and evacuation planning). However, the rarity of tsunami means that empirical data concerning reactions to tsunami warnings and evacuation behaviour is rare when compared to findings for evacuations from other hazards. More knowledge is required to document the full evacuation process, including responses to warnings, pre-evacuation actions, evacuation dynamics, and the return home. 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 the timings of evacuations, rather than behaviours of those evacuating. In this research, survey data was gathered from coastal communities in Banks Peninsula and Christchurch, New Zealand, relating to behaviours and actions during the November 14th 2016 Kaikōura earthquake tsunami. Survey questions asked about immediate actions following the earthquake shaking, reactions to tsunami warnings, pre-evacuation actions, evacuation dynamics and details on congestion. This data was analysed to characterise trends and identify factors that influenced evacuation actions and behaviour, and was further used to develop a realistic evacuation model prototype to evaluate the capacity of the roading network in Banks Peninsula during a tsunami evacuation. The evacuation model incorporated tsunami risk management strategies that have been implemented by local authorities, and exposure and vulnerability data, alongside the empirical data collected from the survey. This research enhances knowledge of tsunami evacuation behaviour and reactions to tsunami warnings, and can be used to refine evacuation planning to ensure that people can evacuate efficiently, thereby reducing their tsunami exposure and personal risk.
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.
