The Canterbury Earthquake Sequence (CES) was a monumental natural disaster in Aotearoa New Zealand that permanently altered Ōtautahi Christchurch’s geography. Following the earthquake events, the central city was in need of recovery and regeneration to return to being an enhanced and thriving space. The Christchurch Central Recovery Plan (CCRP) was developed to outline the aspirations, visions and challenges associated with rebuilding the central city. The purpose of this research was to review the current status of the CCRP, with a particular focus on identifying the projects that have or have not progressed. This research sought to understand which aspects of a post-disaster recovery plan have contributed to successful post-disaster recovery in Ōtautahi Christchurch. Secondary data was used to identify successes and failures in this regard. The results highlighted the top-down approach taken by the central government in the recovery process and a notable lack of community engagement throughout the CCRP. However, there were some projects and aspirations that have enabled Ōtautahi Christchurch to become a thriving city and express its regenerated identity at a local, national, and international level.
This community-partnered thesis explores the impact of ReVision Youth Audits in promoting youth-friendly community spaces in Christchurch, a city undergoing long-term urban transformation following the 2010–2011 earthquakes. In partnership with ReVision, a not-for-profit organisation facilitating youth-led audits of public and community spaces, this research examines how audit recommendations have been implemented by organisations responsible for 23 previously audited sites. Using a mixed-methods approach, including an online stakeholder survey (n = 16) and semi-structured interviews (n = 2), the study identified variation in implementation outcomes, with non-profit organisations reporting higher adoption levels than local government entities. Stakeholders reported that commonly implemented recommendations included enhanced lighting, inclusive signage, additional seating, and youth-focused amenities such as murals, free Wi-Fi, and gender-neutral toilets. The average youth-friendliness score increased from 4.7 to 7.5 out of 10 following implementations, reflecting tangible improvements in accessibility, inclusivity, and youth engagement. Despite these gains, several barriers limited full implementation. Local government stakeholders cited procedural delays, regulatory frameworks, and funding cycles tied to long- term planning. At the same time, non-profits stakeholders faced constraints such as property ownership and limited influence over shared spaces. Challenges related to timing, staffing capacity, and the absence of follow-up mechanisms were also reported. Stakeholders recomended integrating youth input in the design process earlier, as several audits occurred after key planning phases. Feedback on the audit process was largely positive, with high ratings for the clarity of recommendations and the tool's credibility. However, stakeholders advocated for refinements when recording the audit recommendations to capture young people's lived experiences better and sustain youth involvement beyond the initial audit phase. The research demonstrates that the ReVision Youth Audit framework contributes to meaningful improvements in public spaces especially for youth and reinforces the value of youth-informed urban design. This research provides practical guidance for enhancing youth engagement in urban planning and improving the long-term utility of participatory audit frameworks, based on an analysis of both the factors that enabled and those that constrained the implementation of audit recommendations.
The rapid classification of building damage states or placards after an earthquake is vital for enabling an efficient emergency response and informed decision-making for rehabilitation and recovery purposes. Traditional methods rely heavily on inspector-led on-site surveys, which are often time-consuming, resource-intensive, and susceptible to human error. This study introduces a machine learning-supported surrogate model designed to streamline the assessment of building damage, focusing on the automated assignment of damage placards within the context of New Zealand's post-earthquake evaluation frameworks. The study evaluates two key safety evaluation protocols—Rapid Building Assessment (RBA) and Detailed Damage Evaluation (DDE)—and integrates corresponding databases derived from the 2010–2011 Canterbury Earthquake Sequence (CES) in Christchurch. Six ML classifiers—Multilayer Perceptron (MLP), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbours (KNN), Gradient Boosting Classifier (GBC), and Gradient Bagging (GBag)—were rigorously tested across both databases. The results indicate that the RF-based surrogate model outperforms the other classifiers across both RBA and DDE protocols. Two distinct sets of critical predictors have been further identified for each protocol, allowing for the rapid retrieval of essential data for future on-site surveys, while retaining the RF model's predictive accuracy. The developed surrogate model provides a pragmatic tool for practising engineers to rapidly assign placards to damaged structures and for policymakers and building owners to make informed recovery decisions for earthquake-affected buildings
Under the framework of New Public Management, the government has decentralised the responsibility for Disaster Risk Management (DRM) to regional, local, and community levels in New Zealand. This decentralisation serves political agendas related to resource allocation and is supported by empirical evidence suggesting that involving communities in DRM during recovery decision-making enhances disaster resilience. Extensive evidence indicates that community participation in DRM, especially during recovery decision-making, can significantly improve recovery outcomes at the community level. However, there has been limited research into whether the legal framework in New Zealand effectively facilitates meaningful public engagement to empower the public in influencing disaster recovery decisions. To address this gap in the literature, this thesis aims to explore the extent to which legislative and governance arrangements transfer the responsibility, liability, and costs of managing disaster risks to local levels without enabling meaningful public contribution to and influence on recovery decisions affecting them. Situated within Public Law and Disaster Risk and Resilience disciplines and using a case study of Greater Christchurch, New Zealand, this interdisciplinary thesis examines both common law and statutory provisions in the legal framework impacting public engagement before and during recovery from the Canterbury Earthquake Sequence. In particular, this thesis assesses how legislative, and governance frameworks influenced communities’ ability to influence recovery decision-making following the 2010-2011 Canterbury Earthquake Sequence (CES). This thesis shows that before the CES, the New Zealand public engagement system closely adhered to the common law principle of the ‘duty to consult’, which remains the current legal standard. This principle required decision-makers to use the 'public notice and comment' approach as a minimum, limiting meaningful community participation in decision-making. After the earthquakes, reliance on this traditional approach caused growing frustration and division locally, as the public struggled to effectively engage in and influence recovery decisions, resulting in new community activism. The Canterbury Earthquake Recovery Act (CER Act), introduced following the Christchurch Earthquake, included innovative provisions on public engagement. However, for various reasons, this Act appeared to have minimal impact on meaningful public engagement in recovery decision-making, which continued to align with the broader, existing public engagement system and associated norms. The empirical findings indicate that despite the novel legislative language, the traditional public engagement framework in New Zealand constrained effective engagement, leading to a broader erosion of trust between the public and the government. This was largely attributed to the default ‘public notice and comment’ approach at the local government level, with inadequate mechanisms for community engagement in central government decision-making shaping the expectations of recovery decision-makers still operating within this framework. Notable departures from this traditional approach were evident in the practices of the Waimakariri District Council and Christchurch City Council. Particularly noteworthy was the ‘Share an Idea’ public engagement campaign. Unlike conventional processes, it did not commence with a near-final or draft document. Instead, it utilised participatory mechanisms that fostered meaningful dialogue, enabling the public to significantly shape the content of the draft Christchurch Central Recovery Plan. The initial success of such participatory engagement underscores its potential effectiveness throughout the entire recovery planning process, an option that was not exercised by the central government. In conclusion, this thesis argues that New Zealand should move beyond the entrenched ‘public notice and comment’ approach and adopt more open and inclusive public participation mechanisms. It contends that supplementing this approach with proactive participatory methods before disasters could yield favorable outcomes during disaster recovery, thereby ensuring meaningful public involvement in future decisions that affect communities.
Many contemporary urban communities are challenged by increased flood risks and rising temperatures, declining water quality and biodiversity, and reduced mental, physical, cultural and social wellbeing. The development of urban blue-green infrastructure (BGI), defined as networks of natural and semi-natural blue-green spaces which enable healthy ecosystem processes, has been identified as one approach to mitigate these challenges and enable more liveable cities. Multiple benefits associated with urban BGI have been identified, including reduced flood risk and temperatures, improved water quality and biodiversity, enhanced mental and physical wellbeing, strengthened social cohesion and sense of place, and the facilitation of cultural connections and practices. However, socio-cultural benefits have tended to be neglected in BGI research and design, resulting in a lack of awareness of how they may be maximised in BGI design. As such, this research sought to understand how BGI can best be designed to enable liveable cities. Four questions were considered: (i) what benefits are associated with urban BGI, (ii) how does the design process influence the benefits achieved by BGI, (iii) what challenges are encountered during BGI design, and (iv) how might the incorporation of communities and Indigenous knowledge into BGI research and design enhance current understandings and applications of urban BGI? To address these questions, a mixed methods case study approach was employed in Ōtautahi Christchurch and Kaiapoi. The four selected case studies were Te Oranga Waikura, Wigram Basin, Te Kuru and the Kaiapoi Honda Forest. The cases are all council owned urban wetlands which were primarily designed or retrofitted to reduce urban flood risks following the Canterbury Earthquake Sequence. To investigate BGI design processes in each case, as well as how communities interact with, value and benefit from these spaces. BGI projects were found to be designed by interdisciplinary design teams driven by stormwater engineers, landscape architects and ecologists which prioritised bio-physical outcomes. Further, community and Indigenous engagement approaches closely resembled consultation, with the exception of Te Kuru which employed a co-design approach between councils and Indigenous and community groups. This co-design approach was found to enhance current understandings and applications of urban BGI, while uncovering multiple socio-cultural values to be incorporated into design, such as access to cultural healing resources, increased community connections to water, and facilitating cultural monitoring methodologies and citizen science initiatives. Communities frequently identified the opportunity to connect with natural environments and enhanced mental and physical wellbeing as key benefits of BGI. Conversely, strengthened social cohesion, sense of place and cultural connections were infrequently identified as benefits, if at all. This finding indicates a disconnect between the bio-physical benefits which drive BGI design and the outcomes which communities value. As such, there is a need for future BGI design to more fully consider and design for socio- cultural outcomes to better enable liveable cities. To better design BGI to enhance urban liveability, this research makes three key contributions. First, there is a need to advance current approaches to transdisciplinary design to better account for the full scope of perspectives and values associated with BGI. Second, there is a need to transition towards relational co-design with Indigenous and community groups and knowledge. Third, it is important to continue to monitor, reflect on and share both positive and negative BGI design experiences to continually improve outcomes. The incorporation of social and cultural researchers, knowledges and perspectives into open and collaborative transdisciplinary design teams is identified as a key method to achieve these opportunities.
The devastating consequences of past events, such as the 2004 Indian Ocean and 2011 Tōhoku tsunamis, emphasise the need for continued improvement in resilience measures. Given that 80% of magnitude 8+ earthquakes occur on the Pacific Rim, New Zealand's tsunami risk is significant. This research develops a novel tsunami inundation model. The proposed model applies equations based on hydraulic principles, including energy conservation (friction loss). While it does not fully replicate hydrodynamic models, it maintains a two-dimensional approach and offers significant improvements over currently implemented simplified methods. It retains excellent computational efficiency (seconds to minutes) while achieving a significant increase in accuracy that is comparable to traditional hydrodynamic models, which typically take hours to days. Calibration of the roughness input variables to hydrodynamic modelling at Gisborne and Christchurch, New Zealand, optimised the model to achieve similarity index values of above 84% for inundation extent, while 77% of inundation depths were within ±1 m and over 93% within ±2 m. This research then produces the first nationally consistent tsunami exposure assessment for New Zealand using a physics-based modelling method. Using probabilistic shoreline wave amplitude data, the study generates high-resolution (10 m) inundation maps for seven return periods (50th and 84th percentiles). These maps are integrated with land cover and infrastructure data to quantify exposure and identify the most vulnerable locations. The results highlight exposure not only to the commonly studied cities but also to several provincial areas. The identification of exposure is the foremost step towards practical resilience efforts; however, understanding specific infrastructure impacts ensures that countermeasures and risk reduction practices are implemented. Therefore, a detailed evaluation of the NZTA Bridge Manual is conducted. Comparisons are made between the NZTA methodology and the rapid model developed in this research. The results reveal a significant overestimation of bridge and culvert exposure by NZTA methods. The study further highlights critical exposure locations for bridge and culvert assets. Flow depths calculated at bridge locations are significantly overestimated using the NZTA method compared to results derived from hydrodynamic modelling and the rapid model. This research then conducts component-level modelling of culvert assets, due to their identified vulnerability in the transportation network. At a 1:15 geometrical scale, laboratory experiments evaluated the response of different culvert set-ups to tsunami bores. The findings provide a detailed description into overtopping, flow regimes and pressure distributions and give laboratory experiments as validation studies for future numerical modelling and design improvements. Overall, this research performs a multi-modal tsunami inundation assessment, uniting macro-level exposure modelling with micro-level component responses by integrating modelling, exposure analysis, and experimental validation. The findings support refining current tsunami guidelines, improving infrastructure planning, and enhancing community preparedness. Overall, the study’s multi-model approach strengthens many elements of New Zealand’s ability to mitigate and respond to future tsunami events
