This dissertation explores the advocacy for the Christchurch Town Hall that occurred in 2012-2015 after the Canterbury Earthquakes. It frames this advocacy as an instance of collective-action community participation in a heritage decision, and explores the types of heritage values it expressed, particularly social values. The analysis contextualises the advocacy in post-quake Christchurch, and considers its relationship with other developments in local politics, heritage advocacy, and urban activism. In doing so, this dissertation considers how collective action operates as a form of public participation, and the practical implications for understanding and recognising social value. This research draws on studies of practices that underpin social value recognition in formal heritage management. Social value is held by communities outside institutions. Engaging with communities enables institutions to explore the values of specific places, and to realise the potential of activating local connections with heritage places. Such projects can be seen as participatory practices. However, these processes require skills and resources, and may not be appropriate for all places, communities and institutions. However, literature has understudied collective action as a form of community participation in heritage management. All participation processes have nuances of communities, processes, and context, and this dissertation analyses these in one case. The research specifically asked what heritage values (especially social values) were expressed through collective action, what the relationship was with the participation processes, communities, and wider situation that produced them, and the impact on institutional rhetoric and decisions. The research analysed values expressed in representations made to council in support of the Town Hall. It also used documentary sources and interviews with key informants to analyse the advocacy and decision-making processes and their relationships with the wider context and other grassroots activities. The analysis concluded that the values expressed intertwined social and professional values. They were related to the communities and circumstance that produced them, as an advocacy campaign for a civic heritage building from a Western architectural tradition. The advocacy value arguments were one of several factors that impacted the decision. They have had a lasting impact on rhetoric around the Town Hall, as was a heritage-making practice in its own right. This dissertation makes a number of contributions to the discussion of social value and community in heritage. It suggests connections between advocacy and participation perspectives in heritage. It recommends consideration of nuances of communities, context, and place meanings when using heritage advocacy campaigns as evidence of social value. It adds to the literature on heritage advocacy, and offers a focused analysis of one of many heritage debates that occurred in post-quake Christchurch. Ultimately, it encourages practice to actively integrate social and community values and to develop self-reflexive engagement and valuation processes. Despite inherent challenges, participatory processes offer opportunities to diversify understandings of value, co-produce heritage meanings with communities, and empower citizens in democratic processes around the places they live with and love.
The research is funded by Callaghan Innovation (grant number MAIN1901/PROP-69059-FELLOW-MAIN) and the Ministry of Transport New Zealand in partnership with Mainfreight Limited. Need – The freight industry is facing challenges related to climate change, including natural hazards and carbon emissions. These challenges impact the efficiency of freight networks, increase costs, and negatively affect delivery times. To address these challenges, freight logistics modelling should consider multiple variables, such as natural hazards, sustainability, and emission reduction strategies. Freight operations are complex, involving various factors that contribute to randomness, such as the volume of freight being transported, the location of customers, and truck routes. Conventional methods have limitations in simulating a large number of variables. Hence, there is a need to develop a method that can incorporate multiple variables and support freight sustainable development. Method - A minimal viable model (MVM) method was proposed to elicit tacit information from industrial clients for building a minimally sufficient simulation model at the early modelling stages. The discrete-event simulation (DES) method was applied using Arena® software to create simulation models for the Auckland and Christchurch corridor, including regional pick-up and delivery (PUD) models, Christchurch city delivery models, and linehaul models. Stochastic variables in freight operations such as consignment attributes, customer locations, and truck routes were incorporated in the simulation. The geographic information system (GIS) software ArcGIS Pro® was used to identify and analyse industrial data. The results obtained from the GIS software were applied to create DES models. Life cycle assessment (LCA) models were developed for both diesel and battery electric (BE) trucks to compare their life cycle greenhouse gas (GHG) emissions and total cost of ownership (TCO) and support GHG emissions reduction. The line-haul model also included natural hazards in several scenarios, and the simulation was used to forecast the stock level of Auckland and Christchurch depots in response to each corresponding scenario. Results – DES is a powerful technique that can be employed to simulate and evaluate freight operations that exhibit high levels of variability, such as regional pickup and delivery (PUD) and linehaul. Through DES, it becomes possible to analyse multiple factors within freight operations, including transportation modes, routes, scheduling, and processing times, thereby offering valuable insights into the performance, efficiency, and reliability of the system. In addition, GIS is a useful tool for analysing and visualizing spatial data in freight operations. This is exemplified by their ability to simulate the travelling salesman problem (TSP) and conduct cluster analysis. Consequently, the integration of GIS into DES modelling is essential for improving the accuracy and reliability of freight operations analysis. The outcomes of the simulation were utilised to evaluate the ecological impact of freight transport by performing emission calculations and generating low-carbon scenarios to identify approaches for reducing the carbon footprint. LCA models were developed based on simulation results. Results showed that battery-electric trucks (BE) produced more greenhouse gas (GHG) emissions in the cradle phase due to battery manufacturing but substantially less GHG emissions in the use phase because of New Zealand's mostly renewable energy sources. While the transition to BE could significantly reduce emissions, the financial aspect is not compelling, as the total cost of ownership (TCO) for the BE truck was about the same for ten years, despite a higher capital investment for the BE. Moreover, external incentives are necessary to justify a shift to BE trucks. By using simulation methods, the effectiveness of response plans for natural hazards can be evaluated, and the system's vulnerabilities can be identified and mitigated to minimize the risk of disruption. Simulation models can also be utilized to simulate adaptation plans to enhance the system's resilience to natural disasters. Novel contributions – The study employed a combination of DES and GIS methods to incorporate a large number of stochastic variables and driver’s decisions into freight logistics modelling. Various realistic operational scenarios were simulated, including customer clustering and PUD truck allocation. This showed that complex pickup and delivery routes with high daily variability can be represented using a model of roads and intersections. Geographic regions of high customer density, along with high daily variability could be represented by a two-tier architecture. The method could also identify delivery runs for a whole city, which has potential usefulness in market expansion to new territories. In addition, a model was developed to address carbon emissions and total cost of ownership of battery electric trucks. This showed that the transition was not straightforward because the economics were not compelling, and that policy interventions – a variety were suggested - could be necessary to encourage the transition to decarbonised freight transport. A model was developed to represent the effect of natural disasters – such as earthquake and climate change – on road travel and detour times in the line haul freight context for New Zealand. From this it was possible to predict the effects on stock levels for a variety of disruption scenarios (ferry interruption, road detours). Results indicated that some centres rather than others may face higher pressure and longer-term disturbance after the disaster subsided. Remedies including coastal shipping were modelled and shown to have the potential to limit the adverse effects. A philosophical contribution was the development of a methodology to adapt the agile method into the modelling process. This has the potential to improve the clarification of client objectives and the validity of the resulting model.
