Sir Miles Warren and Maurice Mahoney were architectural revolutionaries who built a legendary partnership spanning 37 years. A new film currently in production aims to celebrate their incredible legacy and document the bitter fight to save their most iconic building - the Christchurch Town Hall - from demolition after the 2011 earthquake. Co-director and Maurice's daughter Jane Mahoney talks to Mark Leisham about the pairs legacy and the process of making the film.
<b>Aotearoa has undoubtedly some of the most beautiful landscapes in the world, a privilege for its inhabitants. However, as our cities have developed post-colonisation, the connection between the natural environment and its occupants has diminished. Designers play a vital role within an ever evolving world to progress the built environment in a way that reflects and restores vital values that have been deprioritised. Future practice should prioritise diversity, care for the land, enhancement of community space, and sustainable practices.</b>
This research sets out to demonstrate that new design methodologies can encourage kaitiakitanga, whilst meeting the needs of urban public space. Initially through critical analysis and literature based research, a study of Ōtautahi Christchurch, the South Island’s largest city, was undertaken. The principles of a ‘15 minute city’ were also explored and applied to the city, establishing issues within the built environment that drove the overall research direction.
Through the tools of critical reflection and a research through design methodology, a design toolkit was constructed. This toolkit sets out to provide designers with a simple streamlined method of developing urban interventions that are sustainable and beneficial for human well-being. The toolkit incorporates an abstraction of the ‘15 minute city’ ideology and introduces the concepts of evolving green transportation routes within cities. Ōtautahi Christchurch, a city with a significant history of earthquake-caused damage, was chosen as the primary site for the application of this research’s proposed toolkit. The city becomes a canvas for an urban rebuild that explores and aims to set a precedent for a progressive 21st-century city.
A key finding as the toolkit research developed was the idea of a ‘temporary’ phase or intervention, being added to traditional design methodologies prior to permanent building. The research explains how this temporary phase could more actively engage diverse user groups and create active conversations between communities and designers.
The refined toolkit sets outs proposed timeline phases, methods of site analysis and development of design drivers. Alongside this, a modular architectural system establishes a design proposal for the temporary phase of an individual site within an evolving green route. This outcome provides further opportunity for realistic testing, which would actively involve communities and aims to shift our priorities within urban development. The introduction of the ‘temporary’ phase is beneficial in mitigating psychological implications on people and limiting physical impacts on the landscape.
The final design stage of the thesis applied the toolkit process to three sites in Ōtautahi Christchurch. Through a holistic lens, the toolkit framework set out methods to collate information that provides guidance for development on the sites. While some layers are initiated simply by recognising site characteristics, others are informed through software such as GIS.
Connected by a proposed green transport route, the three initial sites are developed with temporary interventions that utilise the modular design set out previously in the research. Contextualising the interventions on real world sites tested the flexibility of the system and allowed for critical reflection on the applicability of the toolkit to Aotearoa.
The research concludes by identifying future research opportunities and speculates on possible applications of its findings within the real world. Temporary Permanence highlights the significant role that we, as designers, have in shifting urban priorities to create more holistic, sustainable, and inclusive cities for people and the planet.
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.
