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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://theses.ncl.ac.uk/jspui/handle/10443/73" />
  <subtitle />
  <id>http://theses.ncl.ac.uk/jspui/handle/10443/73</id>
  <updated>2026-07-28T13:05:24Z</updated>
  <dc:date>2026-07-28T13:05:24Z</dc:date>
  <entry>
    <title>Assessing benefits and opportunities from tree planting in the southern agricultural growth corridor of Tanzania</title>
    <link rel="alternate" href="http://theses.ncl.ac.uk/jspui/handle/10443/6842" />
    <author>
      <name>Durrant, Eleanor Sarah</name>
    </author>
    <id>http://theses.ncl.ac.uk/jspui/handle/10443/6842</id>
    <updated>2026-07-10T14:32:03Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Assessing benefits and opportunities from tree planting in the southern agricultural growth corridor of Tanzania
Authors: Durrant, Eleanor Sarah
Abstract: Ecosystem restoration is seen as essential for conserving forests, preserving biodiversity, &#xD;
and addressing climate change. However, achieving e ective and equitable restoration &#xD;
requires integrating social considerations to better understand and manage trade-o s &#xD;
that arise from these interventions. This thesis addresses the need for a more inclusive &#xD;
approach to tree-cover restoration by examining methods that incorporate local &#xD;
perspectives and preferences into restoration planning. &#xD;
Firstly, I map the global evidence on participatory scenarios in ecological restoration to &#xD;
understand their role in assessing trade-o s across restoration outcomes. The findings &#xD;
suggest that participatory scenarios enable the integration of diverse knowledge types &#xD;
and methods, yet their impact on restoration planning remains unclear. Then, through &#xD;
participatory scenarios with smallholder farmers and a sentiment analysis, I explored &#xD;
farmers' preferences and attitudes toward tree-cover restoration in Tanzania’s Kilombero &#xD;
Valley. Farmers' desired outcomes diverge from current restoration policies and plans &#xD;
that emphasise exclusionary protected areas, underscoring the importance of &#xD;
participatory planning approaches that align with local aspirations. Lastly, I investigate &#xD;
how homegarden agroforestry and sugarcane contract farming contribute to household &#xD;
resilience to climate change. Both farming strategies can positively and negatively a ect &#xD;
livelihood resilience as smallholders grapple with trade-o s from limited land, costs of &#xD;
planting and maintaining, and risks to livelihood outcomes. Farmers have cleared trees &#xD;
from their plots for sugarcane, leading to a concentration of farmers' trees within &#xD;
homegardens, suggesting that homegardens may be important for ensuring the direct &#xD;
benefits of trees for smallholders and conserving aboveground carbon stocks. &#xD;
Overall, this thesis argues that agroforestry o ers a promising strategy to enhance &#xD;
livelihood diversity and resilience. However, achieving equitable restoration requires &#xD;
recognising and addressing the trade-o s and preferences of all stakeholders. I advocate &#xD;
for a broader methodological approach that combines diverse data types and &#xD;
participatory methods to ensure that tree-cover restoration e orts align more closely &#xD;
with the needs and values of local communities.
Description: PhD Thesis</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A geospatial  modelling framework to simulate future scenarios of urban form : a case study in Phnom Penh, Cambodia</title>
    <link rel="alternate" href="http://theses.ncl.ac.uk/jspui/handle/10443/6841" />
    <author>
      <name>Burke, Richard Francis</name>
    </author>
    <id>http://theses.ncl.ac.uk/jspui/handle/10443/6841</id>
    <updated>2026-07-10T13:31:35Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: A geospatial  modelling framework to simulate future scenarios of urban form : a case study in Phnom Penh, Cambodia
Authors: Burke, Richard Francis
Abstract: Urbanisation is proliferating globally, with the majority of the world’s population now&#xD;
living in urban areas. This rapid urban growth places significant pressure on cities&#xD;
to expand, often leading to physical expansion rates that outpace population growth.&#xD;
This growth is particularly pronounced in developing regions, where it poses numerous&#xD;
challenges. Urban growth modelling offers decision-makers a valuable tool to under&#xD;
stand the complexities of urban dynamics, anticipate future transformations, and design&#xD;
sustainable and liveable cities. However, existing modelling approaches have largely&#xD;
focussed on large-scale, rasterised, and gridded projections of urban expansion that&#xD;
lack relevance and specificity to the regions being modelled. Furthermore, the models&#xD;
lack a systematic assessment procedure and there has been insufficient attention to&#xD;
generating detailed urban form layouts. To address these gaps, it is essential to use&#xD;
vector data at finer spatial scales to enhance contextual relevance and apply robust&#xD;
assessment methodologies that improve model credibility. Additionally, generating fu&#xD;
ture urban form layouts in developing regions is critical for informed urban planning.&#xD;
Therefore, this PhD thesis aims to develop a geospatial modelling framework to simu&#xD;
late, explore and characterise future urban form scenarios.&#xD;
Phnom Penh, Cambodia, was selected as a case study due to its rapid urban expan&#xD;
sion, data-scarce environment, and the relatively small proportion of built-up area. The&#xD;
framework employs two state-of-the-art techniques: agent-based modelling (ABM) and&#xD;
generative adversarial networks (GAN). The ABM replicates the urban development&#xD;
process basedonacademic literature and governmentreports, representingkeyactors,&#xD;
such as urban planners, property developers, and landowners, involved in this process&#xD;
as agents to simulate future urban growth. This ABM undergoes a thorough and sys&#xD;
tematic evaluation process, including stabilisation analysis, calibration and validation,&#xD;
and sensitivity analysis, to ensure its robustness. Dasymetric mapping is performed&#xD;
to convert the ABM’s development probability outputs into a raster of future develop&#xD;
ment demand density. The GAN then uses this future development density to perform&#xD;
image-to-image translation, converting a density raster into future road network layouts&#xD;
and subsequent building footprints based on the previously generated road network.&#xD;
The generated urban form outputs are then assessed against ground truth urban form&#xD;
using a range of pixel and vector-based accuracy metrics to identify the best-performing&#xD;
GAN experiment for future urban form generation.&#xD;
iii&#xD;
The ABM simulated five urban growth scenarios in Phnom Penh by 2040 which range&#xD;
from low to high growth under regulated and unregulated conditions. These scenarios&#xD;
are based on likely socioeconomic forecasts from grey literature and are variations of&#xD;
the baseline simulation. The evaluation protocol’s stabilisation analysis revealed that&#xD;
the ABM’s stochastic behaviour was effectively captured after 240 model runs. The&#xD;
ABM achieved good performance in calibration, achieving area-weighted fuzzy kappa&#xD;
simulation values of 0.241 in calibration and 0.509 in validation showing sufficient per&#xD;
formance for future simulation. The sensitivity analysis explored 8 model variables and&#xD;
determined their importance, interactions, and polarity with the fuzzy kappa simulation&#xD;
output, ensuring model credibility. The best performing GAN for road network gener&#xD;
ation in the study area achieved a mean absolute error of 40.96%. Whilst the best&#xD;
performing GANs for building footprint generation in the study area achieved mean&#xD;
absolute errors of 54.29% and 29.48%. The baseline or business as usual future sim&#xD;
ulation from the ABM projects 18.04 km2 of new urban area by 2040 in the study area.&#xD;
For urban form, this results in 227.68 km of new roads and 26,521 new building foot&#xD;
prints, this represents a 71.52% increase in road networks and 106.63% in building&#xD;
footprints from the 2023 urban form. These projections indicate large increases in new&#xD;
urban area and urban form over the following decades.&#xD;
The ABM scenarios achieve varied and distinct patterns of growth, with differing loca&#xD;
tions and probabilities of growth, demonstrating the ABM is responsive to variations in&#xD;
the input variables. The evaluation protocol highlighted issues with separating the cal&#xD;
ibration and validation period in equal temporal periods and weaknesses of the fuzzy&#xD;
kappa simulation as a result of this. The protocol could be developed further by employ&#xD;
ing explicit spatiotemporal sensitivity analyses to enhance model understanding in the&#xD;
study area. GANsaredemonstrated to be afeasible and practical technique in creating&#xD;
realistic and convincing future urban form that integrate seamlessly with existing lay&#xD;
outs. However, GAN training performance was sensitive to input image resolution and&#xD;
content and they do generally underestimate urban form features. Overall, this PhD&#xD;
thesis advances urban growth modelling approaches by presenting a novel geospatial&#xD;
modelling framework as a new standard in the field, which can be easily re-applied in&#xD;
other data-scarce areas experiencing rapid growth. It has strong implications for aca&#xD;
demic researchers, policy makers, and practitioners. It offers an innovative approach&#xD;
to generating future urban form with multidisciplinary applications in natural disaster&#xD;
preparedness, urban planning, and transportation modelling
Description: PhD Thesis</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>The research and optimisation of efficient, low cost, ultra high speed PM machines</title>
    <link rel="alternate" href="http://theses.ncl.ac.uk/jspui/handle/10443/6836" />
    <author>
      <name>Hu, Mingzhe</name>
    </author>
    <id>http://theses.ncl.ac.uk/jspui/handle/10443/6836</id>
    <updated>2026-07-03T10:43:47Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: The research and optimisation of efficient, low cost, ultra high speed PM machines
Authors: Hu, Mingzhe
Abstract: Manufacturers of electric motors for industrial products are often able to lead the market by &#xD;
placing a focus on high speed, compact, low weight and low cost designs which maintain a &#xD;
high motor efficiency. The current generation of battery powered electric drives for domestic &#xD;
products consists of a power-dense high-speed permanent magnet brushless DC motor which &#xD;
is controlled by a high efficiency digital drive to spin the rotor at over 100,000rpm.  &#xD;
The purpose of this project is to pursue a new type of mains powered high-speed (150,000rpm) &#xD;
highly efficient (&gt;85%) motor, from development of fundamental theory and modelling to a &#xD;
carefully designed prototype, matched to a given requirement, and practically validated as a &#xD;
fully built prototype tested in excess of the designed speed. The targeted motor input power is &#xD;
750W. &#xD;
A thorough literature review is conducted to view all possible motor types. A permanent &#xD;
magnet brushless DC motor is preferred due to its advantages of high power density, compact &#xD;
size and reliable high speed operation. A hybrid simulation approach which combines the &#xD;
advantages of both analytical simulation and finite element simulation is utilised. Precise loss &#xD;
estimation is investigated to support the creation of an analytical simulation model. The &#xD;
accuracy of the constructed analytical simulation model is validated by 3-dimensional finite &#xD;
element modelling. &#xD;
This project puts particular focus on motor per unit material cost with design for mass&#xD;
production in mind. The elimination of high performance but costly motor raw materials, such &#xD;
as high residual flux density rare-earth permanent magnets, low loss density amorphous steels &#xD;
and stranded wires, while still keeping the same level of motor performance in ultra-high speed &#xD;
applications, becomes the biggest challenge in this project.
Description: Ph. D. Thesis.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Designing digital technology to empower climate-sensitive food purchases</title>
    <link rel="alternate" href="http://theses.ncl.ac.uk/jspui/handle/10443/6815" />
    <author>
      <name>Benthem De Grave, Remco Martijn</name>
    </author>
    <id>http://theses.ncl.ac.uk/jspui/handle/10443/6815</id>
    <updated>2026-06-12T14:13:27Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Title: Designing digital technology to empower climate-sensitive food purchases
Authors: Benthem De Grave, Remco Martijn
Abstract: A shift towards climate-sustainable diets is essential to achieve climate targets and mitigate&#xD;
disaster risks. Despite many people valuing climate-sensitive behaviours, a lack of knowledge&#xD;
and skill undermines action. Digital technology can aid this transition but faces ethical concerns&#xD;
with persuasive methods that may undermine autonomy. Also, prevalent design decisions may&#xD;
not always align well with actual usage patterns, which may undermine the potential of designs.&#xD;
This thesis examines how to design digital technology that supports climate-sustainable diets&#xD;
while addressing these considerations.&#xD;
The study includes:&#xD;
• A systematic literature review on opportunities and challenges of food purchase choice&#xD;
applications.&#xD;
• Three empirical design chapters detailing participatory input and theory-driven proce&#xD;
dures culminating in ’MyFoodprint’, an app prototype tested in real-world settings.&#xD;
• Atheoretical debate on protecting individual autonomy with behaviour change design.&#xD;
Key insights reveal:&#xD;
• Digital tools should focus on educating users about ’foodprint’ tailored to their purchasing&#xD;
behaviour.&#xD;
• To preserve autonomy, attempts to motivate behaviours directly are best avoided.&#xD;
• Design should not rely on consistent or long-term use.&#xD;
• Positive support for the potential of MyFoodprint to empower sustainable choices.&#xD;
• The use of word clouds visualizing product contributions to one’s overall foodprint ap&#xD;
peared particularly effective alongside support for finding alternative products.&#xD;
• Indirect benefits included sparking discussions around foodprint.&#xD;
iii&#xD;
Contributions include:&#xD;
• Design implications from various study designs, including field observations.&#xD;
• Insights into the practical and ethical feasibility of different design options.&#xD;
• Theory-backed design artifacts available as resources for researchers.&#xD;
• Categorization of intervention techniques based on their alignment with autonomy.&#xD;
This work enhances understanding of how digital technology can empower individuals towards&#xD;
sustainable behaviours without compromising personal autonomy.
Description: PhD Thesis</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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