OAR@UM Community:/library/oar/handle/123456789/43482025-11-12T06:30:09Z2025-11-12T06:30:09ZUrban transformations in a Mediterranean island state : the case of Malta/library/oar/handle/123456789/1392482025-09-25T10:56:12Z2025-01-01T00:00:00ZTitle: Urban transformations in a Mediterranean island state : the case of Malta
Abstract: Land is a limited natural resource. One of the main land uses is related to settlement
development, which plays a central role in a myriad of human activities. The expansion
of these settlements is referred to as urban growth and generally happens at the expense
of natural and agricultural land cover. Measuring and understanding these growth
patterns is of vital importance for land management and planning. This need is more
accentuated in a small-island states given the scarcity of this resource. This study aims to
investigate urban growth in Malta and develop future trajectories for growth using data
retrieved from local development planning applications submitted to Malta’s Planning
Authority, the authority responsible for development control and planning in the islands.
A web scraping technique was used to extract data from the public online database and a
text mining approach was used to identify keywords implying urban growth from the
granted development planning applications’ descriptors. The study investigates the
different forms of urban growth happening over the last thirty years: infilling, edge-expansion and outlying development. These were used to test the applicability of the
Theory of Diffusion and Coalescence to the case of Malta. Moreover, the study looked at
various predictors of urban growth presented in the literature and determined, which of
these are those that are applicable to Malta’s case. These predictors were subsequently
used to model urban growth in Malta using logistic regression. The model developed
predicted simulations showing the areas likely to experience urban growth in future years.
In conclusion, the patterns determined in the study were analysed and discussed. The
outcomes of this work will lead to better measurement of urban growth in Malta and
concurrently provide new methods that can be used in the study of planning and land
management.
Description: Ph.D.(Melit.)2025-01-01T00:00:00ZExploring the geographical significance of street names in Malta/library/oar/handle/123456789/1384052025-08-26T10:28:36Z2025-01-01T00:00:00ZTitle: Exploring the geographical significance of street names in Malta
Abstract: This dissertation explores the geographical significance of different street naming themes in Malta. Focusing on the importance of location in the naming of streets, the study employs mixed-methods approach, including interviews, surveys and site visits. Interviews with experts provided deeper insights into street naming in Malta, including the naming process, expert opinions and suggestions. In contrast, questionnaires distributed to the general public gathered their perspectives on street name knowledge and their feelings about street names. Site visits further contributed to understanding the selected street naming themes and localities, while mapping these names allowed for an analysis of their concentration and spatial distribution. The results suggest a need for more initiatives to inform and raise public awareness about this topic. Additionally, patterns in the concentration of these street names were identified, showing that certain themes tend to cluster in specific localities, reflecting historical, cultural and functional influences.
Description: B.A. (Hons)(Melit.)2025-01-01T00:00:00ZToo far gone? : measuring the tourism attractiveness of Malta's most rural localities/library/oar/handle/123456789/1383452025-08-25T10:51:07Z2025-01-01T00:00:00ZTitle: Too far gone? : measuring the tourism attractiveness of Malta's most rural localities
Abstract: As with many popular European tourist destinations, Malta has increasingly been impacted by
the negative consequences associated with mass tourism. Given the country's small size and
high pressure on land-use, it has been particularly vulnerable to these effects. In response, the
country is seeking to shift towards alternative forms of tourism that support more manageable
growth and a sustainable tourism market. One such form is rural tourism, yet the potential for
Malta to be an attractive rural tourism destination remains under-explored. This research selects
the two most rural localities on the country’s main island and evaluates their attractiveness as
rural tourism destinations. Localities are selected by constructing a continuous rurality index
for the island. The two most rural localities are identified as L-Imġarr and Ħad-Dingli. A
hierarchical Multi-Criteria Decision Analysis (MCDA) model is developed to assess rural
tourism attractiveness through expert evaluation. Experts rank the importance of the model
variables and score them for each locality. The variables are weighted according to the rankings,
and the scores are then combined to produce an overall attractiveness score for each locality.
L-Imġarr outperforms Ħad-Dingli, receiving consistently high scores across all categories.
Ħad-Dingli, while scoring lower overall, excels in categories related to its natural resources.
Based on these findings, recommendations are provided for tourism planners and policymakers.
Description: B.A. (Hons)(Melit.)2025-01-01T00:00:00ZBeyond decibels : analysing community responses and mapping noise hotspots around Luqa airport/library/oar/handle/123456789/1270422024-10-01T08:00:31Z2024-01-01T00:00:00ZTitle: Beyond decibels : analysing community responses and mapping noise hotspots around Luqa airport
Abstract: This dissertation delves into the intricate web of community responses and noise
hotspots surrounding Luqa Airport, extending the discourse beyond conventional
decibel measurements. Focused on understanding the multifaceted impact of airport
noise on local residents, the study employs a mixed-methods approach combining
surveys, and noise mapping. Through questionnaires distributed to residents living
in the vicinity of Luqa Airport, perceptions of noise annoyance, coping mechanisms,
and communication effectiveness regarding noise reduction initiatives are
investigated. Spatial analysis techniques are employed to map noise hotspots,
identifying areas with heightened noise exposure and vulnerability. By transcending
traditional metrics and embracing a holistic perspective, this research contributes to
a deeper understanding of the complex dynamics between airport operations,
community perceptions, and environmental noise, paving the way for more effective
noise management policies and practices. The results suggested that there is a high
perception of noise among communities surrounding Luqa airport. Furthermore,
according to the results from the noise map, spots of high sound levels where
identified, some also in close proximity of the airport. This finding underscores the
urgent need for increased consideration and implementation of noise mitigation
measures to alleviate the negative impact of airport noise on affected communities.
Description: B.A. (Hons)(Melit.)2024-01-01T00:00:00Z