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    <title>OAR@UM Collection:</title>
    <link>https://www.um.edu.mt/library/oar/handle/123456789/55465</link>
    <description />
    <pubDate>Wed, 15 Apr 2026 17:48:16 GMT</pubDate>
    <dc:date>2026-04-15T17:48:16Z</dc:date>
    <item>
      <title>Climate change vulnerability ranking of coastal roads in Malta using multi-criteria methods</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/55704</link>
      <description>Title: Climate change vulnerability ranking of coastal roads in Malta using multi-criteria methods
Abstract: The ranking of coastal roads according to their vulnerability to climate change is a&#xD;
complex issue. In order to increase the quality of life and community sustainability, the&#xD;
environmental and social sustainability of coastal roads must also be considered. Indicators of&#xD;
vulnerability are profiled, on the IPCC-based vulnerability concept and defined as a function&#xD;
of Climate Exposure, Sensitivity and Adaptive Capacity. These dimensions need to be&#xD;
considered during the ranking process and can be modelled as a Multiple Criteria Decision&#xD;
Making (MCDM) problem. This study proposes an approach which integrates the results of&#xD;
different MCDM methods to provide a ranking model for climate change vulnerability of&#xD;
coastal roads in Malta. This approach combines six objective weighting methods made up of&#xD;
eleven climate change vulnerability indicators and applies them to rank the climate change&#xD;
vulnerability of six coastal roads using five MCDM methods. The results indicate different&#xD;
rankings. Following this initial phase two other MCDM methods were used to provide a&#xD;
definitive ranking. The results indicate that the proposed approach can integrate the&#xD;
inconsistent evaluation results of different MCDM methods and produce a coherent ranking of&#xD;
climate change vulnerability of coastal roads. The study provides policy and decision makers&#xD;
with a definition of a coastal road, an inventory of such roads, a list of climate change impacts&#xD;
and a mathematical model that incorporates climate change vulnerability indicators. The model&#xD;
can be used to prioritise investment and plan climate change adaptation strategies for&#xD;
infrastructural works on coastal roads.
Description: M.SC.SUS.DEVELOPMENT</description>
      <pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://www.um.edu.mt/library/oar/handle/123456789/55704</guid>
      <dc:date>2019-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Food, gender and climate change</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/55697</link>
      <description>Title: Food, gender and climate change
Abstract: The choices we make about the food we eat have major ramifications on personal human health&#xD;
and global ecological health. Food production occupies more than one third of global land areas&#xD;
and accounting for ~30% of total greenhouse gas emissions (GHGE) of which 80% is livestock,&#xD;
collectively intensify climate change. Simultaneously, food ecosystems shape an oxymoron of&#xD;
overconsumption with diet-related noncommunicable diseases being the number one health&#xD;
burden, alongside underconsumption of one billion hungry people, all compounded by food losses&#xD;
and waste. Thereby, floating the question of the sustainability of diets.&#xD;
For the study, representative national nutrition datasets on food production and consumption in the&#xD;
Malta, Brazil, Australia, India and Zambia were used with metanalysis food emission estimates.&#xD;
Four variant diets of vegan, vegetarian, World Health Organisation (WHO) recommended diet and&#xD;
Food and Agriculture (FAO) reference diet scenarios modelled for 2050 projections with the&#xD;
reference year 2005/7. Life cycle assessment (LCA) quantified diet-related emissions of animal&#xD;
and plant- based foods and global warming potential (GWP) assessed emissions from land use&#xD;
along three inventory indicators of ammonia emissions, land use and blue water within cradle-tostore&#xD;
system boundaries with a special focus on gender. The study found that none of the case&#xD;
studies can meet the FAO projections by 2050 showing a dire need for current diet transition. WHO&#xD;
diets would cut GHGE by 31.2%, vegetarian (66%); vegan (74%). The GWP is higher in men all&#xD;
countries due to a higher share of red meat. The largest absolute environmental benefits result from&#xD;
diet shifts in Zambia and India whereas Australia, Malta and Brazil gain most in per capita terms&#xD;
In conclusion, red meat GHGE is nearly twice those of vegans, therefore reduced red meat&#xD;
consumption substantially reduces dietary GHGE. The study also shows that within one society&#xD;
two distinct diets with differential environmental impacts exist. Taking the interplay of culture and&#xD;
physiology among the genders can develop Climate Change adaptation and mitigation policies for&#xD;
operative interventions allowing sustainable diets with reduced GHGE. Limitations in the study&#xD;
were the system boundaries that restricted to set of environmental indicators and only English&#xD;
literature reviewed. Future work should delve into the epidemic of counterfeit foods fuelled by&#xD;
demand for processed foods with implications on the environment, health and economies.
Description: M.SC.SUS.DEVELOPMENT</description>
      <pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
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      <dc:date>2019-01-01T00:00:00Z</dc:date>
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