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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/0232FE08-BBD4-4403-8A06-7149E8FB27BB | ||
| Year | 2023 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Nikolas Koupatou, "Evacuation plan for vulnerable population in case of fire using GIS", Diploma Work, School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece, 2023 https://doi.org/10.26233/heallink.tuc.98571 | ||
| Appears in Collections |
In recent years, fires have become an increasingly alarming global phenomenon, posing significant threats to ecosystems, communities and economies around the world. The climate change, prolonged periods of drought and poor forest management have created conditions conducive to the rapid spread of devastating fires. In various parts of the world, fires have caused chaos, engulfing vast areas of forests, grasslands and urban fringes. These disasters have not only led to severe environmental degradation, but have also claimed lives, destroyed homes and disrupted livelihoods. The scale and frequency of wildfires have led to an increased need for international cooperation and resource sharing as nations are faced with the challenges of firefighting and disaster management. As wildfires continue to escalate in severity and scale, countries around the world face an urgent need to develop holistic strategies, including robust prevention plans, to mitigate the widespread impacts of these devastating natural disasters. The main objective of this thesis is to provide an evacuation plan for a vulnerable population in case of fire. The area of interest chosen is the settlement of Vamos which is located in the Municipality of Apokoronas. More specifically, concentrate on the units of the High School and the Health Center of the settlement. The Geographical Information Systems played a decisive role for the achievement of our goal, where through these systems the possible concentration points and escape routes for them were identified. Eight possible concentration points were selected for examination. For the evaluation of these points, specific criteria were set which are directly related to the areas and escape routes. Then, linear scales were developed to convert the quantitative data into scores ranging from 0 to 10 in order to make them comparable. Subsequently, the importance of each criterion was determined through the multicriteria method of Analytic Hierarchy Process (AHP). Finally, by combining the two methodologies, we formulated an Evacuation Assembly Point Index (EAPI) to determine the optimal evacuation point in the event of a fire emergency. The optimal assembly point is the one with the highest EAPI score.
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