Publicação
AI-Infused Smart Cities: Transforming Kosovo's Urban Landscape for Sustainable Growth
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Santos, Vítor Manuel Pereira Duarte dos | |
| dc.contributor.author | Hasani, Engjulla | |
| dc.date.accessioned | 2024-11-14T09:35:51Z | |
| dc.date.available | 2025-10-31T01:30:50Z | |
| dc.date.issued | 2024-10-31 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics | pt_PT |
| dc.description.abstract | The focus of this research is to apply artificial intelligence (AI) to design a new intelligent city in Kosovo. Specifically, it, in three areas sustainable urban development; traffic control efficiency; increased services for the public. This research follows the ideas of Design Science Research (DSR), using new solutions to comprehensively handle complicated city problems. After closely examining existing research, an analysis of the essential components of smart cities was made, including intelligent economics, mobility, environmental protection and improvement, population patterns and lifestyles as we know them now with the users themselves included in the design process. Drawing upon the work of both Hoxha and Pallaska, which is consistent with Sustainable Development Goals (SDGs), this thesis offers a tailored framework for Kosovo. Utilizing such a strategy, AI can improve automobile mobility accordingly through advanced decisions support systems. State-of-the- art fresh air filtering systems, one designed for urban and another for suburban conditions respectively, can quickly and thoroughly deal with pollutants in the atmosphere. A new model of waste management, in line with the sustainable development goals, must take advantage of AI to remain efficient. It must also put right overenthusiasm after too many mountains of salesman words to the on-site digestion; Until car media or owners are willing to accept low cost, bulky equipment that works mainly. The ethical use of AI, which this research also investigates, is particularly insistent on addressing itself to become more inclusive and open. It forces us to reduce bias in our data collection, protect privacy, establish accountability and build systems for transparent decision-making so that technology becomes responsible and fair. Also focusing on open data initiatives, the research emphasizes the significance of promoting transparency and citizens' participation in management of the intelligent city region. Its research approach involves comprehensive evaluation and validation techniques for investigating points put forth making sure that they can be applied in practice and expanded. The study's goal is to give practical suggestions to policymakers, urban planners and all stakeholders in Kosovo so that they can use AI to transform the urban environment. This thesis also enriches an ongoing dialogue about future directions for urban innovation, intelligent urbanization in developing countries as well as other currently preferred nomenclature by recommending that smart city development be pursued in a manner that is sustainable resilient and intelligent at once. | pt_PT |
| dc.identifier.tid | 203784898 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/175188 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Smart Cities | pt_PT |
| dc.subject | AI | pt_PT |
| dc.subject | Sustainable Urban Development | pt_PT |
| dc.subject | Traffic Management | pt_PT |
| dc.subject | Enhanced Public Services | pt_PT |
| dc.subject | SDG 3 - Good health and well-being | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.subject | SDG 10 - Reduced inequalities | pt_PT |
| dc.subject | SDG 11 - Sustainable cities and communities | pt_PT |
| dc.title | AI-Infused Smart Cities: Transforming Kosovo's Urban Landscape for Sustainable Growth | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Métodos Analíticos para a Gestão | pt_PT |