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4192. Measuring Urban Smartness: A Comparative Study of European Cities Using Multi-Criteria Analysis
Invited abstract in session MD-18: Enhancement of circularity, inclusivity, and smartness in cities II, stream Sustainable Cities.
Monday, 14:30-16:00Room: 42 (building: 116)
Authors (first author is the speaker)
1. | Sandra Milanović
|
University of Niš, Faculty of Economics | |
2. | Jelena J. Stanković
|
University of Nis, Faculty of Economics | |
3. | Ivana Marjanović
|
University of Nis, Faculty of Economics |
Abstract
The prevailing and anticipated rates of urbanization are recognized as substantial challenges to the society. Urban areas have been mapped as primary drivers of economic development, however, the rapid expansion of cities in recent decades has raised concerns regarding their sustainability, as evidenced by escalating infrastructural, ecological, and social challenges. Bearing in mind the benefits of smart urban development, this paper aims to assess the level of achieved smartness in European cities using a multicriteria analysis approach. By utilizing data from the latest Eurostat Urban Audit Perception Survey, the research assesses the perceived urban performance by inhabitants, encompassing various dimensions of smart and sustainable urban development. To analyse the diverse attributes of cities' urban performance, a multi-criteria model is developed. This model integrates entropy for determining criteria weights and employs the PROMETHEE method for ranking. Respondents' subjective preferences are measured using a 4-point Likert scale, and responses are quantified for analysis purposes. The resulting rankings are visually presented to identify European urban areas where inhabitants perceive the highest overall levels of smartness and sustainable urban development. The obtained results may serve local self-governments, by offering a diagnostic tool for evaluating the effectiveness of existing smart city initiatives and identifying areas for improvement.
Keywords
- Sustainable Development
Status: accepted
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