1,720,989 research outputs found

    How are smart city policies progressing in Italy? Insights from SDG indicators

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    With the rise of global urbanization, cities encounter considerable socioeconomic and environmental challenges embodied in the 17 Sustainable Development Goals (SDGs) of the United Nations 2030 Agenda for Sustainable Development. Therefore, the crucial importance of urban planning cannot be underestimated in pursuing sustainable development. Among urban sustainability efforts, the smart city has emerged as a crucial paradigm for integrating innovation and sustainability to enhance urban living and achieve SDGs. The study aims to classify the Italian regional capital cities based on their progress in smart cities-related SDGs to understand the key implementation strategies, define the gaps between cities and identify priorities for action. For cluster analysis, 34 indicators related to SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities) were considered. The main results reveal significant variability in performance across Italian cities, suggesting that they are at different stages of development in achieving SDGs 9 and 11. Northern Italian cities outperform their southern counterparts in industry, innovation and infrastructure. Larger cities often suffer from more serious and structural problems in urban sustainability. This study guides policy by pinpointing effective strategies and gaps across Italian cities, enhancing collaborative efforts and best practice sharing. It also informs SDG progress assessments, directing investments and prioritizing development needs, thus advancing smart city policies and urban sustainability

    Unveiling Urban Smartness: Empirical Evidence from Italian Cities

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    Rapid urbanization poses significant challenges, making the development of smart cities a strategic imperative to foster sustainable economic growth and enhance urban competitiveness. Measurement and evaluation tools are useful ways to set goals and monitor the cities’ progress toward smartness. There are few studies that examine the results achieved in the Italian context. This study introduces a robust multidi- mensional framework for evaluating the smartness of Italian cities, by providing the user with a step-by-step approach. The framework is composed of five stages: (i) a comprehensive literature review to develop a holistic understanding of smart cities and identify the criteria of the Multi-criteria decision-making (MCDM) process; (ii) the selection of indicators that serve as sub-criteria within the MCDM framework; (iii) weight assignment to each indicator by convening a panel of stakeholders and using the Analytical Hierarchy Process (AHP); (iv) normalization, assessment, and aggregation of results, producing final scores to rank cities based on their smartness levels, using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method; (v) sensitivity analysis to confirm the stability and validity of the obtained results. Indicator data are collected from the 21 Italian regional capital cities. Application of the framework has returned meaningful results, highlighting signifi- cant disparities between the sampled cities. The model provides policy makers, urban planners and researchers with a comprehensive and scalable tool to measure urban intelligence, identifying strengths and potential areas for urban improvement. This study is a key contribution to the ongoing efforts to transform urban environments into smarter, more efficient spaces that improve the well-being of citizens
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