Smart and sustainable benchmarking of cities and regions in Europe: The application of multicriteria assessment

Shmelev, Stanislav E.; Shmeleva, Irina A.

doi:10.1016/j.cities.2024.105533

Cities

2025

DOI: 10.1016/j.cities.2024.105533

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Smart and sustainable benchmarking of cities and regions in Europe: The application of multicriteria assessment

Stanislav E. Shmelev,

Irina A. Shmeleva

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Cited by 2 publications

References 28 publications

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Determination of ISO Smartness, Sustainability, and Resilience City Indices for 81 Turkish Provinces, and Visualization of Their Maps

Çoruh

2024

Resilience

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New mobile and digital technologies have begun to integrate with digital objects and enable cities to transform into Digital Transformation or Smart Cities. However, it is necessary to first measure at what stage this level of intelligence is. Therefore, to measure the sustainability and durability of digitalized cities as well as their smartness, "calculating the smartness, sustainability, and durability indices of cities through ISO Critical Success Factors (CSF) and indicator data ", has been determined as the aim of this research. In this research, ISO CSFs and indicators were used to ensure global comparison of cities. ISO's 20 CSFs, which are used in many index studies, were used in the research. Different numbers of indicator values determined by ISO in different areas are primarily collected from Turkish municipalities and Turkish statistical institutions such as TUIK, BTK, SGK, MEB, TIM, TOBB, SB, CSB, etc. Sustainability, smartness, and durability index rankings and their City Maps were prepared based on CSFs from the collected data. Different ISO City Indices have been determined with the areas on these maps. This research is the first research conducted in Turkey using ISO indicators.

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Determination of ISO Smartness, Sustainability, and Resilience City Indices for 81 Turkish Provinces, and Visualization of Their Maps

Çoruh

2024

Resilience

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Identifying Circular City Indicators Based on Advanced Text Analytics: A Multi-Algorithmic Approach

Falah,

Marrero

et al. 2024

Environments

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Circular Economy (CE) and circular cities are recognized as essential approaches for achieving sustainability and fostering sustainable urban development. Given the diverse definitions and principles, multidimensional complexities, and lack of a comprehensive list of CE indicators, this study aims to propose an innovative method for identifying macro-level indicators to assess urban circularity. This methodology combines a systematic literature review (SLR) with advanced machine learning (ML) and natural language processing (NLP) techniques. A multi-algorithmic approach, incorporating BERT, TF-IDF, Word2Vec, graph-based and clustering models, is employed to extract a comprehensive set of indicators from reputable scientific articles and reports to compare frequency and similarly based on each model. The overlap and accuracy of results from these five methods are analyzed to produce a refined list of indicators with high precision and alignment with core CE principles. This curated collection serves as a valuable tool for policymakers, urban planners, and designers, enabling the prediction of future trends in urban circularity. Additionally, it provides guidance for research and practical projects at various scales, from buildings and neighborhoods to entire cities, facilitating a more precise assessment of sustainability and circularity in modern urban environments.

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Smart and sustainable benchmarking of cities and regions in Europe: The application of multicriteria assessment

Cited by 2 publications

References 28 publications

Determination of ISO Smartness, Sustainability, and Resilience City Indices for 81 Turkish Provinces, and Visualization of Their Maps

Determination of ISO Smartness, Sustainability, and Resilience City Indices for 81 Turkish Provinces, and Visualization of Their Maps

Identifying Circular City Indicators Based on Advanced Text Analytics: A Multi-Algorithmic Approach

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