Smart city and sustainability indicators: a bibliometric literature review

• Published in: Discover sustainability Vol. 5; no. 1; pp. 143 - 21
• Main Authors: da Silva Tomadon, Leonardo, do Couto, Edivando Vitor, de Vries, Walter Timo, Moretto, Yara
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 08-07-2024; Springer Nature B.V; Springer
• Subjects: Bibliometrics; Circular economy; Climate change; COVID-19 pandemic; Data collection; Data mining; Datasets; Earth and Environmental Science; Efficiency; Environment; Keywords; Literature reviews; Quality of life; Resilience; Review; Sistematic literature review; Smart cities; Software; Sustainable Development; Sustainable urban development; Systematic review; Urban development; Sistematic literature review; COVID-19 pandemic; Sustainable urban development; Circular economy; Resilience
• ISSN: 2662-9984; 2662-9984
• DOI: 10.1007/s43621-024-00328-w

This study delves into the pivotal role that indicators play in designing, assessing, and guiding policies for sustainable urban development. Indicators, encompassing both quantitative and qualitative measures, serve as essential tools in evaluating efforts toward sustainable development, providing a practical and objective means of understanding the complex urban environment. The lack of a robust database is identified as a hindrance to monitoring sustainable development progress, underscoring the importance of comprehensive indicators. The study employs a bibliometric literature review methodology, focusing on smart city and sustainability indicators (SSCI) from 2015 to 2022. A total of 818 articles were narrowed down to 191 through rigorous criteria. The study showcases a growing interest in this field, with the number of articles published experiencing a remarkable 288% increase from 2015 to 2022. China emerges as a focal point, leading in both article production and citations, emphasizing its commitment to sustainable development and smart city initiatives. The keywords "sustainable development", "sustainability" and “urban development” had the most occurrences in text analysis. We found three different clusters with k-means analysis, and the circular economy indicators were the most representative category. In conclusion, the study underscores the holistic vision of SSCI in the current scenario, balancing technology and sustainability to improve urban quality of life while safeguarding the planet. Encouraging further research into integrating resilience-focused indicators and innovative solutions is crucial for enhancing sustainable urban development and informing policy decisions.