Abstract
The smart city concept describes the use of information and communication technologies (ICT) in a sustainable urban context to improve its services’ efficiency and meet its inhabitants’ requirements. This transition towards sustainability includes creating circular cities with a focus on the well-being of the entire ecosystem. By employing Artificial Intelligence (AI) systems and strategies for sustainable circular purposes, the aim of building a smart circular city is to raise the standard of living, optimize the utilization of resources, strengthen the relationships between various stakeholders and tackle climate, ecological, social and economic challenges. To be better fitted to the requirements of citizens and accelerate progress towards the SDGs, the AI models must include communities in the construction, implementation, and ongoing modification of AI systems, making a huge contribution to improving decision-making.
This study aims to investigate the direct and indirect relationships between AI, stakeholders’ engagement, and the smart circular city, integrating the literature review with bibliometric maps elaborated through the VOSviewer tools. The findings of this study will contribute to defining the research gap about the role of AI technologies in encouraging and promoting stakeholders’ participation in the collaborative decision-making process.
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References
Hollands, R.G.: Will the real smart city please stand up? City 12(3), 303–320 (2008)
Washburn, D., Sindhu, U., Balaouras, S., Dines, R.A., Hayes, N.M., Nelson, L.E.: Helping CIOs Understand “Smart City” Initiatives: Defining the Smart City, its Drivers, and the Role of the CIO. Forrester Research Inc, Cambridge (2010)
Su, K., Li, J., Fu, H.: Smart city and the applications. In: Proceedings of IEEE International Conference on Electronics, Communications and Control (ICECC), pp. 1028–1031. Institute of Electrical and Electronics Engineers (IEEE), Ningbo (2011)
Mitton, N., Papavassiliou, S., Puliafito, A., Trivedi, K.: Combining Cloud and sensors in a smart city environment. EURASIP J. Wirel. Commun. Networking, 1–10 (2012)
Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., David, B.: A literature survey on smart cities. Sci. China Inf. Sci. 58(10), 1–18 (2015). https://doi.org/10.1007/s11432-015-5397-4
Harrison, C., Eckman, B., Hamilton, R., Hartswick, P.: Foundations for smarter cities. IBM J. Res. Dev. 54, 1–16 (2010)
Nam, T., Pardo, T.A.: Conceptualizing Smart City with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research, pp. 282–291. Association for Computing Machinery, College Park (2011)
Creating “the smart city”. Rios, Patrice. https://archive.udmercy.edu/handle/10429/393. Accessed 14 May 2023
Cavoukian, A., Chibba, M.: Cognitive cities, big data and citizen participation: the essentials of privacy and security. In: Portmann, E., Finger, M. (eds.) Towards Cognitive Cities. SSDC, vol. 63, pp. 61–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33798-2_4
Mostashari, A., Arnold, F., Mansouri, M., Finger, M.: Cognitive cities and intelligent urban governance. Netw. Ind. Q. 13(3) (2011)
Moyser, R., Uffer, S.: Cognitive Cities, From smart to cognitive: a roadmap for the adoption of technology in cities. In: Portmann, E., Finger, M. (eds.) Towards Cognitive Cities: Advances in Cognitive Computing and Its Application to the Governance of Large Urban Systems, pp. 61–82. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-33798-2_2
Kim, H.M., Sabri, S., Kent, A.: Smart Cities for Technological and Social Innovation, 1st edn. Academic Press (2020)
Partridge, H.: Developing a human perspective to the digital divide in the smart city. In: Proceedings of the Biennial Conference of Australian Library and information Association, Australia (2004)
Castro-Arce, K., Parra, C., Vanclay, F.: Social innovation, sustainability and the governance of protected areas: revealing theory as it plays out in practice in Costa Rica. J. Environ. Plan. Manag. 62, 2255–2272 (2019)
Ellen MacArthur Foundation, Cities in the circular economy: an initial exploration. Available at https://www.ellenmacarthurfoundation.org/. Accessed 14 May 2023
Poli, G., Muccio, E., Cerreta, M.: Circular, cultural and creative city index: a comparison of indicators-based methods with a machine-learning approach. Aestimum 81 (2022)
Bosone, M., De Toro, P., Fusco Girard, L., Gravagnuolo, A., Iodice, S.: Indicators for ex-post evaluation of cultural heritage adaptive reuse impacts in the perspective of the circular economy. Sustainability 13(9), 4759 (2021)
Sacco, S., Cerreta, M.: A decision-making process for circular development of city-port ecosystem: the East Naples case study. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds.) Computational Science and Its Applications – ICCSA 2022 Workshops. ICCSA 2022. LNCS, vol. 13378. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-10562-3_40
United Nations: Resolution adopted by the General Assembly on 6 July 2017, A/RES/71/313. https://unstats.un.org/sdgs/. Accessed 14 May 2023
Cardone, B., Di Martino, F.: A GIS-based fuzzy multiclassification framework applied for spatiotemporal analysis of phenomena in urban contexts. Information, Special Issue on Knowledge (2022)
Cardone, B., Di Martino, F., Senatore, S.: A fuzzy partition-based method to classify social messages assessing their emotional relevance. Inf. Sci. 594, 60–75 (2022)
Cardone, B., Di Martino, F.: Fuzzy-based spatiotemporal hot spot intensity and propagation - an application in crime analysis. Electronics 11(3), 370 (2022)
Cardone, B., Di Martino, F.: GIS-based hierarchical fuzzy multicriteria decision-making method for urban planning. J. Ambient. Intell. Humaniz. Comput. 12(1), 601–615 (2020). https://doi.org/10.1007/s12652-020-02043-6
Birhane, A., et al.: Power to the people? Opportunities and challenges for participatory AI. In: Equity and Access in Algorithms, Mechanisms, and Optimization. EAAMO 2022, Article 6, pp. 1–8. Association for Computing Machinery, New York (2022)
Van Eck, N.J., Waltman, L.: Accuracy of citation data in Web of Science and Scopus. arXiv preprint arXiv:1906.07011 (2019)
Van Eck, N.J., Waltman, L.: Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84(2), 523–538 (2010). https://doi.org/10.1007/s11192-009-0146-3
Van Eck, N.J., Waltman, L.: VOSviewer Manual, vol. 1, no. 1, pp. 1–53. Univeristeit Leiden, Leiden (2013)
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Conceptualization, M.C., F.D.M., S.S.; methodology, M.C., F.D.M., S.S.; validation, M.C. and F.D.M.; formal analysis, S.S.; investigation, S.S.; writing-original draft preparation, S.S.; writing-review and editing, M.C., F.D.M., S.S.; visualization, S.S.; supervision, M.C. and F.D.M. All authors have read and agreed to the published version of the manuscript.
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Sacco, S., Di Martino, F., Cerreta, M. (2023). Smart Circular Cities and Stakeholders Engagement: A Literature Review to Explore the Role of Artificial Intelligence. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14108. Springer, Cham. https://doi.org/10.1007/978-3-031-37117-2_18
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