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Issue title: Special section: Fuzzy Systems in Management and Information Science
Guest editors: José M. Merigó, Salvador Linares-Mustaros and Joan Carles Ferrer-Comalat
Article type: Research Article
Authors: Herraiz-Faixó, Ferran; * | Arroyo-Cañada, Francisco-Javier | López-Jurado, María Pilar | Lauroba-Pérez, Ana M.
Affiliations: Department of Business and Management, University of Barcelona. Av. Diagonal, Barcelona, Spain
Correspondence: [*] Corresponding author. Ferran Herraiz Faixó, Department of Business and Management, University of Barcelona. Av. Diagonal 690, 08034 Barcelona, Spain. E-mail: ferranherraiz@ub.edu.
Note: [1] This research has been made possible thanks to the specific agreement between the Department of Business of the University of Barcelona and Telefónica Móviles España SA, “Study and analysis of opportunities for improvement of services to citizens and businesses that smart cities and/or other public organizations can achieve with the use of Big Data”, within the framework agreement of collaboration for the development of joint initiatives formalized between the University of Barcelona and Telefónica SA.
Abstract: Currently, cities are facing great challenges such as the population growing, citizen wellbeing, externalities management or environmental deterioration. The search for solutions are making significant inroads into the incorporation of ICT in them and subsequent large-scale digitalization such as programmable economy (PE) applications, offering the possibility to develop new approaches over these issues, in particular which related to sustainability management. Operating under a fuzzy numbers methodology and FIS (Fuzzy Inference System), the present exploratory work shows a new approach to city urban congestion management by deploying PE applications, which include some disruptive inputs such as the Internet of value, blockchain/DLT (distributed ledger technology), smarts contracts, digital assets and the monetization, all of this combined with the human motivation.
Keywords: Programmable economy, blockchain, smart cities, urban congestion, fuzzy sets
DOI: 10.3233/JIFS-179632
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5391-5404, 2020
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