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Digital and programmable economy applications: A smart cities congestion case by fuzzy sets

Authors: Ferran Herraiz-Faixó; Francisco-Javier Arroyo-Cañada; María Pilar López-Jurado; Ana M. Lauroba-Pérez;

Digital and programmable economy applications: A smart cities congestion case by fuzzy sets

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.

Country
Spain
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Keywords

Fuzzy sets, Conjunts borrosos, Congestió del trànsit, Economics, Programmable array logic, Digital storytelling, Economia, Cadena de blocs (Bases de dades), Ciutats intel·ligents, Blockchains (Databases), Narrativa digital, Xarxa lògica programable, Traffic congestion, Smart cities

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
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47
179
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