Encouraging Eco-Innovative Urban Development

dc.contributor.authorAlves, Victor
dc.contributor.authorFdez-Riverola, Florentino
dc.contributor.authorRibeiro, Jorge
dc.contributor.authorNeves, José
dc.contributor.authorVicente, Henrique
dc.date.accessioned2024-05-24T15:00:22Z
dc.date.available2024-05-24T15:00:22Z
dc.date.issued2024
dc.description.abstractThis article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as data analysis powerhouses, making urban living more personalized, efficient, and automated, and are pivotal in managing complex urban infrastructures, anticipating societal requirements, and averting potential crises. Digital transformation transforms city operations by weaving digital technology into every facet of urban life, enhancing value delivery to citizens. Computational sustainability, a fundamental goal for smart cities, harnesses artificial intelligence, machine learning, and digital resources to forge more environmentally responsible cities, minimize ecological impact, and nurture sustainable development. The synergy of these technologies empowers residents to make well-informed choices, actively engage in their communities, and adopt sustainable lifestyles. This discussion illuminates the mechanisms and implications of these interconnections for future urban existence, ultimately focusing on empowering citizens in smart cities.por
dc.identifier.authoremailvitoralves@estg.ipvc.pt
dc.identifier.authoremailriverola@uvigo.es
dc.identifier.authoremailjribeiro@estg.ipvc.pt
dc.identifier.authoremailjneves@di.uminho.pt
dc.identifier.authoremailhvicente@uevora.pt
dc.identifier.citationAlves, V., Fdez-Riverola, F., Ribeiro, J., Neves, J. & Vicente, H., Encouraging Eco-Innovative Urban Development. Algorithms, 17(5): 192, 24 pages, 2024.por
dc.identifier.doi10.3390/a17050192por
dc.identifier.issn1999-4893 (electronic)
dc.identifier.sharewithREQUIMTEpor
dc.identifier.urihttps://www.mdpi.com/1999-4893/17/5/192
dc.identifier.urihttp://hdl.handle.net/10174/36770
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherMDPIpor
dc.rightsopenAccesspor
dc.subjectSmart Citiespor
dc.subjectArtificial Intelligencepor
dc.subjectMachine Learningpor
dc.subjectDigital Transformationpor
dc.subjectComputational Sustainabilitypor
dc.subjectLogic Programmingpor
dc.subjectThe Laws of Thermodynamicspor
dc.subjectEntropypor
dc.titleEncouraging Eco-Innovative Urban Developmentpor
dc.typearticlepor

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2024_ALGORITHMS_2024_RD.pdf
Size:
194.45 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
3.89 KB
Format:
Item-specific license agreed upon to submission
Description: