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Article . 2024
License: CC BY
Data sources: Datacite
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Other literature type . 2024
License: CC BY
Data sources: Datacite
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Gemelos Digitales En Las Ciudades Del Mañana (Metodología Prisma)

Authors: Flores Inca, Bryan Anthony; Enrique, Portilla Sanchez, Giuver;

Gemelos Digitales En Las Ciudades Del Mañana (Metodología Prisma)

Abstract

El objetivo de este artículo es analizar cómo los gemelos digitales están revolucionando el desarrollo de ciudades inteligentes, enfocándose en la mejora de sectores como transporte, energía, infraestructura y seguridad. A través de una metodología de revisión sistemática basada en PRISMA, se seleccionaron 33 artículos de un total de 109 resultados iniciales obtenidos en las bases de datos Scopus, SciELO y Latindex. La revisión reveló que los gemelos digitales ofrecen una plataforma para simulaciones y monitoreo en tiempo real, permitiendo optimizar procesos críticos en la infraestructura urbana y reducir costos operativos en sectores como energía y transporte. Los resultados destacaron que el uso de gemelos digitales facilita la planificación de rutas y el control del tráfico en transporte, el mantenimiento predictivo de edificios en infraestructura y la prevención de emergencias en seguridad. Este análisis concluye que los gemelos digitales representan una herramienta esencial para la sostenibilidad y la resiliencia urbana, transformando la gestión de recursos y promoviendo un entorno más seguro y eficiente para los habitantes de las ciudades del futuro.

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
0
Average
Average
Average
Green