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Smart cities from low cost to expensive solutions under an optimal analysis

This scientific approach mainly aims to develop a smart city/smart community concept to objectively evaluate the progress of these organizational forms in relation to other classical/traditional forms of city organizations. The elaborated model allowed the construction of the dashboard of access act...

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Autores principales: Ionescu, Romeo-Victor, Zlati, Monica Laura, Antohi, Valentin-Marian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981448/
https://www.ncbi.nlm.nih.gov/pubmed/36883188
http://dx.doi.org/10.1186/s40854-023-00448-8
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author Ionescu, Romeo-Victor
Zlati, Monica Laura
Antohi, Valentin-Marian
author_facet Ionescu, Romeo-Victor
Zlati, Monica Laura
Antohi, Valentin-Marian
author_sort Ionescu, Romeo-Victor
collection PubMed
description This scientific approach mainly aims to develop a smart city/smart community concept to objectively evaluate the progress of these organizational forms in relation to other classical/traditional forms of city organizations. The elaborated model allowed the construction of the dashboard of access actions in the smart city/smart community category on two levels of financial effort correlated with the effect on the sustainable development of smart cities. The validity of the proposed model and our approach was supported by the complex statistical analysis performed in this study. The research concluded that low-cost solutions are the most effective in supporting smart urban development. They should be followed by the other category of solutions, which implies more significant financial and managerial efforts as well as a higher rate of welfare growth for urban citizens. The main outcomes of this research include modelling solutions related to smart city development at a low-cost level and identifying the sensitivity elements that maximize the growth function. The implications of this research are to provide viable alternatives based on smart city development opportunities with medium and long-term effects on urban communities, economic sustainability, and translation into urban development rates. This study’s results are useful for all administrations ready for change that want the rapid implementation of the measures with beneficial effects on the community or which, through a strategic vision, aim to connect to the European objectives of sustainable growth and social welfare for citizens. Practically, this study is a tool for defining and implementing smart public policies at the urban level.
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spelling pubmed-99814482023-03-03 Smart cities from low cost to expensive solutions under an optimal analysis Ionescu, Romeo-Victor Zlati, Monica Laura Antohi, Valentin-Marian Financ Innov Research This scientific approach mainly aims to develop a smart city/smart community concept to objectively evaluate the progress of these organizational forms in relation to other classical/traditional forms of city organizations. The elaborated model allowed the construction of the dashboard of access actions in the smart city/smart community category on two levels of financial effort correlated with the effect on the sustainable development of smart cities. The validity of the proposed model and our approach was supported by the complex statistical analysis performed in this study. The research concluded that low-cost solutions are the most effective in supporting smart urban development. They should be followed by the other category of solutions, which implies more significant financial and managerial efforts as well as a higher rate of welfare growth for urban citizens. The main outcomes of this research include modelling solutions related to smart city development at a low-cost level and identifying the sensitivity elements that maximize the growth function. The implications of this research are to provide viable alternatives based on smart city development opportunities with medium and long-term effects on urban communities, economic sustainability, and translation into urban development rates. This study’s results are useful for all administrations ready for change that want the rapid implementation of the measures with beneficial effects on the community or which, through a strategic vision, aim to connect to the European objectives of sustainable growth and social welfare for citizens. Practically, this study is a tool for defining and implementing smart public policies at the urban level. Springer Berlin Heidelberg 2023-03-03 2023 /pmc/articles/PMC9981448/ /pubmed/36883188 http://dx.doi.org/10.1186/s40854-023-00448-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Ionescu, Romeo-Victor
Zlati, Monica Laura
Antohi, Valentin-Marian
Smart cities from low cost to expensive solutions under an optimal analysis
title Smart cities from low cost to expensive solutions under an optimal analysis
title_full Smart cities from low cost to expensive solutions under an optimal analysis
title_fullStr Smart cities from low cost to expensive solutions under an optimal analysis
title_full_unstemmed Smart cities from low cost to expensive solutions under an optimal analysis
title_short Smart cities from low cost to expensive solutions under an optimal analysis
title_sort smart cities from low cost to expensive solutions under an optimal analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981448/
https://www.ncbi.nlm.nih.gov/pubmed/36883188
http://dx.doi.org/10.1186/s40854-023-00448-8
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