An Evaluation Model for Smart City Performance with Less Than 50,000 Inhabitants: A Greek Case Study

Nikoloudis, C.; Strantzali, Eleni; Tounta, T.; Aravossis, Konstantinos; Mavrogiannis, A.; Mytilinaioy, A.; Sitzimi, E.; Violeti, E.

doi:10.5220/0009327700150021

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…In analyzing the implementation of the smart environment, the authors based their analysis on the theory developed by Giffinger [34] which the authors then adapted with parameters from Nikoloudi et al [35]. In the smart environment theory developed by Giffinger [34], there are three indicators chosen by the author as blades in studying the smart environment: the attraction of natural conditions, the integrated air pollution index, and sustainable resource management.…”

Section: Smart Environment Conceptmentioning

confidence: 99%

“…In the smart environment theory developed by Giffinger [34], there are three indicators chosen by the author as blades in studying the smart environment: the attraction of natural conditions, the integrated air pollution index, and sustainable resource management. To sharpen this indicator, the authors adopted the parameters used by Nikoloudi et al [35] which consist of several parameters: green open land, emissions, air pollution, waste management, and smart resource management.…”

Section: Smart Environment Conceptmentioning

confidence: 99%

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Comparative Study of Indonesia and Denmark in Creating a Smart Environment

Hanif,

Utomo,

Husein

2024

JPSL

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This study aims to compare the efforts of the Governments of Indonesia and Denmark in realizing a smart environment SDG's agenda. This urgency is motivated by the poor environmental conditions in Indonesia while the government is targeting a reduction in emission production by 2030. This research uses a qualitative method. The results of this study indicate that the Government of Indonesia in pursuing a smart environment has not been optimal. This can be seen from the several indicators used in this study: (1) the Attraction of Natural Conditions indicator, the Indonesian Government has not enforced regulations or programs aimed at maintaining the balance of green open spaces. Meanwhile, the Danish Government has launched a city greening program through construction of green buildings. (2) Air Pollution Integrated Index indicator, the Indonesian government has not been able to minimize the number of vehicles through the use of electromobility-based vehicles as has been done by the Danish government. (3) Indicators of Sustainable resource management, the Indonesian Government has not been able to optimize the development of technology for processing waste and waste into residues that can be reused. While in Denmark, which is able to turn waste into residue that can be reused.

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Section: Smart Environment Conceptmentioning

confidence: 99%

Section: Smart Environment Conceptmentioning

confidence: 99%

Comparative Study of Indonesia and Denmark in Creating a Smart Environment

Hanif,

Utomo,

Husein

2024

JPSL

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“…Based on the review of various sources [18][19][20][21][22][23][24][25][26], Figure 1 summarises SC components and their smart dimensions and elements. Seven smart city components were selected due to being interrelated with the SC and SRE.…”

Section: Smart City (Sc) Componentsmentioning

confidence: 99%

Evaluating Cities and Real Estate Smartness and Integration: Introducing a Comprehensive Evaluation Framework

Al-Rimawi,

Nadler

2023

Sustainability

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This study aims to identify the success features and indicators of smart cities and real estate projects in order to increase their smartness and integration. Additionally, the study introduces a new comprehensive evaluation framework for both levels; this framework was developed by analyzing scientific literature, indexes, and relevant frameworks. The comparative benchmarks analysis demonstrated the practical application of the framework; seven benchmarks for each level were selected based on selection criteria. The framework is based on seven categories: smart governance, smart people, smart infrastructure, smart energy, smart environment, smart technology, and real estate status. The analysis revealed that cities and projects are adopting smart solutions with a significant integration between the chosen solutions. However, there is still room for improvement at both levels. The range of smart performance and indicators performance is illustrated in the study. The correlation analysis showed a significant correlation between the indicators. Smart real estate followed different strategies for integration into the smart city. Nevertheless, it was discovered that cities could limit smart real estate development in some respects. The study revealed factors and indicators that the municipality, real estate developers, and other stakeholders should focus on in order to achieve smarter development.

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