The Smart City in Practice

Ανθόπουλος, Λεωνίδας

doi:10.1007/978-3-319-57015-0_3

Cited by 13 publications

(3 citation statements)

References 80 publications

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“…While some use several of the smart cities’ technologies that include activities and programs, those that are less engaged use few or none of these technologies. Anthopoulos (2017) showed that local governments use technology for different types of functions such as water, energy, transportation, health, buildings, public safety, waste management, civic engagement, public safety, education, and emergency response and recovery. The benefits that accrue to a government likely increase with multiple uses of technology.…”

Section: Smart Cities and The Nexus Of Local Economic Developmentmentioning

confidence: 99%

Do Smart Cities Technologies Contribute to Local Economic Development?

Abutabenjeh

Nukpezah

Azhar

2021

Economic Development Quarterly

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Governments around the world are exploring strategies that contribute to increased government performance and economic development that enable them to meet the service-tax expectations of their citizens. Within the framework of technology use in public management, this sudy examines the effects of smart cities technologies on the importance that chief administrative officers attach to local economic development. Drawing on the Digital Era Governance (DEG) model for theoretical context, this study uses logistic regressions derived from the 2016 International City/County Management Association survey on smart cities and the U.S. Census Bureau. The results show that the level of commitment to, the extent of engagement with, and the barriers faced in implementing smart cities technologies are associated with the importance of local economic development. Among other variables, poverty and education were also found to be significant predictors of the importance of local economic development.

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Section: Smart Cities and The Nexus Of Local Economic Developmentmentioning

confidence: 99%

Do Smart Cities Technologies Contribute to Local Economic Development?

Abutabenjeh

Nukpezah

Azhar

2021

Economic Development Quarterly

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“…A city's energy efficiency is a complex process that consists in the optimal use of time and energy in a way that does not waste any of them [31]. Efficiency relates to productivity or performance.…”

Section: Literature Reviewmentioning

confidence: 99%

A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Hajduk

Jelonek

2021

Energies

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This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.

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“…The first study concerning the issue of the smart city concept is dated 1992. It was "The Technopolis Phenomenon: Smart Cities, Fast Systems, Global Networks" by David V. Gibsona, George Kozmetsky, Raymond W. Smilor [9]. Overall, bibliometrics is a powerful tool for analyzing knowledge domains and revealing their cognitive-epistemological structure.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities

Hajduk

2021

Resources

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This paper presents the application of a Multi-Criteria Decision Making (MCDM) method for the ranking of smart cities. During the construction of the MCDM techniques, the importance of the decision-making approach for the linear ordering of 66 Polish cities with powiat status was presented. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used for evaluation. The method has been verified by applying it to measure urban smartness. The TOPSIS method allowed compilation for a final ranking, taking into account publicly available indicators of the smart cities concept. The work uses data from the Local Data Bank Polish Central Statistical Office (LDB). The author conducted a literature review of research papers related to smart cities and MCDM methods dated from 2010 to 2020. Based on calculations using the TOPSIS method, the results obtained that the city of Krakow has the highest value to become a smart city.

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The Smart City in Practice

Cited by 13 publications

References 80 publications

Do Smart Cities Technologies Contribute to Local Economic Development?

Do Smart Cities Technologies Contribute to Local Economic Development?

A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Multi-Criteria Analysis of Smart Cities on the Example of the Polish Cities

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