Measuring the Standardized Definition of “smart city”: A Proposal on Global Metrics to Set the Terms of Reference for Urban “smartness”

Marsal-Llacuna, Maria-Lluïsa

doi:10.1007/978-3-319-21407-8_42

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…Caprotti et al [2] address policy concerns with metrics; Bell et al [5] focus on meaningful metrics; while Marsal-Llacuna [54] identifies the need for metrics that are global in support of 'urban smartness' and with a social focus [78]. Al-Nasrawi et al [1] address synthetic quantitative indicators; standards for data are addressed by the WCCD [50]; and Cohen [52] highlights the volume of indicators while standards and indicators are available and evolving by the ISO for sustainable smart cities and communities in relation to city services and quality of life [51].…”

Section: Theoretical Perspective Research Design and Methodsmentioning

confidence: 99%

“…According to Lévy [53], distance "represents a hurdle to social interactions" and such interactions "are a condition for the production and reproduction of a society". Concerned with "proclamations of being a smart and sustainable city" based on "synthetic quantitative indicators", Marsal-Llacuna [54] identifies the need for "global metrics to set the terms of references for urban smartness". Al-Nasrawi, Adams, and El-Zaart [1] call for "an accurate metric of comparison that considers the city's context".…”

Section: Metricsmentioning

confidence: 99%

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Innovating Metrics for Smarter, Responsive Cities

McKenna¹

2019

Data

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This paper explores the emerging and evolving landscape for metrics in smart cities in relation to big data challenges. Based on a review of the research literature, the problem of “synthetic quantitative indicators” along with concerns for “measuring urban realities” and “making metrics meaningful” are identified. In response, the purpose of this paper is to advance the need for innovating metrics for smarter, more interactive and responsive cities in addressing and mitigating algorithmic-related challenges on the one hand, and concerns associated with involving people more meaningfully on the other hand. As such, the constructs of awareness, learning, openness, and engagement are employed in this study. Using an exploratory case study approach, the research design for this work includes the use of multiple methods of data collection including survey and interviews. Employing a combination of content analysis for qualitative data and descriptive statistics for quantitative data, the main findings of this work support the need for rethinking and innovating metrics. As such, the main conclusion of this paper highlights the potential for developing new pathways and spaces for involving people more directly, knowingly, and meaningfully in addressing big and small data challenges for the innovating of urban metrics.

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Section: Theoretical Perspective Research Design and Methodsmentioning

confidence: 99%

Section: Metricsmentioning

confidence: 99%

Innovating Metrics for Smarter, Responsive Cities

McKenna¹

2019

Data

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“…The urban smartness perfo mance studies of different types include three perspectives: well-being performance, u ban security performance and carbon emission performance [23]. The urban smartnes performance studies of different objects refer to the following categories: building perfo mance [24], household performance, enterprise performance [25], national performanc [13] and regional performance [16,18]. The author conducted the literature review in the Web of Science and Elsevier databases.…”

Section: Multi-mooramentioning

confidence: 99%

“…Marsal-Llacuna [25] suggests that smartness means contributing to sustainable development and resilience. Smartness in the smart city is when the three pillars of sustainability (environmental, economic and social) are safeguarded; while, urban resilience is being improved by making use of ICT infrastructure ICT [36][37][38].…”

Section: Multi-mooramentioning

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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“…Marsal-Llacuna [25] suggests that smartness means to contribute to sustainable development and resilience. Smartness in the smart city is when the three pillars of sustainability (environmental, economic and social) are safeguarded while urban resilience is being improved by making use of ICT infrastructure ICT.…”

Section: A1111111111 A1111111111 A1111111111 A1111111111 A1111111111mentioning

confidence: 99%

Using multivariate statistical methods to assess the urban smartness on the example of selected European cities

Hajduk

2020

PLoS ONE

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The growing importance of maturity smart cities is currently observed worldwide. The vast majority of smart city models focus on hard domains such as communication and technology infrastructure. Scientists emphasize the need to take into account social capital and the knowledge of residents. The smart cities invest in enhanced openness and transparency data. Mature smart cities use real-time evidences and information to citizens, businesses and visitors. The smart cities are characterized by bottom-down management and civil government. The paper aims to assess the urban smartness of selected European cities based on the ISO 37120 standard. Several research methods including the Multidimensional Statistical Analysis (MSA) were applied. Using the statistical analysis of European smart cities with the implemented ISO 37120 standard, the author tried to fill gaps in the knowledge and to evaluate maturity smart cities. The results of the research have shown that the smart city concept is a viable strategy which contributes to the urban sustainability. The author also found out that urban sustainability frameworks contain a large number of indicators measuring environmental sustainability, the smart city frameworks lack environmental indicators while highlighting social and economic aspects.

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Measuring the Standardized Definition of “smart city”: A Proposal on Global Metrics to Set the Terms of Reference for Urban “smartness”

Cited by 12 publications

References 4 publications

Innovating Metrics for Smarter, Responsive Cities

Innovating Metrics for Smarter, Responsive Cities

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

Using multivariate statistical methods to assess the urban smartness on the example of selected European cities

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