Smart Cities Maturity Model—A Multicriteria Approach

Aragão, Franciely Velozo; Chiroli, Daiane Maria De Genaro; Zola, Fernanda Cavicchioli; Aragão, Emanuely Velozo; Marinho, Luis Henrique Nogueira; Correa, Ana Lidia Cascales; Colmenero, João Carlos

doi:10.3390/su15086695

Cited by 8 publications

(2 citation statements)

References 152 publications

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“…Maturity models (MMs) were first proposed by the Software Engineering Institute (SEI) in the 1980s to assess the maturity of software development processes [11]. Since then, the concept has been extended to various domains, including information technology, smart cities, smart grids, safety, health, and environmental management [12,13]. Maturity models use a series of pre-defined maturity levels to represent the evolution of the subject from nonexistent, initial, unstructured stages to highly mature optimized processes [14].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Critical Influencing Factors of the Maturity of Smart Construction Site Applications

Liu,

Zhang,

Hou

et al. 2024

Buildings

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The burgeoning application of advanced information technology in the construction industry has led to the widespread adoption of smart construction sites (SCSs) in recent years. As a novel concept, smart construction site application maturity (SCS-AM) aims to identify the pivotal factors impeding the current progression of SCSs and foster the metamorphosis of the construction sector. Through a meticulous review of the existing literature, this study delineates 14 fundamental factors influencing SCS-AM. Employing both Exploratory Factor Analysis (EFA) and confirmatory factor analysis (CFA), alongside the acquisition of 217 valid questionnaires, practitioners’ perceptions regarding these factors within the smart construction domain were examined. This study initially categorized the 14 factors into four dimensions by utilizing the EFA method: technological innovation and integration (TII), project management and implementation (PMI), collaboration mechanism and information sharing (CMIS), and standardization and compliance (SC). Subsequently, a first-order CFA was employed to elucidate the correlations between the observed variables and latent factors, while a second-order CFA was employed to delve into the interplay among the first-order factors and their collective influence on SCS-AM. The results underscore the paramount impact of standardization and compliance (SC) and technological innovation and integration (TII) on SCS-AM. By meticulously analyzing the key influencing factors, this study offers theoretical underpinnings for bolstering SCS-AM, thereby providing stakeholders such as governments and construction enterprises with strategic insights for future development endeavors.

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Section: Introductionmentioning

confidence: 99%

Analyzing Critical Influencing Factors of the Maturity of Smart Construction Site Applications

Liu,

Zhang,

Hou

et al. 2024

Buildings

View full text Add to dashboard Cite

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“…The authors also offer many modern technological solutions focused on the intensive development of smart urban infrastructure [10][11][12][13][14][15]. In addition, in the scientific and practical spheres, there are more and more approaches and methods to assess smart urban structures, including their maturity [16][17][18][19]. Therefore, city decision-makers feel strongly obliged to compete in terms of being smart.…”

Section: Introductionmentioning

confidence: 99%

The Exclusiveness of Smart Cities—Myth or Reality? Comparative Analysis of Selected Economic and Demographic Conditions of Polish Cities

Jonek-Kowalska

2023

Smart Cities

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The Smart City concept is perceived as a method of dynamic development of cities and an opportunity to improve the quality of life of the urban community. Nevertheless, it is not without its disadvantages, among which the possibility of exclusion (economic, social or digital) is most often mentioned. However, the literature on the subject lacks empirical research verifying this allegation. For this reason, the purpose of this article is to conduct a comparative analysis of economic and social conditions in 17 Polish cities, 3 of which are recognized as Smart Cities in international rankings. By analyzing the economic and demographic conditions in the long term, an attempt is made to answer the question of whether Smart Cities offer better living conditions, and if so, how big is the imbalance and the risk of excluding other cities? In the course of the research, the following are taken into account: tax revenue per capita, unemployment rate, population density and level, as well as the share of working and post-working age population. These parameters are analyzed using descriptive statistics and systematized using multi-criteria analysis. The collective comparison of all the surveyed provincial cities shows that the best economic and demographic conditions apply to cities recognized as smart. The average annual rate of changes in tax revenues in the surveyed cities ranges from 5% to almost 8% and is the highest in Warsaw, Kraków and Wrocław. These cities are also characterized by the lowest unemployment rate, ranging from 3% to 4% (in other cities, from 4% to almost 7%). The mentioned cities and Gdańsk are the only ones with a positive rate of population change (from 0.62% to 1.08%). Other studied cities are systematically depopulating (annual rate of change from −0.37% to −7.09%). In Warsaw, Wrocław and Kraków, the share of the working-age population is also decreasing the slowest (the annual rate of change below −1.0%). The cities recognized as smart (Warsaw, Kraków and Wrocław) are matched by Gdańsk and Poznań, which can be considered strong contenders for being smart. Unfortunately, the remaining cities are far from the leaders of the ranking, which may expose them to economic and social exclusion, all the more so that the parameters examined in them are characterized by negative tendencies. It can, therefore, be concluded that striving to be smart can be a cause of increasing the economic and demographic distance. Therefore, it may increase unbalance and generate exclusion in the analyzed areas.

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Smart city maturity models: A multidimensional synthesized approach

Ghazinoory,

Roshandel,

Parvin

et al. 2023

WIREs Data Min & Knowl

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Smart cities are one of the consequences of digital transformation, and there have been many attempts to assess the smartness of cities with various frameworks. Among these frameworks, smart city maturity models (SCMMs) evaluate the existing conditions of cities and provide guidelines for progressing through the subsequent stages of maturity. However, most maturity models follow the instructions of the first model, published by the International Data Corporation, and there are many similarities across the models. These maturity models have advantages and disadvantages, while previous studies have not addressed the differences. Therefore, this article fills this knowledge gap by systematically reviewing the existing SCMMs. The findings suggest that some trending topics, such as resiliency concerning global pandemics and cultural aspects are neglected in SCMMs. Moreover, the validation techniques of the models are not rational. Finally, given the theoretical nature of most models, they cannot be applied to multiple regions.This article is categorized under: Fundamental Concepts of Data and Knowledge > Big Data Mining Technologies > Artificial Intelligence Technologies > Machine Learning

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Smart Cities Maturity Model—A Multicriteria Approach

Cited by 8 publications

References 152 publications

Analyzing Critical Influencing Factors of the Maturity of Smart Construction Site Applications

Analyzing Critical Influencing Factors of the Maturity of Smart Construction Site Applications

The Exclusiveness of Smart Cities—Myth or Reality? Comparative Analysis of Selected Economic and Demographic Conditions of Polish Cities

Smart city maturity models: A multidimensional synthesized approach

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