Is There Such a Thing as the Smart City 1.0, 2.0, or 3.0?

LugoSantiago, José A.

doi:10.1007/978-3-030-49020-1_3

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…The latest version of the Smart City 3.0 node gives citizens the opportunity to participate in the process of making their city a better place to live. Thanks to the close cooperation of residents and city officials, it is possible to shape their city in a more citizen-oriented way [29,30]. In 2020, IoT analysts created the Smart City Use Cases & Technology Adoption Report based on 50 cities around the world and their needs.…”

Section: Smart Cities and Trafficmentioning

confidence: 99%

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

et al. 2021

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This article deals with automated urban traffic management, and proposes a new comprehensive infrastructure solution for dynamic traffic direction switching at intersection lines. It was assumed that the currently used solutions based on video monitoring are unreliable. Therefore, the Radio Frequency IDentification (RFID) technique was introduced, in which vehicles are counted and, if necessary, identified in order to estimate the flows on individual lanes. The data is acquired in real time using fifth-generation wireless communications (5G). The Pots and Ising models derived from the theory of statistical physics were used in a novel way to determine the state of direction traffic lights. The models were verified by simulations using data collected from real traffic observations. The results were presented for two exemplary intersections.

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Section: Smart Cities and Trafficmentioning

confidence: 99%

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

et al. 2021

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“…The notion of a smart city is also evolving, with the following successive smart city generations to be distinguished: Smart Cities 1.0, inspired by the available technologies; Smart Cities 2.0, with the decisive role of public administration; Smart Cities 3.0, based on the inhabitants’ creative involvement; 4.0, linked to the concept of Industry 4.0; and even 5.0, linked to the new symbolic notion of Industry 5.0 [ 14 , 15 , 16 , 17 , 18 , 19 ]. Currently, smart cities are not limited to information and communication technologies, and the centre of gravity has shifted to “smart people” and the corresponding creativity.…”

Section: Introductionmentioning

confidence: 99%

Smart City Solutions from a Societal Perspective—A Case Study

Szczepańska

Kaźmierczak

Myszkowska

2023

IJERPH

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More and more cities are evolving towards the smart city concept, which brings about a tangible effect of raised life quality levels. This is confirmed by the satisfaction of inhabitants with the introduced smart solutions. It is their opinion on this issue that is crucial, as they are the main beneficiaries of these measures. This article presents a case study of a medium-sized city, which illustrates the smart city issue from an inhabitants’ perspective. An analysis of objective indices classifies a city as smart, and it is included in European lists of smart cities. It is interesting, however, to see how the inhabitants themselves assess the city in the context of the smart solutions in place. Are they relevant to them? Has the quality of life increased? Are they satisfied with the individual aspects of city functioning? What solutions are they awaiting? What areas require changes? The involvement of inhabitants and the public participation level were also assessed. The questionnaire survey results indicated whether the city can be classified as a smart city of the future and identified the spheres of the city’s activities that need improvement. The main conclusions are that inhabitants have a positive perception of a city’s smart services provided that their implementation results in an enhanced quality of life. At the same time, even though inhabitants are aware of the smart services introduced, they do not fully use them, which may be due to their low attractiveness, a lack of promotion on the part of the city, or a lack of equipment readiness.

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Evolution of Ural cities at the turn of the 20th–21st centuries

Animitsa,

Vlasova,

Silin

2024

Journal of New Economy

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The growth of cities and the transformation of their urban structure reflect the impact of numerous factors: economic, political, social, ideological and others. The Ural region with its concentration of larger cities is among the most urbanised in Russia. The paper explores the urbanistic processes in the Ural region at the turn of the 20th–21st centuries in the context general economic, political and moral factors. The methodological basis of the research rests on the theories of urbanisation and urban development, and the evolutionary approach. The study uses analytical, statistical, and comparative methods. The data for 1989–2022 reflecting the dynamics of urbanistic processes is taken from the Federal State Statistics Service of the Russian Federation. The boundaries of the Ural agglomerations are sourced from the official territorial and strategic planning documents. The findings indicate several trends in the transformation of the Ural settlement system and its urbanistic structure, in particular, a qualitative change of the cities’ industrial structure, a decrease in the employment in industry and a fall in the urban population, intensification of agglomerations processes and population tending to concentrate in larger cities. The indicated processes of deurbanisation and deindustrialisation of the Ural region result in the augmented share of larger cities, greater imbalance between size groups of cities. The paper is the first to describe the Ural Urban Square that encompasses four larger urban agglomerations – Ekaterinburg, Chelyabinsk, Ufa, and Perm. The paper underscores that the Ural Urban Square becomes a place of concentration of investment, human, economic, and social resources, the core of the development of the Ural macroregion and its neighboring territories.

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Is There Such a Thing as the Smart City 1.0, 2.0, or 3.0?

Cited by 3 publications

References 21 publications

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

Smart City Solutions from a Societal Perspective—A Case Study

Evolution of Ural cities at the turn of the 20th–21st centuries

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