With 7/10 of the population which will live in urban center by 2050, Cities face huge challenge inviting to rethink the very concept of a City. The Smart Cities concept proposes to use Information and Communication Technologies to design sustainable solutions for improving socio-ecological aspects of cities. In this paper, we present the challenge of designing IT applications in Smart Cities and present our own attempt to transform our university into a Smart Campus. Through examples of use cases, we discuss how the Smart Cities concept intends to put citizen back at the center of the city and highlights that inter-disciplinary work is mandatory to address the challenges of Smart Cities.
With 7/10 of the population which will live in urban center by 2050, Cities face huge challenge inviting to rethink the very concept of a City. The Smart Cities concept proposes to use Information and Communication Technologies to design sustainable solutions for improving socio-ecological aspects of cities. In this paper, we present the challenge of designing IT applications in Smart Cities and present our own attempt to transform our university into a Smart Campus. Through examples of use cases, we discuss how the Smart Cities concept intends to put citizen back at the center of the city and highlights that inter-disciplinary work is mandatory to address the challenges of Smart Cities.
“…The experiences of the BRIC countries on the development of the Smart City concept can be a very valuable point of reference for the inhabitants of European metropolises (especially those in Central and Eastern Europe) (pp. 347-354, [97], pp. 2-232, [98] and p. 4, [99]).…”
The article presents findings from the multidimensional comparative study focusing on the implementation of the Smart City concept in selected cities of the Visegrad Group (V4). V4 has been established by its member states (Poland, Slovakia, Czech Republic and Hungary) in a joint effort to break from the communist past and develop the common democratic values of the European Community. Aforementioned efforts involved meeting other important goals, such as socio-economic convergence processes including reaching better living conditions for V4 citizens. At present, strategies that aim to improve the wellbeing of citizens are manifested by Smart City concepts and are being implemented in V4 cities. The main research task in this article is to answer the question regarding regional (state) divergence in Smart City implementation in selected cities. The results of the study show that the best Smart City implementation scores are shared by Czech Republic towns. Polish cities (Kielce, Rzeszów, Lublin) located in the eastern regions of the country (which are also eastern border regions of the European Union) have the worst Smart City implementation scores, according to the value of the synthetic measure.
Currently, the integration of technologies such as the Internet of Things and big data seeks to cover the needs of an increasingly demanding society that consumes more resources. The massification of these technologies fosters the transformation of cities into smart cities. Smart cities improve the comfort of people in areas such as security, mobility, energy consumption and so forth. However, this transformation requires a high investment in both socioeconomic and technical resources. To make the most of the resources, it is important to make prototypes capable of simulating urban environments and for the results to set the standard for implementation in real environments. The search for an environment that represents the socioeconomic organization of a city led us to consider universities as a perfect environment for small-scale testing. The proposal integrates these technologies in a traditional university campus, mainly through the acquisition of data through the Internet of Things, the centralization of data in proprietary infrastructure and the use of big data for the management and analysis of data. The mechanisms of distributed and multilevel analysis proposed here could be a powerful starting point to find a reliable and efficient solution for the implementation of an intelligent environment based on sustainability.
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