A Cross-Domain Landscape of ICT Services in Smart Cities

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125177" target="_blank" >RIV/00216224:14330/22:00125177 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-84459-2_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-84459-2_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-84459-2_5" target="_blank" >10.1007/978-3-030-84459-2_5</a>

Result language
angličtina
Original language name
A Cross-Domain Landscape of ICT Services in Smart Cities
Original language description
With the rapid growth of emerging technologies and services, smart city has been extensively studied with the development of modern societies. There are various applications and strategic views in different smart city domains such as smart urban planning or smart mobility, for designing smart services. However, it is still very complex to understand the interconnections and mutual influences among city services across the application domains. Therefore, based on a layered model of smart city, this paper investigates the emerging technologies and domain-specific services in a holistic way, and plots them in the defined layers, so that the mutual interconnections and similarities can be identified. Our results show which technologies and services are developed in certain domains, and also demonstrates how to organize technologies and services in terms of a smart city layered landscape model. The model allows us to compare the similarities and differences in each layer and identify possible interactions of smart services for each smart city layer across different smart city domains.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities
ISBN
9783030844585
Number of pages of the result
33
Pages from-to
63-95
Number of pages of the book
235
Publisher name
Springer
Place of publication
Cham, Switzerland
UT code for WoS chapter
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