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@inbook{1821718,
author = {Bühnová, Barbora and Kazičková, Terézia and Ge, Mouzhi and Walletzký, Leonard and Caputo, Francesco and Carrubbo, Luca},
address = {Cham, Switzerland},
booktitle = {Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities},
doi = {http://dx.doi.org/10.1007/978-3-030-84459-2_5},
editor = {Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas},
keywords = {Smart cities; information and communication technologies; smart services; layered model},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham, Switzerland},
isbn = {978-3-030-84458-5},
pages = {63-95},
publisher = {Springer},
title = {A Cross-Domain Landscape of ICT Services in Smart Cities},
url = {https://link.springer.com/chapter/10.1007/978-3-030-84459-2_5},
year = {2022}
}
TY - CHAP
ID - 1821718
AU - Bühnová, Barbora - Kazičková, Terézia - Ge, Mouzhi - Walletzký, Leonard - Caputo, Francesco - Carrubbo, Luca
PY - 2022
TI - A Cross-Domain Landscape of ICT Services in Smart Cities
VL - Springer Optimization and Its Applications, vol 186
PB - Springer
CY - Cham, Switzerland
SN - 9783030844585
KW - Smart cities
KW - information and communication technologies
KW - smart services
KW - layered model
UR - https://link.springer.com/chapter/10.1007/978-3-030-84459-2_5
N2 - 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.
ER -
BÜHNOVÁ, Barbora, Terézia KAZIČKOVÁ, Mouzhi GE, Leonard WALLETZKÝ, Francesco CAPUTO and Luca CARRUBBO. A Cross-Domain Landscape of ICT Services in Smart Cities. Online. In Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas. \textit{Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities}. Cham, Switzerland: Springer, 2022, p.~63-95. Springer Optimization and Its Applications, vol 186. ISBN~978-3-030-84458-5. Available from: https://dx.doi.org/10.1007/978-3-030-84459-2\_{}5.
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