AI-enabled transition to smart European cities
Smart cities continue to be discussed throughout Europe as a result of the continent’s rising urbanization and the need for sustainable development. Artificial intelligence (AI) has the potential to significantly promote this shift by assisting cities in becoming more effective, sustainable, and re...
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Format: | Article |
Language: | English |
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CTU Central Library
2024-03-01
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Series: | Acta Polytechnica CTU Proceedings |
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Online Access: | https://ojs.cvut.cz/ojs/index.php/APP/article/view/9625 |
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author | Noor Marji Michal Kohout Lijun Chen Gülbahar Emir Isik Akshatha Ravi Kumar |
author_facet | Noor Marji Michal Kohout Lijun Chen Gülbahar Emir Isik Akshatha Ravi Kumar |
author_sort | Noor Marji |
collection | DOAJ |
description |
Smart cities continue to be discussed throughout Europe as a result of the continent’s rising urbanization and the need for sustainable development. Artificial intelligence (AI) has the potential to significantly promote this shift by assisting cities in becoming more effective, sustainable, and receptive to the requirements of their residents. The goal of this study is to examine the potential and difficulties of AI in urban development and present a framework for incorporating AI into city planning and management in European cities. This is done by analyzing case study examples from European cities and examining primary and secondary data sources, with the aim of providing a comprehensive framework for the sustainable integration of AI systems. This study presents a set of ethical and inclusive AI criteria, such as transparency, inclusion, and accountability, to enable responsible AI research and implementation. It continues by emphasizing the need for efficient AI integration in smart cities and pushing for a holistic AI-enabled transition to inclusive and sustainable smart cities.
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first_indexed | 2024-04-24T12:13:37Z |
format | Article |
id | doaj.art-78551466a0074d9ab25f1e8058bb679f |
institution | Directory Open Access Journal |
issn | 2336-5382 |
language | English |
last_indexed | 2024-04-24T12:13:37Z |
publishDate | 2024-03-01 |
publisher | CTU Central Library |
record_format | Article |
series | Acta Polytechnica CTU Proceedings |
spelling | doaj.art-78551466a0074d9ab25f1e8058bb679f2024-04-08T09:12:01ZengCTU Central LibraryActa Polytechnica CTU Proceedings2336-53822024-03-014610.14311/APP.2024.46.0085AI-enabled transition to smart European citiesNoor Marji0Michal Kohout1Lijun Chen2Gülbahar Emir Isik3Akshatha Ravi Kumar4Czech Technical University in Prague, Faculty of Architecture, Thákurova 9, 160 00 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Architecture, Thákurova 9, 160 00 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Architecture, Thákurova 9, 160 00 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Architecture, Thákurova 9, 160 00 Prague 6, Czech RepublicCzech Technical University in Prague, Faculty of Architecture, Thákurova 9, 160 00 Prague 6, Czech Republic Smart cities continue to be discussed throughout Europe as a result of the continent’s rising urbanization and the need for sustainable development. Artificial intelligence (AI) has the potential to significantly promote this shift by assisting cities in becoming more effective, sustainable, and receptive to the requirements of their residents. The goal of this study is to examine the potential and difficulties of AI in urban development and present a framework for incorporating AI into city planning and management in European cities. This is done by analyzing case study examples from European cities and examining primary and secondary data sources, with the aim of providing a comprehensive framework for the sustainable integration of AI systems. This study presents a set of ethical and inclusive AI criteria, such as transparency, inclusion, and accountability, to enable responsible AI research and implementation. It continues by emphasizing the need for efficient AI integration in smart cities and pushing for a holistic AI-enabled transition to inclusive and sustainable smart cities. https://ojs.cvut.cz/ojs/index.php/APP/article/view/9625smart citiesartificial intelligenceEuropeurban planningtransition |
spellingShingle | Noor Marji Michal Kohout Lijun Chen Gülbahar Emir Isik Akshatha Ravi Kumar AI-enabled transition to smart European cities Acta Polytechnica CTU Proceedings smart cities artificial intelligence Europe urban planning transition |
title | AI-enabled transition to smart European cities |
title_full | AI-enabled transition to smart European cities |
title_fullStr | AI-enabled transition to smart European cities |
title_full_unstemmed | AI-enabled transition to smart European cities |
title_short | AI-enabled transition to smart European cities |
title_sort | ai enabled transition to smart european cities |
topic | smart cities artificial intelligence Europe urban planning transition |
url | https://ojs.cvut.cz/ojs/index.php/APP/article/view/9625 |
work_keys_str_mv | AT noormarji aienabledtransitiontosmarteuropeancities AT michalkohout aienabledtransitiontosmarteuropeancities AT lijunchen aienabledtransitiontosmarteuropeancities AT gulbaharemirisik aienabledtransitiontosmarteuropeancities AT akshatharavikumar aienabledtransitiontosmarteuropeancities |