From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases
In an urban context, the use of artificial intelligence (AI) can help to categorise and analyse large amounts of data quickly and efficiently. The AI approach can make municipal administration and planning processes more efficient, improve environmental and living conditions (e.g., air quality, inve...
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| Format: | Article |
| Language: | English |
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Cogitatio
2025-01-01
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| Series: | Urban Planning |
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| Online Access: | https://www.cogitatiopress.com/urbanplanning/article/view/8576 |
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| author | Frank Othengrafen Lars Sievers Eva Reinecke |
| author_facet | Frank Othengrafen Lars Sievers Eva Reinecke |
| author_sort | Frank Othengrafen |
| collection | DOAJ |
| description | In an urban context, the use of artificial intelligence (AI) can help to categorise and analyse large amounts of data quickly and efficiently. The AI approach can make municipal administration and planning processes more efficient, improve environmental and living conditions (e.g., air quality, inventory of road damages, etc.), or strengthen the participation of residents in decision-making processes. The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. However, what does this mean for urban planning and the future development of cities? Will AI take over the planning and design of our cities and actively intervene in and influence planning activities? This article applies a systematic literature review supplemented by case study analyses and expert interviews to categorise various types of AI and relate their potential applications to the different phases of the planning process. The findings emphasize that AI systems are highly specialised applications for solving and processing specific challenges and tasks within a planning process. This can improve planning processes and results, but ultimately AI only suggests alternatives and possible solutions. Thus, AI has to be regarded as a planning tool rather than the planning solution. Ultimately, it is the planners who have to make decisions about the future development of cities, taking into account the possibilities and limitations of the AI applications that have been used in the planning process. |
| format | Article |
| id | doaj-art-63ec230334fc4575a3bde89e9d58ff54 |
| institution | Kabale University |
| issn | 2183-7635 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cogitatio |
| record_format | Article |
| series | Urban Planning |
| spelling | doaj-art-63ec230334fc4575a3bde89e9d58ff542025-01-21T10:43:37ZengCogitatioUrban Planning2183-76352025-01-0110010.17645/up.85763694From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning PhasesFrank Othengrafen0Lars Sievers1Eva Reinecke2Department of Spatial Planning, TU Dortmund, GermanyDepartment of Spatial Planning, TU Dortmund, GermanyDepartment of Spatial Planning, TU Dortmund, GermanyIn an urban context, the use of artificial intelligence (AI) can help to categorise and analyse large amounts of data quickly and efficiently. The AI approach can make municipal administration and planning processes more efficient, improve environmental and living conditions (e.g., air quality, inventory of road damages, etc.), or strengthen the participation of residents in decision-making processes. The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. However, what does this mean for urban planning and the future development of cities? Will AI take over the planning and design of our cities and actively intervene in and influence planning activities? This article applies a systematic literature review supplemented by case study analyses and expert interviews to categorise various types of AI and relate their potential applications to the different phases of the planning process. The findings emphasize that AI systems are highly specialised applications for solving and processing specific challenges and tasks within a planning process. This can improve planning processes and results, but ultimately AI only suggests alternatives and possible solutions. Thus, AI has to be regarded as a planning tool rather than the planning solution. Ultimately, it is the planners who have to make decisions about the future development of cities, taking into account the possibilities and limitations of the AI applications that have been used in the planning process.https://www.cogitatiopress.com/urbanplanning/article/view/8576artificial intelligencedecision-makingdigital participationplanning phasessmart cityurban planning |
| spellingShingle | Frank Othengrafen Lars Sievers Eva Reinecke From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases Urban Planning artificial intelligence decision-making digital participation planning phases smart city urban planning |
| title | From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases |
| title_full | From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases |
| title_fullStr | From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases |
| title_full_unstemmed | From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases |
| title_short | From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases |
| title_sort | from vision to reality the use of artificial intelligence in different urban planning phases |
| topic | artificial intelligence decision-making digital participation planning phases smart city urban planning |
| url | https://www.cogitatiopress.com/urbanplanning/article/view/8576 |
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