Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution
Public space lighting in urban areas is a crucial issue linked to climate change in developed environments. It significantly influences aesthetics, functionality, and the sense of safety while also contributing to the problem of light pollution. However, addressing these challenges requires a balanc...
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| Format: | Article |
| Language: | English |
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Cogitatio
2025-05-01
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| Series: | Urban Planning |
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| Online Access: | https://www.cogitatiopress.com/urbanplanning/article/view/9217 |
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| author | Jan Cudzik Michał Nessel Victor Moczarski |
| author_facet | Jan Cudzik Michał Nessel Victor Moczarski |
| author_sort | Jan Cudzik |
| collection | DOAJ |
| description | Public space lighting in urban areas is a crucial issue linked to climate change in developed environments. It significantly influences aesthetics, functionality, and the sense of safety while also contributing to the problem of light pollution. However, addressing these challenges requires a balance between technical optimization and environmental considerations, which this study explores through an experimental approach. This study examines the application of advanced digital technologies in designing and optimizing public space lighting, particularly in parks. The focus is on presenting a modular algorithm as a foundation for iterative improvements rather than a fully comprehensive lighting design solution. The article presents an algorithm that iteratively determines the optimal number and placement of lamps based on expected lighting levels. While illuminance levels are considered, future extensions could include additional parameters such as glare, uniformity, and color temperature to meet professional standards. This method has significant potential for involving public space users in lighting optimization. The algorithm relies on expected lighting levels, which can be derived from standards and designer decisions. However, user expectations can also be incorporated into simulations. For instance, an interactive application could allow users to highlight under‐illuminated or overly bright areas, contributing to a co‐created desired lighting map. Lighting levels can be precisely calculated, yet users’ subjective perceptions may be crucial in achieving soft, nature‐friendly lighting. The article presents the algorithm and discusses the potential of designer‐computer and designer‐computer‐user co‐creation for human‐ and nature‐friendly design. This modular framework lays the groundwork for future refinements by integrating professional input and addressing broader lighting parameters. |
| format | Article |
| id | doaj-art-7ca10eb120c84c40a31746aea4628b9c |
| institution | DOAJ |
| issn | 2183-7635 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Cogitatio |
| record_format | Article |
| series | Urban Planning |
| spelling | doaj-art-7ca10eb120c84c40a31746aea4628b9c2025-08-20T03:09:24ZengCogitatioUrban Planning2183-76352025-05-0110010.17645/up.92174160Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light PollutionJan Cudzik0Michał Nessel1Victor Moczarski2Faculty of Architecture, Gdańsk University of Technology, PolandFaculty of Architecture, Cracow University of Technology, PolandOutline AI, PolandPublic space lighting in urban areas is a crucial issue linked to climate change in developed environments. It significantly influences aesthetics, functionality, and the sense of safety while also contributing to the problem of light pollution. However, addressing these challenges requires a balance between technical optimization and environmental considerations, which this study explores through an experimental approach. This study examines the application of advanced digital technologies in designing and optimizing public space lighting, particularly in parks. The focus is on presenting a modular algorithm as a foundation for iterative improvements rather than a fully comprehensive lighting design solution. The article presents an algorithm that iteratively determines the optimal number and placement of lamps based on expected lighting levels. While illuminance levels are considered, future extensions could include additional parameters such as glare, uniformity, and color temperature to meet professional standards. This method has significant potential for involving public space users in lighting optimization. The algorithm relies on expected lighting levels, which can be derived from standards and designer decisions. However, user expectations can also be incorporated into simulations. For instance, an interactive application could allow users to highlight under‐illuminated or overly bright areas, contributing to a co‐created desired lighting map. Lighting levels can be precisely calculated, yet users’ subjective perceptions may be crucial in achieving soft, nature‐friendly lighting. The article presents the algorithm and discusses the potential of designer‐computer and designer‐computer‐user co‐creation for human‐ and nature‐friendly design. This modular framework lays the groundwork for future refinements by integrating professional input and addressing broader lighting parameters.https://www.cogitatiopress.com/urbanplanning/article/view/9217agent‐based modelingco‐creation in urban designdigital design technologieslighting optimization algorithmsparks lighting designparticipatory designpublic space lightingsustainable urban planningurban lighting design |
| spellingShingle | Jan Cudzik Michał Nessel Victor Moczarski Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution Urban Planning agent‐based modeling co‐creation in urban design digital design technologies lighting optimization algorithms parks lighting design participatory design public space lighting sustainable urban planning urban lighting design |
| title | Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution |
| title_full | Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution |
| title_fullStr | Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution |
| title_full_unstemmed | Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution |
| title_short | Co‐Creation in Automated Public Space Lighting Design: Enhancing Safety and Reducing Light Pollution |
| title_sort | co creation in automated public space lighting design enhancing safety and reducing light pollution |
| topic | agent‐based modeling co‐creation in urban design digital design technologies lighting optimization algorithms parks lighting design participatory design public space lighting sustainable urban planning urban lighting design |
| url | https://www.cogitatiopress.com/urbanplanning/article/view/9217 |
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