An Integrated Framework for Multi-Objective Optimization of Night Lighting in Urban Residential Areas: Synergistic Control of Outdoor Activity Places Lighting and Indoor Light Trespass
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| Опубликовано в:: | ISPRS International Journal of Geo-Information vol. 14, no. 10 (2025), p. 397-422 |
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| Главный автор: | |
| Другие авторы: | , , , |
| Опубликовано: |
MDPI AG
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| Предметы: | |
| Online-ссылка: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 024 | 7 | |a 10.3390/ijgi14100397 |2 doi | |
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| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231472 |2 nlm | ||
| 100 | 1 | |a Fang, Wen | |
| 245 | 1 | |a An Integrated Framework for Multi-Objective Optimization of Night Lighting in Urban Residential Areas: Synergistic Control of Outdoor Activity Places Lighting and Indoor Light Trespass | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In the context of increasing urban night lighting, the phenomenon of light trespass in residential areas is becoming increasingly serious, affecting the night comfort and circadian rhythm of residents. Aiming at this problem, this paper takes the night lighting of activity places in old multi-story residential areas of Shijingshan, Beijing, as the research object, and proposes a research framework integrating parametric modeling, multi-objective optimization, correlation analysis, and scheme decision-making, aiming to trade off the two objectives of maximizing the night lighting of the activity places and minimizing indoor light intrusiveness. The study first establishes a parametric model based on Rhino and Grasshopper, combines the NSGA-II algorithm with multi-objective optimization simulation to obtain the Pareto optimal solution, analyzes the correlation between the design variables and the objective function by the Spearman method, and finally assists in the scheme decision-making by K-means clustering. The results showed that the streetlight heights (SH), distance between buildings and streetlights (DBS), and streetlight matrix types (SMT) were the key factors affecting lighting performance, which should be emphasized in the actual lighting design. Secondly, the Cluster2 solution set optimally performs the two objective functions. The 18th individual of Generation 15 (Gen. 15 Ind. 18) and Gen. 31 Ind. 42 are recommended, providing practical guidance for night lighting design in residential areas. The innovation of this study lies in applying multi-objective optimization and K-means clustering to optimize the night lighting environment in micro-spaces within old multi-story residential areas in cities, offering new insights for lighting design in similar scenarios. | |
| 651 | 4 | |a Beijing China | |
| 651 | 4 | |a China | |
| 653 | |a Lighting | ||
| 653 | |a Circadian rhythm | ||
| 653 | |a Correlation analysis | ||
| 653 | |a Optimization | ||
| 653 | |a Roads & highways | ||
| 653 | |a Residential areas | ||
| 653 | |a Light | ||
| 653 | |a Multiple objective analysis | ||
| 653 | |a Light pollution | ||
| 653 | |a Design | ||
| 653 | |a Decision making | ||
| 653 | |a Urban areas | ||
| 653 | |a Energy consumption | ||
| 653 | |a Quality standards | ||
| 653 | |a Exterior lighting | ||
| 653 | |a Remote sensing | ||
| 653 | |a Cluster analysis | ||
| 653 | |a Outdoor activities | ||
| 653 | |a Clustering | ||
| 653 | |a Prevention | ||
| 653 | |a Objective function | ||
| 653 | |a Melatonin | ||
| 653 | |a Trespassing | ||
| 653 | |a Pareto optimization | ||
| 653 | |a Night | ||
| 653 | |a Circadian rhythms | ||
| 653 | |a Neighborhoods | ||
| 653 | |a Vector quantization | ||
| 700 | 1 | |a Sun Wenqi | |
| 700 | 1 | |a Jiang, Ling | |
| 700 | 1 | |a Yun Caixia | |
| 700 | 1 | |a Wang, Xinzheng | |
| 773 | 0 | |t ISPRS International Journal of Geo-Information |g vol. 14, no. 10 (2025), p. 397-422 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3265911154/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3265911154/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3265911154/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |