Predicting Bicycle-Lane Traffic Noise from Urban Street Morphology Using Interpretable Machine Learning Models
- DOI
- 10.3390/buildings16102023
- Published
- 2026-05-20
- Container
- Buildings
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/buildings16102023,
title = {Predicting Bicycle-Lane Traffic Noise from Urban Street Morphology Using Interpretable Machine Learning Models},
author = {Hupeng Wu and Qiang Wen and Xinxin Li and Jian Kang},
year = {2026},
journal = {Buildings},
doi = {10.3390/buildings16102023},
url = {https://doi.org/10.3390/buildings16102023}
}RIS
TY - JOUR TI - Predicting Bicycle-Lane Traffic Noise from Urban Street Morphology Using Interpretable Machine Learning Models AU - Hupeng Wu AU - Qiang Wen AU - Xinxin Li AU - Jian Kang PY - 2026 JO - Buildings DO - 10.3390/buildings16102023 UR - https://doi.org/10.3390/buildings16102023 ER -
APA
Wu, H., Wen, Q., Li, X., & Kang, J. (2026). Predicting Bicycle-Lane Traffic Noise from Urban Street Morphology Using Interpretable Machine Learning Models. Buildings. https://doi.org/10.3390/buildings16102023
Source records
- crossref · retrieved 2026-11-11T04:26:33.169Z