Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework

Abstract Global population aging highlights the need to understand how the elderly perceive safety in urban public spaces. This study used image semantic segmentation to identify key visual elements from panoramic images. A dataset was created by combining manual scoring with deep learning to explor...

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Bibliographic Details
Main Authors: Shengzhen Wu, Sichao Wu, Jingru Chen, Chen Pan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Elderly environmental safety perception
Pocket parks
Panoramic imagery
Machine learning
SHAP
Urban planning
Online Access:https://doi.org/10.1038/s41598-025-12541-2
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https://doi.org/10.1038/s41598-025-12541-2

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