Street View-Enabled Explainable Machine Learning for Spatial Optimization of Non-Motorized Transportation-Oriented Urban Design

Street View-Enabled Explainable Machine Learning for Spatial Optimization of Non-Motorized Transportation-Oriented Urban Design

To advance evidence-based urban design prioritizing non-motorized mobility, this study proposes a street view-enabled explainable machine learning framework that systematically links built environment semantics to non-motorized transportation vitality optimization. By integrating Baidu Street View i...

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Bibliographic Details
Main Authors: Yichen Ruan, Xiaoyi Zhang, Shaohua Wang, Xiuxiu Chen, Qiuxiao Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Land
Subjects:
street view imagery (SVI)
object detection
explainable machine learning (XAI)
Shapley additive explanation (SHAP)
non-motorized transportation (NMT)
Online Access:https://www.mdpi.com/2073-445X/14/7/1347
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https://www.mdpi.com/2073-445X/14/7/1347

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