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Spatial distribution of communities and activity locations of weekdays and weekends

Spatial distribution of communities and activity locations of weekdays and weekends

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Fig. 1. Spatial distribution of communities and activity locations of...
Fig. 2. Ranking of mean absolute SHAP values of all factors for eating...
Fig. 3. Ranking of mean absolute SHAP values of all factors for leisure...
Fig. 4. Ranking of mean absolute SHAP values of all factors for...
Fig. 5. Ranking of mean absolute SHAP values of all factors for...
Understanding factors associated with individuals' non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China
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  • Sep 2024
Non-mandatory activities (e.g., shopping and leisure) are irregular in space and time, resulting in complex interactions between individuals and urban spaces. Understanding the associated factors of non-mandatory activities is vital for effective urban transport planning and management. This study uses travel survey data from Guangzhou, China, and...
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