Correlation of meteorological features.

<div><p>The seamless integration of shared bikes and metro systems promotes green and eco-friendly travel, yet the supply-demand imbalance of shared bikes around metro stations remains a critical challenge, making accurate demand prediction particularly crucial. Targeting metro-adjacent...

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Bibliographic Details
Main Author:	Xue Xing (20756069) (author)
Other Authors:	Le Wan (4905928) (author), Fahui Luo (21722006) (author)
Published:	2025
Subjects:	Ecology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified series forecasting methods proposed model achieves predictive model integrating outperforming baseline models mean absolute error capture spatial correlations term temporal dependencies div >< p shared bike resources final demand prediction shared bike demand prediction bike demand term memory shared bikes prediction accuracy demand imbalance traditional time targeting metro study proposes shenzhen demonstrate seamless integration multilayer perceptron metro usage metro datasets metro connectivity learn long great significance friendly travel experiments conducted effectively filtering critical challenge buffer zones assist operators approximately 24 adjacent areas
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Correlation of meteorological features.

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