An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville

This study analyzes factors affecting bike sharing usage and the need for rebalancing in Barcelona and Seville. Using mixed linear and binary logit models, the authors identify key predictors of demand, including infrastructure and demographic characteristics. Results show that bike-sharing demand increases in high-density areas with mixed land use, but rebalancing needs vary based on the temporal and spatial distribution of demand. Findings offer insights for cities to enhance bike-sharing system management through targeted rebalancing.

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