Statistical Summary of 10 Independent Runs for Bike-Sharing Optimization

A 5.5 KB Excel file summarizing 10 independent runs of a bike-sharing optimization algorithm. The dataset, created by Jianrong Cai and uploaded to figshare in April 2026, likely contains performance metrics from a proposed Dynamic pricing-based Stochastic Demand-Response Optimization (DSDRO) method.

Use Cases

• Benchmarking algorithm stability based on the coefficient of variation metric
• Comparing revenue and profit improvements from dynamic pricing models
• Analyzing cost reductions from rebalancing algorithms
• Evaluating spatiotemporal demand patterns in bike-sharing systems

Strengths

• Algorithm stability confirmed with a coefficient of variation below 5% across 10 runs
• Dynamic pricing alone increased revenue by over 300% relative to fixed pricing in experiments
• The Large-scale Neighborhood Search component reduced rebalancing cost by 76.21%

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect temporal or source bias inherent to the specific operational context used

Provenance

Source

figshare

Collection Method

Numerical experiments based on real operational data, as described by the author.

Freshness

Last updated 2026-04-16 17:40:13