Make more of the capacity already there.
Connecting demand forecasts, loading decisions and revenue management in ferry operations.
External case study
Original work: Molslinjen × Halfspace. Commentary by Meromorphic.
Problem
A ferry operator must manage uncertain passenger and vehicle demand within physical capacity and departure constraints. Forecasting matters because its output changes loading and commercial decisions.
Result
The project team reports fewer and shorter departure delays and a 3% reduction in fuel costs and emissions.
Method
Pinson and coauthors describe a forecasting and revenue-management toolbox developed by Molslinjen and Halfspace, combining demand prediction with operational and pricing workflows.
Why it matters
Connecting demand forecasts to loading and pricing decisions helps an operator make better use of existing capacity.
Methodology and limitations
- The reported improvements apply to this deployment; transfer to another operation depends on its demand, capacity and operating rules.
- The credited port photograph provides context and does not depict the Molslinjen deployment.