Examples
Examples
Try the starting example
- Helmet purchase cost (USD)
- 300
- User-chosen ownership horizon (years)
- 5
- Expected rides per year (rides/year)
- 100
- Accessories/maintenance over horizon (USD)
- 50
- User residual value at horizon (USD)
- 0
- Total allocated ownership cost (USD)
- $350.00
- Planned total rides (rides)
- 500
- Allocated cost per ride (USD/ride)
- $0.70
Try another scenario
- Helmet purchase cost (USD)
- 300
- User-chosen ownership horizon (years)
- 5
- Expected rides per year (rides/year)
- 150
- Accessories/maintenance over horizon (USD)
- 50
- User residual value at horizon (USD)
- 0
- Total allocated ownership cost (USD)
- $350.00
- Planned total rides (rides)
- 750
- Allocated cost per ride (USD/ride)
- $0.466667
Calculation method
Calculation method
Total allocated ownership cost (USD)
purchase+accessory-residual.
Planned total rides (rides)
years*ridesPerYear.
Allocated cost per ride (USD/ride)
ownershipCost/plannedRides.
Symbols and units
- a
- Helmet purchase cost (USD)
- b
- User-chosen ownership horizon (years)
- c
- Expected rides per year (rides/year)
- d
- Accessories/maintenance over horizon (USD)
- e
- User residual value at horizon (USD)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- User budget allocation over a user-chosen horizon. Does not recommend helmet replacement timing, resale, certification or continued service. Supported limits: Costs>=0; residual<=purchase+accessories; years>0; rides integer>0.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.