Applied Intelligence Briefing
Edge Analytics / Applied Intelligence BriefingCase study
Commercial property forecasts
A commercial-property forecasting framework combined business counts, population forecasts and property data to test six long-term growth scenarios across wastewater treatment works areas.
- Sector
- Water
- Method
- Scenario forecasting
- Horizon
- 30 years
Scenario evidence for long-term wastewater demand and resilience
The business challenge
How can commercial property demand be forecast credibly over 30 years?
Context
No single dataset measures commercial property numbers at the required wastewater-treatment, sector and business-size level. Available business counts are also volatile when divided into small geographic and sector cells.
Requirement
Develop a credible, transparent and proportionate method that avoided false precision while remaining consistent with the demographic evidence used in wider water-resource planning.
Method
- 01
Evidence preparation
Used ONS business-unit counts, population statistics and OS AddressBase Premium property data.
- 02
Consistent structure
Organised evidence across wastewater treatment works areas, 12 SIC sectors and four business-size categories.
- 03
Scenario modelling
Projected long-term activity using property-to-population ratios and alternative structural-growth assumptions.
Outputs & significance
A transparent range of futures
6
Six scenarios
Tested alternative commercial-property trajectories rather than presenting one deterministic future.
Detailed coverage
Produced outputs by wastewater area, 12 SIC sectors and four business-size categories.
Planning evidence
Created a consistent basis for wastewater demand, investment and resilience assessments.
Significance
Scenario modelling avoided false precision over a 30-year horizon
The methodology balanced spatial and sector detail with appropriate caution, producing transparent and internally consistent forecasts suitable for regulatory scrutiny.