A reduction policy needs budget and a basis. But if “how much did the policy cut” can only be reported as an average-factor estimate, you can neither prove the impact nor justify the next budget.
The problem is the baseline for before-and-after. Unless before and after are measured the same way, you cannot tell whether the change came from the policy or from a factor update. An estimate on top of an estimate is not verified.
Continuously monitor emissions from logistics vehicles across your jurisdiction with DTG measurement. Because before and after the policy are measured with the same ISO 14083 standard data, you can present the size of the change with a basis.
The result is a policy-impact report grounded in standard data. Because it is a measured before-and-after — not an estimate — it explains itself with the same numbers before a council, residents or a higher authority.
Frequently asked
The key is to define the policy’s target scope and measure that scope consistently. Sample and scope design are tuned to the policy goal.
Where existing statistics are average-factor estimates, here you measure actual trips. Comparing before and after with the same measurement method is what gives verification its basis.