To estimate lost productivity hours due to traffic, we need to define the scope. Let's focus on the United States and consider only commute time for individuals traveling to and from their primary workplace, excluding business travel, personal errands, and other non-work-related driving. We also need to decide on a representative year, perhaps pre-pandemic for more typical conditions.
Assumptions & Calculation:
-
Working Population: Estimate the number of people employed in the US. A reasonable starting point is to consider the working-age population (e.g., 18-65) and apply an employment rate.
- US Population: ~330 million
- Working-age population (18-65): Roughly 60% = ~198 million
- Employment rate: Assume ~75% of working-age population is employed = ~148.5 million workers.
-
Average Commute Time: Estimate the average one-way commute time. Let's assume 30 minutes each way, so 1 hour per day.
-
Commute Days per Year: Assume 5 days a week for 50 weeks a year = 250 commute days.
-
Average Hours Lost to Traffic: This is the crucial estimate. We need to differentiate between total commute time and lost time due to congestion. Let's assume that out of the 1 hour daily commute, 15 minutes are directly attributable to traffic delays (i.e., the commute would take 45 minutes without traffic).
Calculation:
- Total hours lost per worker per year = 15 minutes/day * 250 days/year = 3750 minutes/year = 62.5 hours/year.
- Total productivity hours lost = 148.5 million workers * 62.5 hours/worker/year ≈ 9.3 billion hours.
This is a rough estimate. A more precise calculation would involve data on average commute distances, traffic speeds, and congestion indices.
Google