In 2024, Waukesha, WI, sees a complete reliance on cars for commuting, with no significant use of public transport or other modes. The average commute time for drivers is approximately 28 minutes, with a notable CO2 emission index reflecting the environmental impact.
Traffic tends to increase during the winter months due to adverse weather conditions affecting driving. Summer sees a slight decrease in traffic congestion as residents take vacations.
Heavy reliance on cars leads to frequent traffic jams, especially during rush hours. Limited public transportation options force residents to depend on personal vehicles.
Early mornings before 7 AM and late evenings after 7 PM are the best times to avoid traffic. Midday travel between 10 AM and 2 PM is generally smoother.
Local events such as fairs and sports games can significantly increase traffic congestion. Planning travel around major events is advisable to avoid delays.
Waukesha is exploring initiatives to expand public transportation and reduce car dependency. Efforts are underway to encourage cycling and walking through improved infrastructure.
Ride-sharing services are slowly gaining popularity, offering an alternative to personal car use. These services help reduce the number of vehicles on the road, potentially easing congestion.
The Traffic Index for the United States combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in United States, to provide insights into overall traffic conditions.
Waukesha's complete reliance on cars presents opportunities to introduce alternative transportation methods.
Efforts to reduce CO2 emissions could focus on promoting public transport and carpooling.
Waukesha's CO2 emission index is notably high at 7448, indicating a significant environmental impact.
The reliance on cars contributes heavily to the city's carbon footprint.
TimeThe time index of 28 suggests moderate traffic delays during peak hours.
Commuters experience an average time expansion index of 47.81, reflecting potential delays.
InefficiencyThe inefficiency index is 94.96, highlighting potential areas for improvement in traffic management.
High inefficiency is largely due to the exclusive use of cars.