In 2024, Murfreesboro, TN, sees a complete reliance on cars for commuting, with no significant use of public transport or other modes. The city's traffic data highlights a need for sustainable transportation solutions to address high CO2 emissions and inefficiencies.
Traffic tends to increase during the summer months as tourism peaks. Winter months see a slight decrease in traffic due to adverse weather conditions.
High dependency on cars leads to congestion during peak hours. Limited public transportation options restrict commuting flexibility.
Early mornings before 7 AM and late evenings after 7 PM are the best times to avoid traffic. Midday travel is generally smoother with less congestion.
Public events such as festivals and sports games can significantly increase traffic congestion. Planning travel around these events can help avoid delays.
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are underway to improve public transportation infrastructure.
Ride-sharing services are gaining popularity, offering an alternative to personal car use. These services help reduce the number of vehicles on the road, 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.
Murfreesboro's complete reliance on cars for commuting presents environmental and efficiency challenges.
Implementing alternative transportation options could reduce CO2 emissions and improve traffic flow.
Murfreesboro has a high CO2 emission index of 4433.33, indicating significant environmental impact.
The reliance on cars contributes heavily to the city's carbon footprint.
TimeThe time index of 16.67 suggests moderate traffic delays during peak hours.
Efforts to reduce car dependency could improve commute times.
InefficiencyThe inefficiency index stands at 48.43, highlighting potential areas for improvement in traffic management.
Optimizing traffic flow could significantly reduce inefficiencies.