Traffic Summary for Marinha Grande
In 2024, Marinha Grande, Portugal, sees a heavy reliance on cars as the primary mode of transportation, with 100% of commuters using this method. The city's traffic inefficiency index stands at 22.86, indicating room for improvement in traffic management and infrastructure.
Average Commute Times
- Car - Commuters using cars experience a driving time of 10 minutes for a 4 km journey.
Traffic Breakdown
Seasonal Trends
Traffic congestion tends to increase during the summer months due to tourism. Winter months see a slight decrease in traffic as residents tend to stay indoors more.
Commuter Pain Points
Limited public transportation options force reliance on cars. Traffic congestion during peak hours leads to delays and frustration.
Best Travel Times
Early mornings before 8 AM and late evenings after 7 PM are the best times to avoid traffic. Midday travel between 11 AM and 2 PM can also be less congested.
Event Impacts
Local festivals and public holidays can significantly increase traffic congestion. Planning travel around these events can help avoid delays.
Sustainability Efforts
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Investments in electric vehicle infrastructure are being considered to lower emissions.
Ride-Sharing Impact
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services could help reduce the number of vehicles on the road, easing congestion.
Traffic Rankings
The Traffic Index for Portugal combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Portugal, to provide insights into overall traffic conditions.
Traffic Data
Overall average travel
Average when primarily using Car
"Key Takeaways"
Marinha Grande's transportation system is heavily car-dependent, leading to high CO2 emissions.
There is significant potential to improve traffic efficiency and reduce environmental impact by diversifying transportation options.
Key Indexes
EmissionsThe CO2 emissions index is notably high at 2660, reflecting the city's reliance on cars.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index is 10, suggesting moderate traffic delays.
Improving road infrastructure could help reduce commute times.
InefficiencyThe inefficiency index is 22.86, indicating potential for optimizing traffic flow.
Implementing smart traffic management systems could alleviate inefficiencies.