Traffic Summary for Aix en Provence
Aix en Provence relies heavily on cars as the primary mode of transportation, with 100% of commuters using this method. The city's traffic inefficiency index is relatively high, indicating potential areas for improvement in transportation infrastructure.
Average Commute Times
- Car - Car commuters spend approximately 15 minutes driving over a distance of 10 kilometers.
Traffic Breakdown
Seasonal Trends
Traffic congestion tends to increase during the summer months due to tourism. Winter sees a slight decrease in traffic as fewer tourists visit the city.
Commuter Pain Points
High dependency on cars leads to frequent traffic jams during peak hours. Limited public transportation options restrict commuter flexibility.
Best Travel Times
Early mornings before 8 AM are generally the best times to travel to avoid congestion. Late evenings after 7 PM also see reduced traffic levels.
Event Impacts
Public events and festivals can significantly increase traffic congestion, especially in the city center. Planning routes ahead of time during events can help avoid delays.
Sustainability Efforts
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are underway to improve public transportation infrastructure to offer viable alternatives to car travel.
Ride-Sharing Impact
Ride-sharing services are gradually gaining popularity, offering a flexible alternative to car ownership. These services help reduce the number of vehicles on the road, potentially easing congestion.
Traffic Data
Overall average travel
Average when primarily using Car
"Key Takeaways"
Aix en Provence's transportation system is heavily car-dependent, leading to high CO2 emissions.
There is potential to improve traffic efficiency through infrastructure upgrades and alternative transport options.
Key Indexes
EmissionsThe CO2 emissions index is notably high at 3990, reflecting the heavy reliance on cars.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index is 16, indicating a moderate level of traffic congestion.
Improving road infrastructure could help reduce commute times.
InefficiencyThe inefficiency index stands at 39.67, suggesting room for optimization in traffic flow.
Implementing smart traffic management systems could enhance efficiency.