Traffic Summary for Annaba
In 2024, Annaba's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic patterns reveal significant CO2 emissions and moderate inefficiency, indicating areas for potential improvement.
Average Commute Times
- Car - Car commuters in Annaba spend approximately 10 minutes driving and 5 minutes walking, covering a distance of 2.9 km.
Traffic Breakdown
Seasonal Trends
Traffic tends to increase during the summer months as tourists visit the coastal city. Winter months see a slight decrease in traffic as weather conditions deter travel.
Commuter Pain Points
Heavy reliance on cars leads to congestion during peak hours. Limited public transportation options restrict commuter flexibility.
Best Travel Times
Early mornings before 8 AM and late evenings after 7 PM are the best times to avoid traffic. Midday travel is generally smoother due to lower traffic volumes.
Event Impacts
Public events and festivals can cause significant traffic disruptions, particularly in the city center. Planning travel around these events can help avoid delays.
Sustainability Efforts
Annaba is exploring initiatives to introduce more public transport options to reduce car dependency. Efforts to increase green spaces and pedestrian-friendly areas are underway to encourage walking.
Ride-Sharing Impact
Ride-sharing services are slowly gaining popularity, offering a potential reduction in personal car use. These services could play a crucial role in decreasing traffic congestion and emissions.
Traffic Data
Overall average travel
Average when primarily using Car
"Key Takeaways"
Annaba's transportation system is heavily car-dependent, leading to high CO2 emissions.
Introducing and promoting alternative modes of transport could alleviate traffic inefficiencies and reduce environmental impact.
Key Indexes
EmissionsAnnaba has a high CO2 emission index of 2660, reflecting the heavy reliance on cars.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index is 15, indicating a relatively short average commute time.
Despite the short commute, inefficiencies are present due to the exclusive use of cars.
InefficiencyThe inefficiency index stands at 22.86, suggesting room for improvement in traffic management.
Strategies to enhance traffic flow could significantly reduce inefficiencies.