Traffic Summary for Aryanah (Ariana)
In Aryanah, Tunisia, the primary mode of transportation is by car, accounting for 80% of all commutes. Walking is the second most common mode of transport, with 20% of residents choosing to travel on foot.
Average Commute Times
- Car - Car commutes take approximately 28.75 minutes of driving and 2.5 minutes of walking, covering 13.25 km.
- Walking - Walking commutes take about 25 minutes to cover a distance of 3 km.
Traffic Breakdown
Seasonal Trends
Traffic tends to increase during the summer months as tourism peaks. Winter months see a slight decrease in traffic due to cooler weather.
Commuter Pain Points
Heavy reliance on cars leads to frequent traffic jams. Limited public transportation options restrict commuting flexibility.
Best Travel Times
Early mornings before 7 AM are ideal for avoiding traffic. Late evenings after 8 PM see reduced congestion.
Event Impacts
Public events and festivals can significantly increase traffic congestion. Planning routes around event locations can help minimize delays.
Sustainability Efforts
The city is exploring initiatives to expand public transportation networks. Efforts are underway to promote eco-friendly commuting options like cycling.
Ride-Sharing Impact
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services help reduce the number of vehicles on the road, easing congestion.
Traffic Data
Overall average travel
Average when primarily using Car
Average when primarily using Walking
"Key Takeaways"
Increasing public transportation options could reduce car dependency and emissions.
Promoting cycling and walking can alleviate traffic congestion and improve air quality.
Key Indexes
EmissionsThe CO2 emission index is notably high at 6118.
This indicates a significant environmental impact from car usage.
TimeThe time index is 30, suggesting moderate traffic delays.
Commuters experience an average time expansion index of 109.43.
InefficiencyThe inefficiency index stands at 97.19, highlighting room for improvement in traffic management.
High reliance on cars contributes to inefficiencies.