Tetouan, a city in Morocco, exhibits a unique transportation pattern with a high percentage of walking as the primary mode of commuting. In 2024, the city's traffic data reveals significant insights into commute times, CO2 emissions, and transportation inefficiencies.
Traffic tends to increase during the summer months as tourists visit the city. Winter months see a slight decrease in walking due to cooler temperatures.
Limited public transportation options can make commuting challenging for those without cars. Traffic congestion during peak hours can lead to delays, especially for car commuters.
Early mornings and late evenings are the best times to travel to avoid congestion. Midday travel is generally smoother due to lower traffic volumes.
Public events and festivals can significantly impact traffic, leading to increased congestion. Planning alternative routes during events can help mitigate delays.
Tetouan is exploring initiatives to promote cycling and walking to reduce emissions. Efforts are underway to enhance green spaces and pedestrian-friendly areas.
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services can help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for Morocco combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Morocco, to provide insights into overall traffic conditions.
Walking is the predominant mode of transportation in Tetouan, accounting for 60% of commutes.
There is potential to improve traffic efficiency and reduce CO2 emissions through sustainable practices.
Tetouan's CO2 emissions index is 1489.6, indicating a moderate level of emissions.
Efforts to reduce emissions could focus on promoting public transport and cycling.
TimeThe average time index is 18, reflecting the typical commute duration in the city.
Efficient traffic management could help reduce commute times further.
InefficiencyThe traffic inefficiency index stands at 44.8, suggesting room for improvement in traffic flow.
Implementing smart traffic solutions could enhance overall efficiency.