Kenitra, Morocco, presents a unique transportation landscape with walking, train, and bus as the primary modes of commuting. In 2024, the city faces challenges with CO2 emissions and traffic inefficiencies, but opportunities for improvement are evident.
Traffic tends to increase during the summer months as tourists visit the city. Winter sees a slight decrease in walking commutes due to colder weather.
Long waiting times for buses and trains are a common complaint among commuters. Limited availability of alternative transport modes like bicycles and motorcycles.
Early mornings before 8 AM are the best times to travel to avoid congestion. Late evenings after 7 PM also see reduced traffic levels.
Public events and festivals can lead to significant traffic disruptions, particularly in the city center. Advance planning and temporary road closures are often implemented to manage traffic during these times.
Kenitra is exploring the expansion of green spaces and pedestrian zones to encourage walking. The city is also considering investments in electric buses to reduce emissions.
Ride-sharing services are gradually gaining popularity, offering flexible commuting options. These services help reduce the number of private cars on the road, contributing to lower traffic 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, train, and bus are equally popular, each accounting for about a third of the commuting methods.
Addressing inefficiencies in public transport could significantly improve commute times and reduce emissions.
Kenitra's CO2 emissions index is 393.33, indicating a moderate level of emissions.
Efforts to reduce emissions could focus on enhancing public transport efficiency.
TimeThe time index is 40.33, reflecting the average commute duration.
Optimizing public transport schedules could reduce waiting times.
InefficiencyThe inefficiency index stands at 103.42, suggesting room for improvement in traffic management.
Implementing smart traffic solutions could alleviate congestion.