In 2024, Sohar, Oman, sees a predominant reliance on cars for commuting, with 75% of the population using this mode of transport. Walking accounts for 25% of the commuting methods, reflecting a significant pedestrian presence in the city.
Traffic congestion tends to increase during the summer months due to higher tourist activity. Winter sees a slight decrease in traffic as temperatures drop, making walking more appealing.
Long commute times for car users due to traffic congestion are a major concern. Limited public transportation options restrict commuting flexibility for residents.
Early mornings before 7 AM are the best times to travel to avoid peak traffic. Late evenings after 8 PM also offer reduced traffic congestion.
Public events and festivals in Sohar can lead to temporary road closures and increased traffic. Planning travel around these events can help avoid delays.
Sohar is exploring initiatives to enhance public transport and reduce car dependency. Efforts to increase green spaces and pedestrian zones are underway to promote sustainable commuting.
Ride-sharing services are gaining popularity, offering an alternative to car ownership. These services help reduce the number of vehicles on the road, potentially easing traffic congestion.
The Traffic Index for Oman combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Oman, to provide insights into overall traffic conditions.
Promoting public transportation and cycling could reduce reliance on cars and lower CO2 emissions.
Improving pedestrian infrastructure may encourage more walking, further decreasing traffic congestion.
Sohar's CO2 emission index is notably high at 12435.5, indicating significant environmental impact.
Efforts to reduce emissions could focus on promoting alternative transport methods.
TimeThe time index of 48.5 suggests moderate traffic delays, primarily affecting car users.
Strategies to improve traffic flow could enhance commute efficiency.
InefficiencyThe inefficiency index stands at 768.9, highlighting potential areas for traffic management improvements.
Addressing inefficiencies could reduce overall commute times and environmental impact.