In 2024, Jhelum's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic inefficiency index is relatively high, indicating potential areas for improvement in traffic management.
Traffic congestion tends to increase during the summer months due to higher travel activity. Winter sees a slight decrease in traffic as people prefer to stay indoors.
Frequent traffic jams during peak hours are a major concern for Jhelum's commuters. Limited public transport options force reliance on personal vehicles.
Early mornings before 8 AM are the best times to travel to avoid heavy traffic. Late evenings after 7 PM also see reduced traffic congestion.
Public events and festivals can significantly increase traffic congestion in the city center. Planning alternative routes during such events can help avoid delays.
Jhelum is exploring initiatives to introduce electric vehicles to reduce emissions. Efforts are underway to improve pedestrian infrastructure to encourage walking.
Ride-sharing services are gradually gaining popularity, offering a convenient alternative to car ownership. These services help reduce the number of vehicles on the road, potentially easing traffic congestion.
The Traffic Index for Pakistan combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Pakistan, to provide insights into overall traffic conditions.
Jhelum's reliance on cars for commuting contributes to high CO2 emissions and traffic inefficiencies.
Introducing public transport options could diversify commuting methods and reduce environmental impact.
Jhelum has a high CO2 emission index of 5453, primarily due to the exclusive use of cars.
Efforts to reduce emissions could focus on promoting alternative transport modes.
TimeThe time index of 21.5 suggests moderate traffic delays.
Improving road infrastructure could help reduce commute times.
InefficiencyThe inefficiency index is 60.66, indicating room for optimizing traffic flow.
Implementing smart traffic management systems could alleviate inefficiencies.