In 2024, Gandhinagar's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic patterns reveal significant CO2 emissions and inefficiencies, highlighting areas for potential improvement.
Traffic tends to increase during the monsoon season due to adverse weather conditions. Winter months see a slight decrease in traffic as cooler temperatures make walking more appealing.
Heavy reliance on cars leads to frequent traffic jams, especially during peak hours. Limited public transportation options restrict commuter flexibility.
Traveling before 8 AM or after 7 PM can help avoid peak traffic congestion. Midday travel between 11 AM and 2 PM is generally smoother with less traffic.
Public events and festivals can cause significant traffic disruptions, particularly in central areas. During major events, road closures and diversions are common, leading to increased travel times.
Gandhinagar is exploring initiatives to promote electric vehicles and reduce carbon emissions. Efforts to expand green spaces and pedestrian-friendly zones are underway to encourage walking.
Ride-sharing services are gaining popularity, offering an alternative to personal car use. These services help reduce the number of vehicles on the road, potentially easing traffic congestion.
The Traffic Index for India combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in India, to provide insights into overall traffic conditions.
Reducing car dependency could significantly lower CO2 emissions and improve traffic efficiency.
Investing in alternative transportation infrastructure, such as public transit or cycling paths, may alleviate traffic congestion.
Gandhinagar has a high CO2 emission index of 5985, indicating significant environmental impact.
The reliance on cars contributes heavily to the city's carbon footprint.
TimeThe time index of 30 suggests moderate traffic delays during commutes.
Commuters experience an average time expenditure index of 109.43, reflecting inefficiencies.
InefficiencyThe inefficiency index of 112.77 highlights potential areas for improving traffic flow.
High car dependency contributes to traffic inefficiencies.