In 2024, Nonthaburi's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic inefficiency and CO2 emissions are significant, highlighting areas for potential improvement in public transportation and sustainability efforts.
Traffic congestion tends to increase during the rainy season due to waterlogged roads. Holiday seasons see a slight decrease in traffic as residents travel out of the city.
Heavy reliance on cars leads to frequent traffic jams, especially during peak hours. Limited public transportation options force residents to depend on personal vehicles.
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid traffic congestion. Midday travel is generally smoother, avoiding the rush hour peaks.
Public events and festivals can cause significant traffic disruptions, requiring road closures and diversions. Planning travel around major events is advisable to avoid delays.
Nonthaburi is exploring initiatives to introduce more public transport options, such as buses and trains, to reduce car dependency. Efforts to promote cycling and walking are being considered to lower the city's carbon footprint.
Ride-sharing services are gaining popularity, offering an alternative to car ownership and helping to reduce the number of vehicles on the road. These services can alleviate parking issues and contribute to lower traffic congestion.
The Traffic Index for Thailand combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Thailand, to provide insights into overall traffic conditions.
Nonthaburi's reliance on cars for commuting is total, indicating a need for diversified transportation options.
Addressing high CO2 emissions and traffic inefficiencies should be a priority for city planners.
Nonthaburi has a high CO2 emission index of 3990, indicating significant environmental impact.
Efforts to reduce emissions could focus on increasing public transport options and reducing car dependency.
TimeThe average time index is 15, suggesting moderate traffic delays.
Improving traffic flow could help reduce commute times further.
InefficiencyThe traffic inefficiency index stands at 39.67, reflecting potential areas for improvement in traffic management.
Enhancing road infrastructure and traffic signal optimization could alleviate inefficiencies.