In 2024, Si Sa Ket, Thailand, sees a predominant reliance on cars for commuting, with 100% of the population using this mode of transport. The city's traffic inefficiency and CO2 emissions are significant, highlighting areas for potential improvement in transportation infrastructure.
Traffic congestion tends to increase during the rainy season due to road conditions. Holiday periods see a rise in traffic as residents travel to visit family and friends.
Limited public transportation options force reliance on personal vehicles. Traffic congestion during peak hours leads to longer commute times.
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid traffic. Midday travel is generally smoother due to lower traffic volumes.
Local festivals and public holidays significantly impact traffic, causing increased congestion. Sporting events and cultural celebrations can lead to temporary road closures and detours.
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are underway to improve the efficiency of traffic signals and reduce idle times at intersections.
Ride-sharing services are slowly gaining popularity, offering an alternative to personal car use. These services help reduce the number of vehicles on the road, potentially easing 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.
Si Sa Ket's reliance on cars presents opportunities to diversify transportation options and reduce emissions.
Investing in public transport infrastructure could alleviate traffic inefficiencies and improve commute times.
Si Sa Ket has a high CO2 emission index of 7980, indicating significant environmental impact from transportation.
Efforts to reduce emissions could focus on promoting alternative modes of transport.
TimeThe time index of 30 suggests moderate traffic delays during peak hours.
Improving road infrastructure could help reduce commute times.
InefficiencyWith an inefficiency index of 117.46, there is room for optimizing traffic flow and reducing congestion.
Implementing smart traffic management systems could enhance efficiency.