Kuala Terengganu's transportation landscape in 2024 is dominated by walking, car usage, and motorcycles, each accounting for a third of the commuting methods. With relatively low CO2 emissions and moderate traffic inefficiency, the city presents a balanced yet challenging commuting environment.
Traffic tends to increase during the monsoon season due to adverse weather conditions. Holiday seasons see a spike in traffic as locals travel to visit family and friends.
Limited public transportation options lead to higher reliance on personal vehicles. Traffic congestion during peak hours can cause delays and increase travel times.
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid traffic. Midday travel between 11 AM and 1 PM is also relatively smooth.
Public events such as festivals and cultural celebrations can significantly increase traffic congestion. Road closures for events often lead to detours and longer travel times.
The city is exploring the expansion of pedestrian zones to encourage walking. Initiatives to introduce electric buses are underway to reduce emissions.
Ride-sharing services are gaining popularity, helping to reduce the number of cars on the road. These services provide a flexible alternative to traditional public transport, especially during off-peak hours.
The Traffic Index for Malaysia combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Malaysia, to provide insights into overall traffic conditions.
Promoting alternative transportation methods like cycling could help reduce traffic inefficiency.
Enhancing public transport infrastructure could lower CO2 emissions and improve commute times.
The CO2 emissions index stands at 3903.33, indicating a moderate level of emissions.
Efforts to reduce emissions could focus on promoting public transport and reducing car dependency.
TimeThe time index is 21.67, reflecting the average commute duration.
Improving road infrastructure could help reduce commute times further.
InefficiencyThe inefficiency index is 72.97, suggesting room for improvement in traffic management.
Implementing smart traffic systems could alleviate congestion.