In 2024, Yogyakarta's traffic landscape is dominated by motorcycles, which account for nearly 59% of all commutes. Walking is the second most popular mode of transportation, highlighting the city's pedestrian-friendly infrastructure.
Traffic tends to increase during the rainy season, as more people opt for motorized transport. Holiday seasons see a spike in traffic due to increased tourism and local travel.
Heavy reliance on motorcycles can lead to congestion in narrow streets. Limited public transportation options force many to rely on personal vehicles.
Early mornings and late evenings are the best times to travel to avoid peak traffic. Midday travel is generally smoother due to reduced commuter volume.
Cultural festivals and university events can significantly impact traffic flow, causing delays. Planning routes around major events can help avoid congestion.
Yogyakarta is exploring the introduction of electric buses to reduce emissions. Bike-sharing programs are being considered to promote eco-friendly travel.
Ride-sharing services are gaining popularity, offering flexible commuting options. These services help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for Indonesia combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Indonesia, to provide insights into overall traffic conditions.
Motorcycles are the most efficient mode of transport in Yogyakarta, minimizing commute times.
Improving public transportation could help reduce CO2 emissions and traffic inefficiencies.
Yogyakarta has a high CO2 emissions index of 3025.88, largely due to the prevalent use of motorcycles.
Efforts to reduce emissions could focus on promoting electric vehicles and enhancing public transport.
TimeThe average time index is 26.94, indicating moderate traffic delays.
Motorcycle usage helps mitigate time spent in traffic compared to cars.
InefficiencyThe inefficiency index stands at 137.88, suggesting room for improvement in traffic management.
Streamlining traffic flow and optimizing signal timings could reduce inefficiencies.