In 2024, Bogor's traffic is predominantly car-based, with 60% of commuters using cars. A significant portion of the population, 40%, works from home, reducing overall traffic congestion.
Traffic tends to increase during the rainy season due to slower driving conditions. Holiday seasons see a decrease in traffic as many residents travel out of the city.
Heavy reliance on cars leads to frequent traffic jams, especially during rush hours. Limited public transportation options make commuting challenging for non-drivers.
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 and festivals can cause significant traffic disruptions, requiring road closures and detours. Residents are advised to plan alternative routes during major events.
Bogor is exploring initiatives to expand green spaces and promote cycling to reduce emissions. The city is considering incentives for electric vehicle adoption to lower CO2 levels.
Ride-sharing services have helped reduce the number of cars on the road, easing congestion. These services provide a flexible alternative for those without personal vehicles.
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.
Promoting remote work has effectively reduced traffic congestion in Bogor.
Investing in public transportation infrastructure could further decrease car dependency.
Bogor has a high CO2 emission index of 11970, indicating significant environmental impact.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index of 45 suggests moderate traffic delays during peak hours.
Encouraging flexible work hours could help alleviate peak time congestion.
InefficiencyWith an inefficiency index of 178.18, Bogor's traffic system faces challenges in optimizing flow.
Investments in smart traffic management systems could improve efficiency.