Juiz de Fora, a bustling city in Brazil, showcases a diverse range of transportation modes with walking being the most popular. The city's traffic data for 2024 reveals significant insights into commute times and CO2 emissions, highlighting areas for potential improvement.
Traffic tends to increase during the rainy season, affecting commute times. Holiday periods see a decrease in traffic as residents travel out of the city.
Long waiting times for buses are a common complaint among commuters. Traffic congestion during peak hours leads to delays for car users.
Early mornings before 7 AM and late evenings after 7 PM are the best times to avoid traffic. Midday travel is generally smoother due to reduced congestion.
Public events in the city center can significantly disrupt traffic flow. Sports events and festivals often lead to temporary road closures and detours.
Juiz de Fora is investing in green public transport initiatives to lower emissions. The city promotes walking and cycling through improved infrastructure and awareness campaigns.
Ride-sharing services have helped reduce the number of private cars on the road. These services offer flexible commuting options, particularly during off-peak hours.
The Traffic Index for Brazil combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Brazil, to provide insights into overall traffic conditions.
Walking is the predominant mode of transport, accounting for 50% of all commutes.
Enhancing public transport and encouraging cycling could further reduce traffic congestion and emissions.
Juiz de Fora has a CO2 emission index of 1580, indicating a moderate level of emissions.
Efforts to reduce emissions could focus on increasing public transport efficiency and promoting non-motorized transport.
TimeThe average time index is 28.75, reflecting the typical commute duration.
Improving traffic flow and reducing waiting times could enhance overall commute efficiency.
InefficiencyThe inefficiency index stands at 48.25, suggesting room for improvement in traffic management.
Addressing bottlenecks and optimizing traffic signals may reduce inefficiencies.