In 2024, Zelenograd's transportation landscape is dominated by car usage, with 100% of commuters relying on personal vehicles. This heavy reliance on cars has significant implications for commute times and environmental impact, as reflected in the city's traffic indexes.
Traffic congestion tends to increase during winter months due to adverse weather conditions. Summer sees a slight reduction in traffic as residents take vacations.
Long commute times due to car congestion are a major concern for Zelenograd residents. Limited public transportation options exacerbate reliance on personal vehicles.
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid heavy traffic. Midday travel is generally smoother, with less congestion compared to peak hours.
Public events and holidays can lead to significant traffic disruptions, especially in central areas. Planning travel around major events can help avoid delays.
Zelenograd is exploring initiatives to expand public transportation and reduce car dependency. Efforts include promoting cycling and walking as viable commuting options.
Ride-sharing services are gradually gaining popularity, offering an alternative to personal car use. These services can help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for Russia combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Russia, to provide insights into overall traffic conditions.
Zelenograd's heavy reliance on cars leads to high CO2 emissions and moderate traffic delays.
Introducing and promoting alternative transportation options could improve traffic efficiency and reduce environmental impact.
Zelenograd has a high CO2 emission index of 13300, indicating significant environmental impact from car usage.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index of 53 suggests moderate traffic delays, primarily due to car congestion.
Improving traffic flow could help reduce commute times.
InefficiencyThe inefficiency index of 238.56 highlights potential areas for improving traffic management.
Strategies to enhance public transport could alleviate inefficiencies.