In 2024, Lillestrom's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode. The city's traffic data reveals significant CO2 emissions and inefficiencies, highlighting areas for potential improvement.
Traffic congestion tends to increase during winter months due to adverse weather conditions. Summer sees a slight decrease in traffic as residents often take vacations.
Heavy reliance on cars leads to frequent traffic jams, especially during peak hours. Limited public transportation options force commuters to depend on personal vehicles.
Early mornings before 7 AM and late evenings after 7 PM are the best times to avoid traffic congestion. Midday travel between 11 AM and 1 PM is also relatively smooth.
Public events in Lillestrom can significantly impact traffic, causing delays and increased congestion. Planning travel around major events can help avoid traffic disruptions.
Lillestrom is exploring initiatives to enhance public transportation and reduce car dependency. Efforts include expanding bicycle lanes and promoting electric vehicle usage.
Ride-sharing services are gradually gaining popularity, offering an alternative to personal car use. These services help reduce the number of vehicles on the road, potentially easing traffic congestion.
The Traffic Index for Norway combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Norway, to provide insights into overall traffic conditions.
Lillestrom's reliance on cars for commuting results in high CO2 emissions and traffic inefficiencies.
Introducing and promoting alternative transportation options could alleviate environmental and traffic concerns.
Lillestrom has a high CO2 emission index of 6650, indicating significant environmental impact.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index is 25, reflecting the average time spent commuting by car.
Traffic congestion contributes to inefficiencies in travel time.
InefficiencyThe inefficiency index is 82.66, suggesting room for improvement in traffic management.
Optimizing traffic flow could reduce inefficiencies and improve commute times.