In 2024, Svendborg's transportation landscape is dominated by trains and bicycles, each accounting for 50% of the commuting methods. The city is focusing on sustainable transportation, with zero reliance on cars, buses, or trams, highlighting a shift towards eco-friendly commuting.
Traffic tends to increase during summer months as tourists visit Svendborg, impacting train and bicycle availability. Winter sees a slight decrease in bicycle usage due to weather conditions, increasing train reliance.
Limited train schedules can lead to overcrowding during peak hours. Bicycle commuters face challenges during adverse weather conditions.
Early mornings and late evenings are the best times to avoid congestion on trains. Midday offers a smoother commute for cyclists, avoiding peak traffic.
Public events in Svendborg can significantly affect train schedules and bicycle parking availability. Festivals often lead to increased pedestrian traffic, impacting overall commute times.
Svendborg is investing in expanding bicycle lanes and improving train services to reduce carbon footprint. The city promotes public awareness campaigns to encourage eco-friendly commuting habits.
Ride-sharing services are not a primary mode of transport but offer flexibility during train service disruptions. These services complement the existing transport network, providing last-mile connectivity.
The Traffic Index for Denmark combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Denmark, to provide insights into overall traffic conditions.
Svendborg's reliance on trains and bicycles highlights a strong commitment to sustainable commuting.
There is potential to improve traffic efficiency by optimizing train schedules and infrastructure.
The CO2 emissions index is at 500, indicating moderate environmental impact.
Efforts to reduce emissions are crucial as the city relies heavily on trains and bicycles.
TimeThe time index is 72.5, reflecting moderate traffic delays.
Commuters experience minimal waiting times, enhancing travel efficiency.
InefficiencyThe inefficiency index stands at 306.42, suggesting room for improvement in traffic management.
Optimizing train schedules could further reduce inefficiencies.