Traffic Summary for Muelheim an der Ruhr
In 2024, Muelheim an der Ruhr sees a dominant reliance on train travel, with 100% of commuters using this mode. The city's traffic data reveals significant insights into commute times and CO2 emissions, providing a clear picture of transportation trends.
Average Commute Times
- Train - Train commuters spend 40 minutes waiting and 28 minutes traveling, covering a distance of 25 km.
Traffic Breakdown
Seasonal Trends
Winter months may see increased train delays due to weather conditions, impacting commute times. Summer festivals can lead to temporary spikes in public transport usage, requiring additional services.
Commuter Pain Points
Long waiting times for trains can be frustrating for daily commuters. Limited alternative transport options increase reliance on the train network.
Best Travel Times
Traveling outside peak hours, such as mid-morning or early afternoon, can reduce commute times. Weekends generally offer smoother travel experiences with fewer delays.
Event Impacts
Large public events, such as local festivals, can significantly impact train schedules and increase passenger volumes. Advance planning and additional train services during events can help manage traffic flow.
Sustainability Efforts
Muelheim an der Ruhr is exploring the integration of electric trains to reduce carbon emissions. Public campaigns encourage the use of public transport over private vehicles to lower the city's carbon footprint.
Ride-Sharing Impact
Ride-sharing services are not yet a major factor in Muelheim an der Ruhr's transport landscape. Potential exists for ride-sharing to complement public transport, especially during off-peak hours.
Traffic Rankings
The Traffic Index for Germany combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Germany, to provide insights into overall traffic conditions.
Traffic Data
Overall average travel
Average when primarily using Train
"Key Takeaways"
Train travel is the backbone of Muelheim an der Ruhr's transportation system, necessitating investments in rail infrastructure.
Addressing high CO2 emissions should be a priority, potentially through increased use of renewable energy in public transport.
Key Indexes
EmissionsThe CO2 emission index is notably high at 1180, indicating significant environmental impact.
Efforts to reduce emissions could focus on enhancing public transport efficiency.
TimeThe time index is 96, reflecting moderate delays in the transportation system.
Improving train schedules could help reduce waiting times.
InefficiencyThe inefficiency index stands at 332.85, suggesting room for optimization in the transport network.
Streamlining connections between different transport modes may alleviate inefficiencies.