Hamburg, a bustling port city in Germany, showcases a diverse range of transportation options for its residents. In 2024, the city sees a balanced use of cars and trains, each accounting for over 25% of commutes, with a significant portion of the population also opting for walking and cycling.

Average Commute Times

The average commute involves 9.05 minutes of driving and 9.18 minutes on the train, covering a distance of 14.56 km.
  • Bus - Bus commuters spend approximately 19.67 minutes on the bus and 4.67 minutes walking, with a total distance of 11.24 km.
  • Car - Car users experience a driving time of 34.4 minutes, with minimal walking, covering 18.65 km.
  • Train - Train commuters spend 27.8 minutes on the train and 6.95 minutes walking, traveling 23.51 km.
  • Walking - Walking commutes take 14 minutes on foot, with additional time for other modes, covering 6.63 km.
Traffic Breakdown
Train
25%
Car
25%
Walking
16%
Bicycle
14%
Bus
11%
Home
4%
Tram
3%
Motorcycle
1%
Seasonal Trends

Traffic tends to increase during the summer months as tourists visit the city. Winter sees a shift towards more public transport use due to adverse weather conditions.

Commuter Pain Points

Congestion during peak hours remains a significant issue for car commuters. Public transport delays can disrupt schedules, particularly during adverse weather.

Best Travel Times

Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid traffic. Midday travel between 11 AM and 2 PM can also be less congested.

Event Impacts

Major events at the Hamburg Messe and Congress can lead to significant traffic disruptions. Concerts and sports events often cause increased congestion in surrounding areas.

Sustainability Efforts

Hamburg is investing in expanding its cycling infrastructure to promote eco-friendly commuting. The city is also enhancing its public transport network to reduce reliance on cars.

Ride-Sharing Impact

Ride-sharing services have helped reduce the number of cars on the road, easing congestion. These services provide flexible commuting options, particularly during off-peak hours.

Worldwide
Germany

Traffic Rankings

Hamburg ranks 3rd on the Traffic rankings in Germany. 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.

Worst to BestUpdated: Dec, 2024
Full Traffic Rankings

Traffic Data

The following traffic data has been gathered from 79 user contributions.
Overall average travel
Distance
9.0 miles
Walking
5.4 mins
Waiting
2.8 mins
Driving Car
9.1 mins
Bus / Trolley
3.0 mins
Bicycle
2.2 mins
Motorcycle
0.2 mins
Train
9.2 mins
Tram
0.9 mins
Other
0.3 mins
Total:
32.9 mins
Average when primarily using Bus
Distance
7.0 miles
Walking
4.7 mins
Waiting
4.4 mins
Bus / Trolley
19.7 mins
Train
3.4 mins
Total:
32.2 mins
Average when primarily using Car
Distance
11.6 miles
Walking
0.8 mins
Driving Car
34.4 mins
Total:
35.2 mins
Average when primarily using Train
Distance
14.6 miles
Walking
7.0 mins
Waiting
6.3 mins
Bus / Trolley
1.6 mins
Train
27.8 mins
Tram
1.3 mins
Other
0.9 mins
Total:
44.9 mins
Average when primarily using Walking
Distance
4.1 miles
Walking
14.0 mins
Waiting
2.8 mins
Bus / Trolley
1.2 mins
Bicycle
2.8 mins
Motorcycle
0.0 mins
Train
6.2 mins
Other
0.4 mins
Total:
27.3 mins
Hamburg Traffic

"Key Takeaways"

Encouraging the use of bicycles and public transport can help reduce CO2 emissions.

Improving public transport infrastructure could decrease commute times and increase efficiency.

Key Indexes

Emissions

Hamburg's CO2 emissions index is 2767.34, indicating a moderate environmental impact.

Efforts to reduce emissions could focus on increasing the use of bicycles and public transport.

Time

The average commute time index is 32.95, reflecting the time spent in transit.

Improving traffic flow and public transport efficiency could reduce commute times.

Inefficiency

The inefficiency index stands at 139.06, suggesting room for improvement in traffic management.

Addressing bottlenecks and optimizing traffic signals could enhance efficiency.