Graz, Austria, offers a diverse range of transportation options, with cycling being the most popular mode. The city's transportation system reflects a strong commitment to sustainability, with a significant portion of commuters opting for eco-friendly methods.

Average Commute Times

The average commute involves 1.5 minutes waiting, 7.31 minutes driving, and 6.41 minutes walking over a distance of 12.90 km.
  • Bus - Bus commuters spend 2.5 minutes waiting and 15 minutes on the bus, covering a distance of 3.75 km.
  • Car - Car users experience a 26-minute drive and a short 2.78-minute walk, traveling approximately 21.89 km.
  • Train - Train journeys involve 12.5 minutes waiting and 60 minutes on the train, with a total distance of 64 km.
  • Walking - Walking commutes take about 20.83 minutes, with some time spent on other modes like trams and buses.
Traffic Breakdown
Bicycle
30%
Car
27%
Walking
18%
Bus
12%
Train
6%
Tram
3%
Home
3%
Seasonal Trends

Traffic tends to increase during the winter months as more people opt for cars over bicycles. Spring and summer see a rise in cycling, reducing congestion and emissions.

Commuter Pain Points

Limited parking spaces in the city center create challenges for car commuters. Bus and train delays during peak hours can lead to longer commute times.

Best Travel Times

Early mornings before 7 AM and late evenings after 7 PM are ideal for avoiding traffic congestion. Midday travel between 11 AM and 2 PM is also less congested.

Event Impacts

Public events, such as festivals and sports events, can significantly increase traffic, especially in the city center. Planning alternative routes during major events can help avoid delays.

Sustainability Efforts

Graz is investing in expanding its cycling infrastructure to promote eco-friendly commuting. The city is also enhancing its public transport network to reduce car dependency.

Ride-Sharing Impact

Ride-sharing services are gaining popularity, offering flexible commuting options and reducing the need for personal vehicles. These services help alleviate parking issues and contribute to lower traffic congestion.

Worldwide
Austria

Traffic Rankings

Graz ranks 1st on the Traffic rankings in Austria. The Traffic Index for Austria combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Austria, to provide insights into overall traffic conditions.

Worst to BestUpdated: Dec, 2024

Traffic Data

The following traffic data has been gathered from 33 user contributions.
Overall average travel
Distance
8.0 miles
Walking
6.4 mins
Waiting
1.5 mins
Driving Car
7.3 mins
Bus / Trolley
2.3 mins
Bicycle
6.1 mins
Motorcycle
0.0 mins
Train
3.8 mins
Tram
0.6 mins
Other
1.1 mins
Total:
29.2 mins
Average when primarily using Bus
Distance
2.3 miles
Walking
1.8 mins
Waiting
2.5 mins
Bus / Trolley
15.0 mins
Total:
19.3 mins
Average when primarily using Car
Distance
13.6 miles
Walking
2.8 mins
Driving Car
26.0 mins
Total:
28.8 mins
Average when primarily using Train
Distance
39.8 miles
Walking
10.0 mins
Waiting
12.5 mins
Train
60.0 mins
Other
17.0 mins
Total:
99.5 mins
Average when primarily using Walking
Distance
1.3 miles
Walking
20.8 mins
Waiting
1.3 mins
Bus / Trolley
2.5 mins
Bicycle
1.7 mins
Motorcycle
0.0 mins
Tram
0.8 mins
Total:
27.2 mins
Graz Traffic

"Key Takeaways"

Promoting cycling and public transport can help reduce CO2 emissions and improve traffic efficiency.

Investments in public transport infrastructure could further enhance commute times and reduce inefficiencies.

Key Indexes

Emissions

Graz's CO2 emissions index is 2155.13, indicating room for improvement in reducing emissions.

Efforts to increase cycling and public transport usage could further lower emissions.

Time

The average commute time index is 29.19, reflecting moderate traffic conditions.

Efficient public transport options help maintain reasonable commute times.

Inefficiency

The inefficiency index stands at 138.34, suggesting potential for optimizing traffic flow.

Reducing car dependency could improve overall traffic efficiency.