Maastricht, a vibrant city in the Netherlands, showcases a diverse range of transportation modes, with cars and walking being the most popular. In 2024, the city continues to focus on sustainable commuting options, with a significant percentage of residents opting for bicycles and public transport.

Average Commute Times

The average commute involves a total time of 21.44 minutes, with significant time spent driving and walking.
  • Bus - Bus commuters spend around 15 minutes on the bus, with additional time for waiting and walking, totaling approximately 20 minutes.
  • Car - Car users experience an average driving time of 18.33 minutes, with minimal walking time.
  • Train - Train commuters have a longer journey, averaging 62 minutes on the train, plus waiting and walking time.
  • Walking - Walking is a popular choice, with an average commute time of 19.2 minutes, including some waiting and bus time.
Traffic Breakdown
Car
38%
Walking
31%
Bicycle
19%
Train
6%
Bus
6%
Seasonal Trends

Traffic tends to increase during the summer months due to tourism, affecting commute times. Winter sees a slight decrease in bicycle usage, with more reliance on public transport.

Commuter Pain Points

Limited parking availability in the city center can be a challenge for car commuters. Public transport delays during peak hours can lead to longer commute times.

Best Travel Times

Early mornings before 8 AM and late evenings after 7 PM are the best times to avoid traffic congestion. Midday travel is generally smoother, with fewer delays across all modes of transport.

Event Impacts

Public events such as festivals and sports matches can lead to temporary road closures and increased traffic. Advance planning and use of public transport are recommended during major events.

Sustainability Efforts

Maastricht is investing in expanding its bicycle lanes and improving public transport connectivity. The city promotes carpooling and electric vehicle usage to reduce its carbon footprint.

Ride-Sharing Impact

Ride-sharing services have eased some traffic congestion by reducing the number of private cars on the road. These services offer flexible commuting options, particularly for those without access to a car.

Worldwide
Netherlands

Traffic Rankings

The Traffic Index for Netherlands combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Netherlands, to provide insights into overall traffic conditions.

Worst to BestUpdated: Dec, 2024

Traffic Data

The following traffic data has been gathered from 16 user contributions.
Overall average travel
Distance
7.8 miles
Walking
7.4 mins
Waiting
0.8 mins
Driving Car
6.9 mins
Bus / Trolley
1.3 mins
Bicycle
1.3 mins
Motorcycle
0.0 mins
Train
3.9 mins
Total:
21.4 mins
Average when primarily using Bus
Distance
4.3 miles
Walking
3.0 mins
Waiting
2.0 mins
Bus / Trolley
15.0 mins
Total:
20.0 mins
Average when primarily using Car
Distance
8.5 miles
Walking
1.5 mins
Driving Car
18.3 mins
Total:
19.8 mins
Average when primarily using Train
Distance
57.2 miles
Walking
10.0 mins
Waiting
5.0 mins
Train
62.0 mins
Total:
77.0 mins
Average when primarily using Walking
Distance
1.6 miles
Walking
19.2 mins
Waiting
1.0 mins
Bus / Trolley
1.0 mins
Total:
21.2 mins
Maastricht Traffic

"Key Takeaways"

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

Investments in public transport infrastructure and services could significantly enhance commuting efficiency.

Key Indexes

Emissions

The CO2 emissions index for Maastricht is 1956.25, indicating a moderate level of emissions.

Efforts to reduce emissions focus on increasing bicycle and public transport usage.

Time

The average time index is 21.44, reflecting the typical commute duration in the city.

Traffic delays are generally manageable, with peak times slightly extending commute durations.

Inefficiency

The inefficiency index stands at 128.80, suggesting room for improvement in traffic flow and public transport efficiency.

Strategies to address inefficiencies include optimizing traffic signals and enhancing public transport schedules.