Newcastle upon Tyne, a vibrant city in the United Kingdom, showcases a diverse range of transportation modes with cars being the most popular choice. The city's traffic data for 2024 highlights significant usage of walking and public transport, reflecting a balanced approach to commuting.

Average Commute Times

The average commute involves 1.67 minutes waiting, 15.93 minutes driving, and covers a distance of 11.32 km.
  • Bus - Bus commuters spend 10 minutes waiting and 30 minutes on the bus, with a total journey distance of 16.90 km.
  • Car - Car users experience a driving time of 31.53 minutes and a short walking time of 0.93 minutes, covering 14.39 km.
  • Train - Train journeys include 5 minutes waiting and 17.5 minutes on the train, with a total distance of 15 km.
  • Walking - Walking commutes take approximately 24.78 minutes, with a total distance of 3.64 km.
Traffic Breakdown
Car
45%
Walking
27%
Home
9%
Train
6%
Bus
6%
Bicycle
6%
Seasonal Trends

Traffic tends to increase during the winter months due to adverse weather conditions affecting travel times. Summer sees a slight decrease in traffic as more people opt for walking and cycling.

Commuter Pain Points

Congestion during peak hours remains a significant issue for car commuters. Limited parking availability in the city center adds to commuter stress.

Best Travel Times

Early mornings before 7 AM and late evenings after 7 PM are ideal for avoiding peak traffic. Midday travel between 11 AM and 2 PM generally experiences less congestion.

Event Impacts

Major events at St James' Park significantly increase traffic congestion in the surrounding areas. Festivals and public holidays lead to temporary road closures, affecting normal traffic flow.

Sustainability Efforts

Newcastle is investing in electric vehicle charging stations to promote sustainable transportation. The city is expanding its cycling infrastructure to encourage eco-friendly commuting.

Ride-Sharing Impact

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

Worldwide
United Kingdom

Traffic Rankings

Newcastle upon Tyne ranks 6th on the Traffic rankings in United Kingdom. The Traffic Index for United Kingdom combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in United Kingdom, 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 33 user contributions.
Overall average travel
Distance
7.0 miles
Walking
9.2 mins
Waiting
1.7 mins
Driving Car
15.9 mins
Bus / Trolley
3.1 mins
Bicycle
2.3 mins
Motorcycle
0.0 mins
Train
2.4 mins
Other
0.3 mins
Total:
35.0 mins
Average when primarily using Bus
Distance
10.5 miles
Walking
15.0 mins
Waiting
10.0 mins
Bus / Trolley
30.0 mins
Train
5.0 mins
Total:
60.0 mins
Average when primarily using Car
Distance
8.9 miles
Walking
0.9 mins
Driving Car
31.5 mins
Total:
32.5 mins
Average when primarily using Train
Distance
9.3 miles
Walking
5.0 mins
Waiting
5.0 mins
Train
17.5 mins
Other
5.0 mins
Total:
32.5 mins
Average when primarily using Walking
Distance
2.3 miles
Walking
24.8 mins
Waiting
2.2 mins
Driving Car
0.6 mins
Bus / Trolley
3.7 mins
Train
2.9 mins
Total:
34.1 mins
Newcastle upon Tyne Traffic

"Key Takeaways"

Promoting alternative transportation methods like cycling and public transport can help reduce car dependency.

Enhancing public transport infrastructure could improve commute times and reduce emissions.

Key Indexes

Emissions

Newcastle's CO2 emissions index stands at 4416.27, indicating a moderate level of emissions.

Efforts to reduce emissions could focus on promoting public transport and cycling.

Time

The average time index is 34.97, reflecting typical commute durations in the city.

Improving traffic flow could help reduce overall commute times.

Inefficiency

The inefficiency index is 151.97, suggesting room for improvement in traffic management.

Addressing bottlenecks and optimizing traffic signals could enhance efficiency.