Auckland, New Zealand, continues to rely heavily on cars as the primary mode of transportation, with over 56% of commuters choosing this option. Public transportation, including buses and trains, plays a significant role, but there is room for improvement in reducing commute times and emissions.

Average Commute Times

The average commute time in Auckland is approximately 37.37 minutes, with significant time spent driving.
  • Bus - Bus commuters spend about 30.39 minutes on the bus, with additional time walking and waiting.
  • Car - Car commuters experience a driving time of 38.53 minutes, making it the longest commute among the modes.
  • Train - Train commuters spend around 33.4 minutes on the train, with additional time for walking and waiting.
  • Walking - Walking commuters spend about 17.29 minutes on foot, with minimal time waiting.
Traffic Breakdown
Car
56%
Bus
17%
Walking
10%
Home
6%
Bicycle
4%
Train
3%
Motorcycle
3%
Seasonal Trends

Traffic congestion tends to increase during the summer months as tourism peaks. Winter months see a slight reduction in traffic, but weather conditions can lead to delays.

Commuter Pain Points

Commuters often face long delays during peak hours, especially on major highways. Limited parking availability in the city center adds to the frustration for car users.

Best Travel Times

Traveling before 7 AM or after 7 PM can help avoid the worst of the traffic congestion. Midday travel is generally smoother, with fewer delays compared to rush hours.

Event Impacts

Major events at Eden Park and other venues can significantly impact traffic, causing delays and requiring detours. Public transport is often enhanced during events, providing a viable alternative to driving.

Sustainability Efforts

Auckland is investing in electric buses and expanding cycling lanes to promote sustainable commuting. Initiatives to increase the use of renewable energy in public transport are underway.

Ride-Sharing Impact

Ride-sharing services have reduced the need for personal car ownership, easing parking demand. These services also offer flexible commuting options, particularly in areas with limited public transport.

Worldwide
New Zealand

Traffic Rankings

Auckland ranks 2nd on the Traffic rankings in New Zealand. The Traffic Index for New Zealand combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in New Zealand, to provide insights into overall traffic conditions.

Worst to BestUpdated: Dec, 2024

Traffic Data

The following traffic data has been gathered from 163 user contributions.
Overall average travel
Distance
10.9 miles
Walking
4.0 mins
Waiting
1.2 mins
Driving Car
23.4 mins
Bus / Trolley
5.7 mins
Bicycle
0.7 mins
Motorcycle
1.1 mins
Train
1.3 mins
Total:
37.4 mins
Average when primarily using Bus
Distance
7.1 miles
Walking
6.9 mins
Waiting
5.6 mins
Bus / Trolley
30.4 mins
Train
1.0 mins
Total:
43.9 mins
Average when primarily using Car
Distance
13.7 miles
Walking
0.7 mins
Driving Car
38.5 mins
Total:
39.2 mins
Average when primarily using Train
Distance
9.4 miles
Walking
7.8 mins
Waiting
4.4 mins
Bus / Trolley
1.4 mins
Train
33.4 mins
Total:
47.0 mins
Average when primarily using Walking
Distance
1.4 miles
Walking
17.3 mins
Waiting
0.5 mins
Driving Car
1.8 mins
Bus / Trolley
1.1 mins
Total:
20.6 mins
Auckland Traffic

"Key Takeaways"

Promoting alternative transportation methods could help reduce Auckland's high CO2 emissions.

Investing in public transport infrastructure may decrease commute times and improve overall traffic efficiency.

Key Indexes

Emissions

Auckland's CO2 emissions index is notably high at 6646.47, reflecting the heavy reliance on cars.

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

Time

The time index of 37.37 indicates moderate delays, particularly for car users.

Improving traffic flow and public transport efficiency could reduce these delays.

Inefficiency

The inefficiency index stands at 199.36, suggesting significant room for improvement in traffic management.

Addressing bottlenecks and optimizing traffic signals could enhance efficiency.