In 2024, Coffs Harbour's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode. The average commute time for drivers is approximately 18.75 minutes, reflecting the city's reliance on personal vehicles.
Traffic tends to increase during the summer months as tourists visit Coffs Harbour's beaches. Winter months see a slight decrease in traffic, providing smoother commutes for residents.
Limited public transportation options force reliance on personal vehicles. Traffic congestion during peak tourist seasons can lead to longer commute times.
Early mornings and late evenings are the best times to travel to avoid peak traffic. Weekdays between 10 AM and 3 PM generally have lighter traffic conditions.
Public events such as festivals and sports matches can significantly impact traffic, causing delays. Planning routes around event schedules can help mitigate traffic disruptions.
Coffs Harbour is exploring initiatives to introduce more sustainable transport options. Efforts include promoting cycling and walking paths to reduce car dependency.
Ride-sharing services are slowly gaining popularity, offering an alternative to car ownership. These services could help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for Australia combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Australia, to provide insights into overall traffic conditions.
Coffs Harbour's reliance on cars presents opportunities to diversify transportation options.
Implementing public transport solutions could reduce CO2 emissions and improve traffic efficiency.
Coffs Harbour has a high CO2 emission index of 4987.5, primarily due to the exclusive use of cars.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index stands at 18.75, indicating moderate commute times for car users.
There is potential to improve commute efficiency by optimizing traffic flow.
InefficiencyThe inefficiency index is relatively high at 95.11, suggesting room for improvement in traffic management.
Addressing traffic bottlenecks could significantly enhance commuting efficiency.