In Donegal, Ireland, the primary mode of transportation is overwhelmingly the car, with 100% of commuters relying on it. This reliance on cars contributes to significant CO2 emissions and highlights the need for alternative transportation options.
Traffic in Donegal tends to increase during the summer months due to tourism. Winter months see a slight decrease in traffic as weather conditions discourage travel.
Limited public transportation options force reliance on cars. Traffic congestion can occur during peak tourist seasons.
Early mornings and late evenings are the best times to avoid traffic in Donegal. Midday travel is generally smoother outside of peak tourist seasons.
Public events and festivals can significantly impact traffic, leading to increased congestion. Planning routes in advance during such events can help mitigate delays.
Donegal is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are underway to improve public transport infrastructure to lower CO2 emissions.
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services can help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for Ireland combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Ireland, to provide insights into overall traffic conditions.
Donegal's traffic is heavily reliant on cars, leading to high CO2 emissions.
There is potential to improve traffic efficiency by diversifying transportation options.
Donegal has a high CO2 emission index of 3192, primarily due to car usage.
Efforts to reduce emissions could focus on promoting public transport and cycling.
TimeThe time index for Donegal is 12, indicating moderate traffic delays.
Commute times are relatively short, but improvements could be made to reduce car dependency.
InefficiencyThe inefficiency index stands at 30.02, suggesting room for improvement in traffic management.
Introducing alternative transport modes could enhance efficiency.