In 2024, Albufeira's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic patterns reflect a significant dependency on cars, leading to notable CO2 emissions and traffic inefficiencies.
During the summer tourist season, traffic congestion increases significantly due to the influx of visitors. Winter months see a decrease in traffic, providing smoother commutes for residents.
High dependency on cars leads to congestion during peak hours. Limited public transportation options restrict commuter flexibility.
Early mornings and late evenings are the best times to travel to avoid congestion. Midday travel is generally smoother outside of peak tourist seasons.
Public events and festivals in Albufeira can cause temporary spikes in traffic congestion. Planning travel around major events can help avoid delays.
Albufeira is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are underway to improve public transportation infrastructure to lower CO2 emissions.
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services help reduce the number of vehicles on the road, potentially easing congestion.
The Traffic Index for Portugal combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Portugal, to provide insights into overall traffic conditions.
Albufeira's transportation system is heavily reliant on cars, leading to high CO2 emissions.
Introducing alternative modes of transport could reduce traffic inefficiencies and environmental impact.
Albufeira has a high CO2 emission index of 2660, indicating significant environmental impact.
The reliance on cars contributes heavily to the city's carbon footprint.
TimeThe time index is 10, reflecting moderate traffic delays.
Commuters spend an average of 10 minutes driving, which is relatively efficient given the city's size.
InefficiencyThe inefficiency index is 22.86, suggesting room for improvement in traffic management.
Traffic inefficiencies are primarily due to the lack of alternative transportation modes.