Dubrovnik, a picturesque city in Croatia, relies heavily on cars for transportation, with 87.5% of commuters using this mode. Despite the city's reliance on cars, walking remains a significant mode of transport, accounting for 12.5% of commutes.
Tourist seasons, particularly summer, see increased traffic congestion due to higher visitor numbers. Winter months tend to have less traffic, offering smoother commutes for residents.
High car dependency leads to congestion, especially during peak tourist seasons. Limited public transport options restrict commuting flexibility for residents.
Early mornings and late evenings are generally the best times to travel to avoid congestion. Midday travel is often smoother outside of peak tourist season.
Public events, especially festivals, can significantly impact traffic flow, requiring road closures and diversions. Advance planning and public transport use are recommended during major events.
Dubrovnik is exploring initiatives to promote electric vehicles and expand pedestrian zones. Efforts to increase green spaces and reduce car usage are part of the city's sustainability goals.
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 Croatia combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Croatia, to provide insights into overall traffic conditions.
Encouraging the use of bicycles and public transport could significantly reduce CO2 emissions.
Investing in infrastructure for pedestrians and cyclists can improve overall traffic efficiency.
Dubrovnik's CO2 emissions index is notably high at 4887.75, reflecting the heavy reliance on cars.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index for Dubrovnik is 22.13, indicating moderate commute times across the city.
Improving public transport options could help reduce travel times further.
InefficiencyThe inefficiency index stands at 77.00, suggesting room for improvement in traffic management.
Implementing smart traffic solutions could enhance flow and reduce inefficiencies.