Civitanova Marche in 2024 is heavily reliant on cars for transportation, with no significant use of public transport or alternative commuting methods. The city's traffic data indicates a high level of CO2 emissions, reflecting the environmental impact of car dependency.
Traffic tends to increase during the summer months as tourists visit the coastal areas. Winter months see a slight decrease in traffic as residents prefer staying indoors.
Lack of public transportation options forces reliance on cars, leading to higher costs and emissions. Traffic congestion can occur during peak tourist seasons, affecting commute times.
Early mornings and late evenings are the best times to travel to avoid potential congestion. Midday travel is generally smooth due to lower traffic volumes.
Public events and festivals can significantly increase traffic congestion, especially in the city center. Planning travel around major events can help avoid delays.
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts are being made to improve public transport infrastructure to offer viable alternatives to car travel.
Ride-sharing services are gradually gaining popularity, offering a flexible alternative to car ownership. These services help reduce the number of vehicles on the road, contributing to lower emissions.
The Traffic Index for Italy combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Italy, to provide insights into overall traffic conditions.
Encouraging the use of public transport or bicycles could reduce CO2 emissions and improve traffic efficiency.
Implementing carpooling initiatives might help decrease the inefficiency index and environmental impact.
Civitanova Marche has a CO2 emission index of 1330, indicating significant environmental impact.
The high emission levels are primarily due to the exclusive use of cars for commuting.
TimeThe time index is relatively low at 5, suggesting minimal delays in traffic.
Despite the low time index, the reliance on cars contributes to inefficiencies.
InefficiencyThe inefficiency index stands at 8.91, highlighting potential areas for improvement in traffic management.
Car dependency without alternative transport options increases inefficiency.