In 2024, Trieste sees a diverse range of commuting methods with walking being the most popular choice among residents. The city's traffic data reveals insights into average commute times and highlights areas for potential improvement in public transportation.
Traffic tends to increase during the summer months as tourists visit the city. Winter sees a slight decrease in walking due to colder weather, with more reliance on buses.
Limited tram and train options restrict public transport choices. Traffic congestion during peak hours leads to longer car commute times.
Early mornings before 8 AM and late evenings after 7 PM are ideal for avoiding traffic congestion. Midday travel is recommended for those using public transport to avoid peak hour crowds.
Public events, especially in the city center, can cause significant traffic delays. Planning alternate routes during major events can help mitigate congestion.
Trieste is investing in expanding its bicycle lanes to encourage eco-friendly commuting. The city is also exploring electric bus options to reduce public transport emissions.
Ride-sharing services have helped reduce the number of private cars on the road. These services provide flexible commuting options, especially during off-peak hours.
Trieste ranks 9th on the Traffic rankings in Italy. 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.
Walking is the most prevalent mode of transport, highlighting the city's pedestrian-friendly infrastructure.
Reducing reliance on cars could significantly lower CO2 emissions and improve air quality.
Trieste's CO2 emissions index stands at 2184.48, indicating a moderate level of emissions.
Efforts to reduce car usage could help lower this index.
TimeThe average time index is 29.1, reflecting typical commute durations in the city.
Improving public transport efficiency could reduce this time.
InefficiencyThe inefficiency index is 147.28, suggesting room for improvement in traffic flow.
Enhancing traffic management systems could address this inefficiency.