Traffic Summary for Lomas de Zamora
In 2024, Lomas de Zamora's traffic landscape is dominated by car usage, with no significant use of public transport or alternative commuting methods. The average commute time for car users is approximately 22.5 minutes, reflecting a reliance on personal vehicles for daily travel.
Average Commute Times
- Car - Car users experience an average driving time of 22.5 minutes over a distance of 8 km.
Traffic Breakdown
Seasonal Trends
Traffic congestion tends to increase during the summer months as more residents travel for leisure. Winter months see a slight decrease in traffic as people prefer staying indoors.
Commuter Pain Points
Lack of public transportation options forces reliance on personal vehicles. Traffic bottlenecks during peak hours lead to increased commute times.
Best Travel Times
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid traffic. Midday travel between 11 AM and 1 PM is also relatively smooth.
Event Impacts
Public events and festivals can significantly disrupt traffic, especially in central areas. Planning alternative routes during events can help mitigate delays.
Sustainability Efforts
The city is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts to expand and improve public transport infrastructure are underway.
Ride-Sharing Impact
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, potentially easing congestion.
Traffic Rankings
The Traffic Index for Argentina combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in Argentina, to provide insights into overall traffic conditions.
Traffic Data
Overall average travel
Average when primarily using Car
"Key Takeaways"
Lomas de Zamora's traffic is heavily car-dependent, with no significant use of public transport.
Addressing high CO2 emissions and traffic inefficiencies should be a priority for city planners.
Key Indexes
EmissionsThe CO2 emission index is significantly high at 5985, indicating a heavy reliance on cars.
Efforts to reduce emissions could focus on promoting public transport and cycling.
TimeThe time index stands at 22.5, suggesting moderate traffic congestion during peak hours.
Improving road infrastructure could help reduce commute times.
InefficiencyThe inefficiency index is 107.98, highlighting potential delays and traffic bottlenecks.
Implementing smart traffic management systems could alleviate inefficiencies.