In 2024, Santarem, Portugal, sees a balanced split between car and bus usage for commuting, with each mode accounting for 50% of the transportation share. The city's traffic data highlights significant CO2 emissions and inefficiencies, indicating areas for potential improvement.
Traffic tends to increase during the summer months as tourists visit Santarem. Winter sees a slight decrease in traffic as weather conditions discourage travel.
Long waiting times for buses can be frustrating for commuters. Traffic congestion during peak hours leads to delays for car users.
Early mornings before 7 AM are ideal for avoiding traffic congestion. Late evenings after 8 PM also see reduced traffic levels.
Public events in Santarem, such as festivals, can significantly increase traffic congestion. Road closures during events often lead to detours and longer travel times.
Santarem is exploring the expansion of its public transport network to reduce reliance on cars. The city is also considering incentives for electric vehicle adoption to lower emissions.
Ride-sharing services are gaining popularity, offering flexible commuting options. These services help reduce the number of cars 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.
Santarem's reliance on cars and buses equally presents an opportunity to diversify transportation options.
Reducing CO2 emissions should be a priority, potentially through increased public transport efficiency or alternative energy vehicles.
Santarem's CO2 emissions index is notably high at 2130 units.
This level of emissions suggests a need for more sustainable transportation solutions.
TimeThe average time index for commuting is 37.5 minutes.
Commuters experience significant time spent in transit, indicating potential delays.
InefficiencyThe inefficiency index stands at 117.23, reflecting challenges in traffic flow.
This inefficiency suggests opportunities for optimizing traffic management.