In 2024, Caen's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic inefficiency and CO2 emissions are significant, prompting a need for sustainable transportation solutions.
Traffic tends to increase during the summer months as tourists visit Caen, leading to longer commute times. Winter months see a slight decrease in traffic as adverse weather conditions discourage travel.
Heavy reliance on cars leads to congestion, especially during peak hours. Limited public transport options restrict commuting flexibility for residents.
Early mornings before 7 AM and late evenings after 7 PM are the best times to avoid traffic congestion. Midday travel between 11 AM and 2 PM is also relatively smooth.
Public events, such as festivals and sports matches, can significantly impact traffic, causing delays and increased congestion. Planning travel around these events can help avoid potential disruptions.
Caen is exploring initiatives to expand public transport and promote cycling to reduce car dependency. The city is investing in electric vehicle infrastructure to support sustainable commuting.
Ride-sharing services are gaining popularity, offering a flexible alternative to car ownership. These services help reduce the number of vehicles on the road, contributing to lower emissions and congestion.
The Traffic Index for France combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in France, to provide insights into overall traffic conditions.
Encouraging alternative modes of transport could alleviate traffic congestion and reduce CO2 emissions.
Implementing carpooling and public transport incentives may improve traffic efficiency.
Caen has a high CO2 emission index of 2926, reflecting the heavy reliance on cars.
Efforts to reduce emissions are crucial as the city faces environmental challenges.
TimeThe time index is 11.5, indicating moderate traffic delays during peak hours.
Commuters experience minimal waiting times, but driving times can be improved.
InefficiencyThe inefficiency index stands at 26.53, suggesting room for improvement in traffic management.
Optimizing traffic flow could significantly reduce commute times and emissions.