In 2024, Aylesbury's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode of transport. The city's traffic data reveals significant CO2 emissions and inefficiencies, highlighting areas for potential improvement.
Traffic congestion tends to increase during the holiday season as more residents travel by car. Summer months may see a slight decrease in traffic as families go on vacation.
Limited public transport options force reliance on cars, leading to congestion. High CO2 emissions are a concern for environmentally conscious residents.
Early mornings before 7 AM and late evenings after 7 PM are ideal for avoiding peak traffic. Midday travel can also be less congested compared to rush hours.
Local events and festivals can significantly impact traffic, causing delays and increased congestion. Planning travel around these events can help avoid disruptions.
Aylesbury is exploring initiatives to promote cycling and walking to reduce car dependency. Efforts to enhance public transport infrastructure are underway to offer more sustainable commuting options.
Ride-sharing services are gradually gaining popularity, offering an alternative to car ownership. These services could help reduce the number of vehicles on the road, easing congestion.
The Traffic Index for United Kingdom combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in United Kingdom, to provide insights into overall traffic conditions.
Aylesbury's reliance on cars contributes to high CO2 emissions and traffic inefficiencies.
Introducing alternative transport options could improve commute times and reduce environmental impact.
Aylesbury has a high CO2 emission index of 9310, indicating significant environmental impact.
Efforts to reduce car dependency could help lower emissions.
TimeThe time index of 37.5 suggests moderate commute durations, primarily due to car travel.
Improving public transport options could reduce travel times.
InefficiencyThe inefficiency index of 127.79 highlights potential delays and traffic congestion.
Strategies to optimize traffic flow could enhance efficiency.