In 2024, Wakefield's transportation landscape is dominated by car usage, with 100% of commuters relying on this mode. The city's traffic patterns reflect significant car dependency, leading to notable CO2 emissions and inefficiencies.
Traffic tends to increase during the winter months due to adverse weather conditions affecting driving. Summer months see a slight decrease in traffic as residents may opt for vacations or remote work.
High dependency on cars leads to congestion during peak hours. Limited public transportation options restrict commuter flexibility.
Traveling outside of peak hours, such as early morning or late evening, can reduce commute times. Weekends generally offer less traffic congestion compared to weekdays.
Public events in Wakefield can cause temporary spikes in traffic, particularly around event venues. Advance planning and alternative routes are recommended during major events.
Wakefield is exploring initiatives to promote electric vehicles and reduce emissions. Efforts to expand public transportation options are underway to decrease car dependency.
Ride-sharing services are gradually influencing traffic patterns by offering alternatives to car ownership. These services can help reduce the number of vehicles on the road, potentially 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.
Reducing car dependency could significantly lower CO2 emissions and improve traffic efficiency.
Investing in alternative transportation infrastructure, such as cycling paths and public transit, may enhance commuter experiences.
Wakefield's CO2 emission index is notably high at 3990, indicating significant environmental impact.
The reliance on cars contributes heavily to the city's carbon footprint.
TimeThe time index is moderate at 25, suggesting manageable traffic delays.
Commuters experience relatively short driving times, but inefficiencies persist.
InefficiencyThe inefficiency index stands at 56.37, highlighting room for improvement in traffic management.
Car dependency leads to potential inefficiencies in urban mobility.