In 2024, Djibouti's transportation landscape is dominated by cars and buses, with no significant use of walking, cycling, or public transit like trains and trams. The city faces challenges with high CO2 emissions and traffic inefficiency, indicating potential areas for improvement in urban mobility.
Traffic tends to increase during the cooler months as more people travel for leisure and work. The summer months see a slight reduction in traffic due to the extreme heat, which discourages travel.
Long waiting times for buses can be frustrating for commuters, especially during peak hours. Car commuters often face congestion, leading to extended travel times and increased fuel consumption.
Early mornings before 7 AM and late evenings after 8 PM are the best times to avoid heavy traffic. Midday travel between 11 AM and 1 PM is also relatively smooth, with less congestion.
Public events and national holidays can significantly disrupt traffic, leading to road closures and detours. Planning travel around major events is advisable to avoid unexpected delays.
The city is exploring initiatives to enhance public transportation and reduce vehicle emissions. Encouraging the use of electric vehicles and carpooling is part of the city's sustainability strategy.
Ride-sharing services are gradually gaining popularity, offering a flexible alternative to traditional commuting. These services help reduce the number of cars on the road, contributing to decreased traffic congestion.
Promoting alternative transportation methods could help reduce CO2 emissions and improve traffic efficiency.
Investing in public transportation infrastructure may alleviate the reliance on cars and reduce commute times.
The CO2 emissions index is notably high at 6163.33, reflecting significant environmental impact.
Efforts to reduce emissions could focus on promoting public transportation and carpooling.
TimeThe average commute time index is 42.67, indicating moderate delays in daily travel.
Improving road infrastructure and traffic management could help reduce travel times.
InefficiencyTraffic inefficiency is marked at 187.61, suggesting room for optimization in traffic flow.
Implementing smart traffic systems could alleviate congestion and improve efficiency.