Commercial bus speed is a key challenge for large cities, directly impacting operator efficiency, resource optimization, and user satisfaction. European commercial speeds range from Paris's 11 km/h to Amsterdam's 20 km/h, influenced by urban density. Therefore, rigorous tools are essential to pinpoint critical segments and stops, determine penalizing factors, and implement improvement measures.
TMB's proposed methodology focuses on two key indicators: inter-stop speed (time between consecutive stops) and dwell time (time the vehicle remains stopped for passenger boarding and alighting). The model establishes reference values and identifies segments and stops with significant deviations for targeted improvements.
Results are grouped by analysis units with the greatest time-saving potential. Following a diagnosis and prioritization phase, these areas will be candidates for specific improvement measures, such as traffic light regulation, stop management, road configuration, or service operations.
The methodology also includes a post-implementation evaluation phase to quantify actual time savings. This enables a continuous monitoring and analysis process, aiming for a permanent network improvement model. The goal is to provide a transparent, repeatable, and data-driven tool for decision-making, maximizing investment effectiveness and advancing towards more competitive, reliable, and attractive public transport.
