How do we measure the efficiency of our network from a customer’s perspective?
Transit operators can look at the disparities between published, intended and actual route timetables in terms of lost customer minutes. By integrating such data into how they measure network efficiency, transit operators can make decisions based on a more holistic, customer-centric perspective.
How do we understand the impact of a disruption or incident on a customer’s journey?
Transit operators can simulate scenarios to better understand how a particular incident or disruption affects passengers. They can then use the simulation results to identify how to quickly get passengers moving again and combine the analysis with strategic and operational planning to establish mitigation plans before they need them.
When we plan changes to the timetable, what does it mean for a customer?
With analytics, transit operators can determine the impact of network changes—from increased route frequency and larger buses to service reductions and major maintenance work—on issues such as traffic congestion, customer journeys and overall route efficiency. More importantly, analytics let transit operators simulate the impact of small tweaks to those network changes to minimize disruption and improve customer experiences.
How can we better make choices between different investment options?
By simulating different transit investment options, such as a new train line, analytics can help determine the likely benefit in terms of customer journeys and productivity across the entire network. Integrating demographic and other data can help quantify the economic costs and benefits of each option under consideration so planners can make the best decision from a financial, operational and customer-centric perspective.
