Transport for LondonOperator league tables
The following tables show the past and current performance of operators compared to one another.
High frequency - Excess waiting (PDF 36KB)
Shows the time passengers have to wait in excess of the average scheduled waiting time between buses, based on the variance from the minimum standards.
High frequency - Long gaps (PDF 35KB)
Shows the chance of waiting twice the scheduled interval between buses, based on the variance from minimum standards.
Low frequency - On time (PDF 35KB)
Shows the chance of a bus arriving on time, based on the variance from minimum standards.
Low frequency - Early (PDF 35KB)
Shows the chance of a bus running early, based on the variance from minimum standards.
Night buses - On time (PDF 28KB)
Shows the chance of a night bus arriving on time, based on their actual performance.
Mileage operated before losses due to traffic (PDF 34KB)
Shows the amount of mileage operated against a schedule, before taking into account mileage lost due to traffic.
Actual mileage operated (PDF 34KB)
Shows the amount of mileage operated against a schedule, taking into account all losses.
Mileage lost due to traffic (PDF 34KB)
Shows the amount of mileage lost due to traffic.
Common questions
Why do we produce the reports?
The reports show how operators have been performing against a number of reliability and mileage measures, most in relation to the variance from set standards. They also show current and previous performance and position of all operators, and a network average for further comparisons.
Who do the reports go to?
We distribute the reports internally as well as to operators.
How do the reports benefit operatrors?
The reports provide a summary of their performance, by current and previous positions against all other operators. They also provide variances from standards and network averages.
Where does the data come from?
We get mileage data from a system which holds scheduled and operated mileage by day and route. We also use a data query system to process four-weekly totals. Reliability data for a rolling 12-week period comes from Quality Service Indicators (QSI) monitoring systems.
