The Development of a Performance Indicator to Compare Regularity of Service between Urban Bus Operators

The Development of a Performance Indicator to Compare Regularity of Service between Urban Bus Operators

Mr. Mark Trompet from CTS, Imperial College London
Wednesday, 08 December 2010 – 16:00
Location: Room 610, Skempton (Civil Eng.) Bldg, Imperial College London

The work which is presented in this seminar evaluated options for a key performance
indicator that comparably illustrates differences in performance with regard to
maintaining service regularity on high frequency routes between urban bus operators.
The data used for this study was collected by the International Bus Benchmarking Group,
facilitated by Imperial College London, and relates to twelve medium to large sized
urban bus operators from different countries. Through two annual rounds of data
collection, lessons were learned on feasible data characteristics, required sample size
and data cleaning processes. The following four key performance indicator alternatives
were tested and their strengths and weaknesses described: ‘Excess Wait Time’,
‘Standard deviation of the difference between the scheduled and the actual headway’
and % of service within a fixed and relative number of minutes from the scheduled
headway, also referred to as respectively ‘Wait assessment’ and ‘Service regularity’. The
results suggest that while all four methodologies illustrate a different, interesting view on
service regularity performance, the Excess Wait Time methodology is the best option
when the key performance indicator should reflect the customer experience of the
regularity of service.

1. Introduction to the Railway and Transport Strategy Centre (RTSC)
2. Introduction to the Benchmarking Work within the RTSC and in
specific the International Bus Benchmarking Group (IBBG)
3. Service Regularity Indicators: Literature and Use by Operators
4. Sample size, Data Characteristics and Data Cleaning Methodologies
5. Testing:
– Excess Wait Time,
– Standard deviation of the differences between the scheduled and the
actual headway,
– Wait Assessment and
– Service Regularity.
6. Conclusions

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