Site Map
Contact Us
Step 1 icon
Quick Reference : Home : Case Studies : Glossary
Evaluate your bus system
Benchmarks and Indicators
evaluate your bus system
Perceived Problems
Benchmarks and Indicators
Reform Objectives
Negotiating a purchase price
interactive tool
choose a reform option
make the transition
site credits

Benchmarks and Indicatorsbus image
The performance and statistical measures listed below should be familiar to public transport planners. They form the basic building blocks for a management information system.

It’s not possible to draw firm conclusions from comparisons of these measures either over time within a city or at a point in time between different cities. However, these measures will help you identify and understand how your bus system may be out of line with other cities and how it compares to best practices elsewhere.

Comparing your system’s data with these benchmarks and indicators will also help you assess the extent of the problems with your bus system. Tools linked to each benchmark will help you collect data for your system.

Role and importance of buses
Total population in service area
Total daily trips (excluding walk trips)
Total daily trips by public transport
Percent mode share to public transport
Average daily ridership
Average bus boardings per bus trip
Average daily trips by bus
Percent mode share to bus

Network description
Percent of urban area within 500 m of bus stop

Fleet description
Fleet size: buses
No. of buses per 1000 people
Average bus capacity
Total fleet capacity
Percent seated capacity
Percent air conditioned (if appropriate)
Average vehicle age

Output performance measures
Average availability percentage
Average vehicle utilization rate (percentage of available buses actually used)
Percentage peak only buses
Average daily km per bus
Average total daily place-km (place = seated + standing capacity)
Percent lost km
Km per breakdown in service
Km per accident

Passenger loading and adequacy of capacity
Passengers per vehicle per day
Average peak hour occupancy ratio at maximum load point
Average distance travelled per boarding (km)
Daily passenger km
Average load factor (passenger-km/place-km)

Staff productivity indicators
Measuring affordability
Financial performance
Cost recovery ratio


© 2006 The World Bank Group and PPIAF. All Rights Reserved. Legal.
Site Version 1.0