1. Determining business value of minibus taxis
Rustenburg, North- West South Africa

2. The Role of Minibus Taxis in a New IPTN
Driver Behaviour
Network Coverage
Maximizing utilization and unit earnings to produce better results
Line-Haul Routes
Feeder Services
Are the feeder service routes optimized and running efficiently? Is there a case for changes to the feeder services?
Are there services in the area that could be serviced as a dedicated direct shuttle?
Are there areas in the catchment that are poorly served by for-profit services, and a case could be made for a network-level subsidy?

3. How Technology can Help
Pilots
Trials
Proof-of-concepts
Tests
Validation
Incremental
Agile
5. Finance & leverage
4. Core Service Improvements
3. New Business and Services
2. Smart Payments – Mobile & Card
Benchmark Data collected by means of On-board Surveys & Rank Counts & growing pool of tracking, transaction and event data from operations
1. Tracking & fleet management

4. PROJECT PURPOSE Determine how MBT’s operate and generate revenue
Mobile application mapping tool to collect data
Use mapping results of statistically-relevant sample
Business model of taxi operation
Business valuation of MBT operations:
Replaced by IPTN; or
Basis for hybrid transport operations system plan

5. STUDY AREA Pop: 549 600 (Census 2011) 8 Main Taxi Associations
2 Bus Companies
19 Transport Associations
1 Metered Taxi firm

6. DATA COLLECTION + MANAGEMENT
Accessed and managed on GoMetro Pro platrform
Stored on trip-by-trip basis
csv, kml and shape files downloads
TripID
Number of Stops
Revenue
Company
Route Description
O-D Pairs
Vehicle Registration
Start Time
Date Mapped
Fares
Passengers
Travel Time
Number
Distance

7. A Transit Mapping & Analytics Software and Service
GoMetro Pro
A Transit Mapping & Analytics Software and Service

8. GoMetro Pro The Mapping App allows any field agent to quickly
and easily collect data…

9. CONDUCTING ONBOARD SURVEYS
Preliminary Planning
Process of Selecting a Survey Method
Designing the Sample
Designing the Survey Instrument
Conducting a Pilot Survey
Administration of the Survey
Data Management Process
Presentation of the Survey Results

10. RUSTENBURG NETWORK ROUTE AND STOP COVERAGE

16. NETWORKROUTE AND STOP COVERAGE

17. Association A | Trips | Distance
Day of The Week
Average Number of Trips per Vehicle
Average Daily Distance travelled per Vehicle (km)
Average Daily Dead km
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 11
103.0
12.79 R
111
Friday 13
128.6
12.43
R 1,288.35
150
Saturday 7
73.3
9.82 R 81

18. Association A | Revenue | Pax
Day of The Week
Average Number of Trips per Vehicle
Average Daily Distance travelled per Vehicle (km)
Average Daily Dead km
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 11
103.0
12.79 R
111
Friday 13
128.6
12.43
R 1,288.35
150
Saturday 7
73.3
9.82 R 81

19. Association B | Trips | Distance
Day of The Week
Average Number of Daily Trips per Vehicle
Average Daily Distance travelled per Vehicle
Average daily dead kilometers
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 14
89.0
8.63
R 1,146.05
136
Friday 11
85.9
8.82 R
112
Saturday 13
102.1
11.63
R 1,225.35
145

20. Association B| Revenue | Pax
Day of The Week
Average Number of Daily Trips per Vehicle
Average Daily Distance travelled per Vehicle
Average daily dead kilometers
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 14
89.0
8.63
R 1,146.05
136
Friday 11
85.9
8.82 R
112
Saturday 13
102.1
11.63
R 1,225.35
145

21. Association C | Trips | Distance
Day of The Week
Average Number of Daily Trips per Vehicle
Average Daily Distance travelled per Vehicle
Average Daily Dead km per vehicle
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 11
98.7
11.44
R 1,043.15
124
Friday 12
109.1
11.33
R 1,175.36
138
Saturday 9
87.0
10.68 R
110

22. Association C | Revenue | Pax
Day of The Week
Average Number of Daily Trips per Vehicle
Average Daily Distance travelled per Vehicle
Average Daily Dead km per vehicle
Average Daily Revenue collected per Vehicle
Average Number of Daily Pax per Vehicle
Mid-Week 11
98.7
11.44
R 1,043.15
124
Friday 12
109.1
11.33
R 1,175.36
138
Saturday 9
87.0
10.68 R
110

23. OUTPUT – TRIP DISTRIBUTION

24. OUTPUT – DISTANCE DISTRIBUTION

25. OUTPUT – REVENUE DISTRIBUTION

26. SURVEY ADMINISTRATION
Stakeholder Engagement
Vehicle Sampling
Survey Dates
Survey Management and Co-ordination
Enumerator Recruitment and Training
Site Collection Days
Data Quality Assurance
Analysis Methods

27. PROJECT TIME AND COST SAVINGS
Association Knowledge incorporated into design
Communication between survey team, City and taxi associations
Results Uploaded Daily
Survey Calendar an effective survey administration tool
Queue Marshals are key for planning
Final Selection Process of enumerators improves the skills quality of the survey team
Immediate data results for stakeholders
Quality and statistically relevant data
Minimal resources
Transparent industry operations

28. How Technology can Help
Pilots
Trials
Proof-of-concepts
Tests
Validation
Incremental
Agile
5. Finance & leverage
4. Core Service Improvements
3. New Business and Services
2. Smart Payments – Mobile & Card
Benchmark Data collected by means of On-board Surveys & Rank Counts & growing pool of tracking, transaction and event data from operations
1. Tracking & fleet management