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

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?

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

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

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

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

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

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

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

RUSTENBURG NETWORK ROUTE AND STOP COVERAGE

 

NETWORKROUTE AND STOP COVERAGE

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 948.14 111 Friday 13 128.6 12.43 R 1,288.35 150 Saturday 7 73.3 9.82 R 710.19 81

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 948.14 111 Friday 13 128.6 12.43 R 1,288.35 150 Saturday 7 73.3 9.82 R 710.19 81

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 946.76 112 Saturday 13 102.1 11.63 R 1,225.35 145

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 946.76 112 Saturday 13 102.1 11.63 R 1,225.35 145

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 930.36 110

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 930.36 110

OUTPUT – TRIP DISTRIBUTION

OUTPUT – DISTANCE DISTRIBUTION

OUTPUT – REVENUE DISTRIBUTION

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

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

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

www.getgometro.com justin@gometroapp.com