Demand Responsive Transport - an option for Patient and Community Transport

Overloaded Office Staff Staff Dependence Risks Inadequate Reporting Inefficient use of vehicles and drivers Inadequate service design Poor communication with drivers Why a new system?

Core specifications Multiple users and multiple providers One booking point – booking options Shared use – exclusive use Dynamic scheduling – automated route planning Automated allocation of resources Digital mapping 2-way communication with drivers Flexible reporting including MDS Cross-billing TPM TPM TPM TPM TPM TPM TPM TPM TPM

Seat utilisation

Introducing Responsive Transport

Simplified Scheduling Fast automated process Robust – no mistakes Structured Minimised risk

Scheduling Automated route design Multiple operators Automated scheduling of passenger pick-ups and drop-offs

Improved resource efficiency Fewer vehicles and drivers Better fleet mix Reduced operating times Optimised route building Better use of capacity

Improved Service Design Choice of service types Radial and Area Shuttles On-Demand Line Point-to-Point Test with simulation function

Point-to-point, anywhere to anywhere, multiple vehicles Area shuttle, anywhere to anywhere, one vehicle Radial shuttle, serves one destination, single or multiple vehicles On-demand Line, fixed route, only operates if there are bookings Choice of Service Types

Matching Time Service Patients/Passengers Vehicles Drivers Location

Electronic Run-Sheets Run details Passenger details “On-the-fly” bookings Instant verification of pick-up or drop off Incident button

Accountability Funding body or sponsor reporting. Fully automated accurate service reports Report by depot, office or agency. Billing and cross-billing for joint and contracted services

Service Simulations Enter service and booking information … … and test your services before you put them on the road.

Simulation module Simulate a day’s work to test the system. A real example…

Preparation Geocoding of stops Data cleaning Vehicles and seat configurations Passenger details Common trips etc. Driver details Booking data Set up Service/Driver/Vehicle allocations

Process Run as in real life to check system Reduce vehicles until bookings in-alarm Modify optimisation parameters Re-run simulation Analyse

Data entered Agency 1 Addresses (stops) = 125 Passengers = 99 Bookings = 190 Vehicles = 20

Vehicle Utilisation Comparison Vehicles used on target day Vehicles used in simulation

Savings per year – AU$ Trips 100,000 Scheduling staff$50,000 Driving staff$54,000 Volunteer costs$40,274 Vehicle costs$46,681 Total saving$190,955 Cost of access to System $100,000 Net Saving$90,955 Savings translate into additional trips

Savings per year

Data entered Agency 2 Passengers = 123 Bookings = 220 Vehicles = 22

Vehicle Utilisation Comparison Vehicles used on target day Vehicles used in simulation

Driver # Passengers’ home location Agency 1 Agency 2 Agency Integration of passengers on trips Better use of drivers – carry passengers from different agencies depending on what is most efficient

Savings per year Scheduling staff$50,000 Driving staff$259,300 Taxi costs$18,250 Vehicle costs$46,900 Total saving$374,450 Cost of access to System $55,000 Net Saving$319,450 Savings translate into additional trips

Agency 3 Smaller agency 52 bookings on target day Net saving - $63,500 p/a Previous cost per trip - $18 Simulation cost per trip - $13 Possible additional trips 5,800 p/a Percentage increase in trips – 45%

Simplifies scheduling Increases efficiency Reduces costs Accurately reports MDS Facilitates joint and contracted services Contact David Denmark: Summary Reduces stress and risk