Smart moves: how Auckland can get more for its money from on-demand public transport
Public transport systems are facing a critical challenge: how to improve services without increasing infrastructure and cost.
- Public transport systems are facing a critical challenge: how to improve services without increasing infrastructure and cost.
- As urban populations grow and demand increases, innovative solutions are needed to ensure the most efficient use of resources.
- As cities have grown and evolved, public transport planning has relied on these traditional systems.
- Optimising these services will be key to ensuring their success and was the focus of our recent work with Auckland Transport.
Flexible transport
- On-demand transit systems are flexible transit systems that adjust routing to pick up and drop off passengers according to demand.
- Looking to increase patronage without compromising user experience (and without purchasing new vehicles), Auckland Transport asked on-demand transit technology provider Liftango to simulate various service adjustments and their impact on passenger experience.
- Read more:
1 million rides and counting: on-demand services bring public transport to the suburbs
Simulation and reality
- Two parameters were studied: passenger boarding and alighting time, and fleet configuration.
- After calibrating the simulator against reality (achieving 98.3% accuracy rate), we focused on finding potential, rapidly deployable solutions.
- This included reducing standard passenger boarding and alighting times within the network routing algorithms, and adding an additional three-seater vehicle to the fleet.
- Read more:
How on-demand buses can transform travel and daily life for people with disabilities
Optimisation and service
- The optimisation work has helped Auckland Transport serve more passengers without increasing fleet size or journey times, according to senior transport planner James Hills.
- “This has added resilience to the service and enabled us to make the most of what we have.” The case of AT Local highlights the value of using simulations to optimise on-demand services.
- By using data from active services and adjusting service parameters in a simulation, service providers can make evidence-based decisions about service design.
Efficiency and accessibility
Optimising on-demand transit routing algorithms can have several benefits for public transport systems.
Using simulations to guide evidence-based decisions allows for smart utilisation of existing assets. In turn, this leads to improved user experiences and increased patronage while maintaining a high quality of service for diverse passenger needs. The author thanks Iain MacDougall and James Willcox from Liftango Labs for their assistance in this research, and Auckland Transport for making this research possible.