This step-by-step guide explores how simulations can help in the cost-effective development and optimisation of on-demand transit services. It explores how data-driven simulations can remove guesswork by accurately designing transit systems before actually committing to any spend or changes in the route.
Best practice transit design using a step-by-step service simulation guide
How simulations can carefully guide data-driven decisions into designing new service areas as well as replacing existing fixed-route services
Why continuing to use simulations to explore adjustments after launching an on-demand service can further growth and increase operational efficiency
Real use-cases of how simulations have already guided successful service development
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Anyone wanting to introduce new transit services or improve their existing fixed route or on-demand service. Whether you’re part of a city or local authority that wants to explore how simulations could identify solutions for increasing ridership, or an operator or a workplace looking at ways to design feasible routes that best suit their passengers.
Here at Liftango, we know that changing a service will change people’s lives, so we use our simulator to carefully guide transit design decisions. We’ve compiled this white paper to help inform the industry on how simulations can be better utilised to equip service planners in maximising ridership and efficiency as well as minimising the overall impact of service changes.