15.12.20
At Shotl, we’re often asked what the greatest challenges are in getting people to accept our model of flexible, demand-responsive transit. The answer may surprise you.
15.12.20
We are proud to have achieved the goal of publishing content each month that both informs about Shotl’s progress as well as summarises experiences and opinions.
Measure rider movements to get predictive models in a given area before an on-demand shuttle starts hitting the streets.
A cheap and safe way to validate user response while slowly deploying new demand responsive services in your city.
Start saving operational costs and increase passenger ridership through a fully dynamic transport service based on real time demand.
Get to see our platform in action
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