/ Reading: 2 min.

26. Jun 2023
/ Germany
What is … demand-responsive transport (DRT)?
Demand-responsive Transport (DRT) refers to a technology-based and shared mobility service. Instead of following predefined routes, timetables and fixed stops, on-demand services follow no timetable, also make virtual stops and operate on different routes. The vehicles operate on demand and when needed. Booking is usually done via app but can also be done via phone call and/or in the web browser. DRT combines the reliability of conventional public transport with the flexible availability of private cars.

DRT is usually combined with the concept of ridepooling. In this new form of mobility, an intelligent algorithm bundles similar travel requests into carpools. This way, several people can use one vehicle at the same time. Other, mostly non-technology-based forms of DRT are services such as the call-collecting taxi or the call-line taxi and call-line buses or volunteer-run community buses.

 

The use of on-demand mobility or DRT services ranges from covering the first and last mile between one’s own front door and the nearest railway station to supplementing regular bus services. This creates an attractive mobility option especially in rural areas, where previously no or insufficient local public transport services were available. Companies are also increasingly relying on flexible forms of mobility with demand-responsive employee transport services.

 

Another term for DRT is digital demand responsive transport (DDRT), pointing out the difference between technology-based and earlier forms of on-demand mobility.

 

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Perspectives from Milena Akemann

Perspectives from Milena Akemann

Milena works as a Technical Product Manager in the Mobility Analytics & Consulting team. She came to ioki through an internship after completing her maths degree. As a mathematician, she has a passion for anything related to optimisation and it was important to her to use her skills to shape the future. She then discovered the area of mobility through a seminar at university on mathematical transport planning.

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