Anadue understands that shared micromobility can support urban regeneration. It provides affordable point to point transportation not fixed to a timetable or route. When used as a first mile/last mile solution to connect to public transport hubs, it can reduce journey time and increase reliability. When used for the whole journey, it provides maximum flexibility.
Vehicle lock/unlock events compared to household income in Central London.
Every ride needs a rider
Analytics are vital for the safety and sustainability of all shared mobility schemes, but it should never be forgotten that every trip is a real person taking a journey they decided to take. Whether it’s their commute to work, visiting a friend or relative, or just the desire to feel the wind in their hair, every journey has a purpose. Analytics isn’t only about the fleet.
Anadue puts trip data into context. This provides insights into how shared micromobility is contributing to the vitality of the city, boosting the economy, providing opportunities for people that might otherwise be isolated.
Traditional public transport is usually planned around a hub and spoke design, helping people move from the suburbs to the city centre and back. This design has worked fairly well for over 100 years, but it means that people without access to private transport find it difficult to travel across town, often needing to catch multiple buses or bus/train combinations. This adds considerable delay, costs and makes the journey less reliable. Poor transport links can lead to poor employment opportunities, and the decline of whole town districts. In addition, without private transport, people may struggle to reach places not traditionally in the town centre, like hospitals, universities, shopping malls, etc.
Origin/Destination compared to existing cycle path routes in Dublin.
Flexmap from Anadue provides a flexible tool to view multiple layers of data relating to socioeconomic factors, demographic data, land use, transportation infrastructure and much more. In addition, you can add the output of LiberateMM and CitySmarts reports to Flexmap to really understand how shared micromobility is contributing to the wellbeing of residents and businesses.
Typical insights available via Flexmap:
Where do the people most likely to use micromobility live? (e.g. population aged 20 to 40 years old)?
Compare household income with local spend on shared micromobility
Understand if areas poorly served by traditional public transport have access to shared micromobility
Where are the most journeys to retail areas/business areas originate, and how does this compare to existing public transport routes?
Based on demographics and socioeconomic factors, which areas are most likely to be viable for new/expanded shared micromobility schemes?
Where should micromobility parking bays be located so that vehicles can report accurate GPS location? (requires clear line of sight path to multiple satellites, so not close to multiple high buildings)
Shared micromobility activity near three train stations in Hackney, London.