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Accessible Cities

Accessible cities start with insight into movement

Cities are getting busier, the living environment demands cleaner air and more space for people, and at the same time everyone needs to reach their destination. Cyclists, pedestrians, public transport users, shared mobility and cars share the same street. Digitwin brings data from all those modes together in one digital model of your city. That way you ground mobility policy in what actually happens, not what you assume.

Mobility is multimodal. Your policy should be too.

Information about mobility exists, but is scattered across separate systems: counters, cameras, GTFS feeds, parking data, traffic models and shared mobility APIs. That makes it hard to see how modes interact with each other, and even harder to assess beforehand what a redesign, a new cycling street or an public transit corridor means for the whole city.

  • Do you know how active mobility compares to car traffic in your busiest corridors?
  • Can you test scenarios in advance for impact on ALL target groups?
  • Do policymakers, traffic engineers and neighborhood teams work from the same, current data?

With Argaleo’s Digitwin, municipalities, provinces and mobility regions bring together cycling, pedestrians, public transit, cars and shared mobility in one environment. From count data and origin-destination analyses to network performance and rush hour behavior. That way you support policy choices, compare scenarios and justify investments, whether it’s a cycling route, a 30km/h zone, a modal shift task or a broader mobility vision.

Curious? Request an online demo.

Digitwin dashboard voor bereikbare steden met multimodale mobiliteits- en bereikbaarheidsanalyses

These organizations led the way

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From insight to mobility policy that works

Curious how Digitwin brings mobility data together for your municipality or region? In a short online demo we show concrete examples and explore where the biggest opportunity is for you.