Coding the Curbs
Using a digital dashboard to pave the way towards the smart city of tomorrow
What we do
By setting up a living lab (test environment) with existing apps and open source data, we digitize a street or neighbourhood and learn which information is available, which is not yet available and which is important to ‘code’ the ‘curb’.
By making an exploration of the environment, we map out for which street or neighbourhood the coding of the curb has value. Think of streets with a potential double function, where there is shopping during the day and restaurants in the evening. Or the situation around primary schools and sports clubs, where there are clear peak moments in the transport movements and then nothing for the rest of the day. By mapping out the various functions and users, we get a basis to work with.
We then carry out the coding of the sidewalk, by means of a digitisation system. After digitally reading in the environment with our route scan, we enrich the chosen location with additional data and open it up via an API. Via this API, we share the information with users, such as visitors and citizens, but also, for example, logistics services. By continuously monitoring, we discover user patterns and can make adjustments where necessary.
Why we do it
Reduce, reuse, recycle… Rethink! Our existing thinking and working frameworks have to change. Our well-known circular principles of ‘reduce, re-use, recycle’ need to be adjusted. Rethink! Let’s rethink the design principles of our cities. Coding the Curbs™ offers a concrete solution.
Coding the Curbs™ focuses on the digitisation of the built environment and the multi-functional design of that environment. This enables smart vehicles to find their way around the city more efficiently, creating space for pedestrians and cyclists and multiple use of expensive square meters.
Our solution helps cities actively manage their sidewalks and streets in direct interaction with pedestrians and drivers of vehicles and the surrounding area. These are promising applications:
- Efficient planning of transport and logistics: e.g. information and adjustments in the area of loading and unloading during peak and off-peak hours.
- Active parking management: analysis and adjustment of the ratio of available parking spaces, number of paid parkers and licensees.
- Real-time communication with drivers and (smart) vehicles: digital interaction with drivers and (smart and autonomous) front vehicles for efficient flow.
- Flexible spatial planning: actively opening up areas to pedestrians and even recreation or catering.