What Makes Our Data Different

Cycling is one of the most sustainable modes of transport, bringing many benefits to our cities and to those who ride.  But to truly transform our cities to enable more people to ride, cycling needs to be safer, more convenient and more enjoyable for everyone. 

At See.Sense, we’re working with a number of cities around the world to use the actionable data insights gathered from our devices and our data dashboards.  Planners are using these insights to inform evidence-based decisions to improve safety, the overall network design, and to effectively maintain the cycle path assets.  

What makes our cycling data unique:

Wide range of data - the patented sensor technology inside our products monitors the rider’s environment up to 800 times per second, giving granular insight and a depth of data that is not possible from use of an app alone.  This includes road surface condition, swerving and braking, collisions, as well as speed, and dwell time.  These factors are important for infrastructure planning when aiming to develop a cycling network which is both comfortable and safe for cyclists. Through the data we are able to identify hazardous cycling conditions, provide a cost-effective map of road surface quality to detect worsening areas and more. You can find out the how the data is used here.

Target groups - we can work with cities and partners to deploy our technology to specific groups, ensuring representation from cyclists not captured in other crowdsourced data initiatives, providing value and focus to the smart city project. This gains insights into the cycling experience for groups such as women, new cyclists, cargo bikes or social economic factors, to name a few.  For example, a project in Dublin for Synchronicity targeted women and commuters, which led to 45% participation by women, providing extremely valuable data insights on how women and men cycle differently. You can read more about the findings here.

Citizen engagement - through the Smart Cities Projects we deploy a minimum of 200 lights which go onto the bikes of a select and engaged cycling population. Not only are the cyclists in your community involved in capturing data through use of our award-winning products, but they are also able to have a voice, by adding feedback on their cycling experience, through the See.Sense app, all linked to a spatial location.   

Complementary to other data sets -  When it comes to cycling data, there’s no one silver bullet, so combining data allows a greater understanding and the ability to shed light on new questions. Other data sources that may be available to cities such as count data, or even app-based crowdsourced data such as Strava Metro data can be enriched with See.Sense data to provide even deeper insights.  Where Strava Metro has millions of rides, we have millions of sensor readings per ride.  By combining the data sets you can explore new questions, for example - are cyclists avoiding areas where safety or surface is an issue? Or, do cyclists in the target group have different journey patterns?  We can work with you to bring in other cycling data sets or open data into our data dashboard, helping to create a balanced understanding of the network. 

For more information on our Smart Cities Projects please visit our Cycling Insights page, or contact team@seesense.cc.