Using cycling intelligence to plan safer streets

How can councils use the everyday experiences of people riding bikes to make better decisions about cycling infrastructure? Ths webinar presents an overview of the associated iMOVE project, AI-powered data dashboard for cycling safety and planning.

Join See-Sense and representatives from the City of Sydney, Surf Coast Shire and City of Stonnington councils to explore how they are using the See.Sense Insight cycling intelligence platform. Bringing together urban and regional perspectives from New South Wales and Victoria, this webinar will offer a practical look at the role of cycling data in local planning.

Date, time, and registration link

• Date: Monday 23 November
• Time: 11:00 am – 12:00 pm (AEDT, so Melbourne / Sydney / Canberra time)
• Reguistration link: Using cycling intelligence to plan safer streets

Background

The platform draws on data collected by smart bike lights, including braking, swerving and road surface conditions. These insights can help councils understand where riders experience difficulties, identify potential safety risks and assess how infrastructure performs.

See-Sense will share information on the technology and platform development and councils’ will share experiences of using the platform and explore how this evidence can inform decisions about where improvements are needed and how to prioritise investment. The discussion will also consider what different council settings can learn from one another, from busy metropolitan streets to regional cycling routes.

Who should attend?

For council officers, transport planners, road safety practitioners and others working in active travel, this is an opportunity to see how research is being put into practice and consider what cycling intelligence could offer their own communities.

Webinar video

The webinar will be recorded, and the video will be embedded here soon after the webinar is finished. An email advising when the video is avaiable will be sent to all that register for the webinar.

Again, tht link to register is: Using cycling intelligence to plan safer streets