Now more than ever there is an imperative for local authorities to plan for active travel in their areas.
The Active Streets Assessment Tool allows for rapid analysis of road features and characteristics in your area to support new infrastructure and street design.
Why use active streets?
Selecting appropriate areas for different measures is challenging.
It requires access to the most reliable data possible. This is why we have developed the Active Streets Assessment Tool, using our experience in transport data and delivering analytical tools into the hands of those that need them.
How it works
A simple, online platform.
But it includes incredible levels of detail for individual road segments on the Ordnance Survey Master Map roads network, and is available within days of signing-up.
Inform your decisions
Start triaging your network in a matter of minutes.
The tool also includes pre-defined filters based on parameters set for active zones, cycle lanes, and segregated cycle infrastructure so you can quickly understand points of interest
What's included
Identifying appropriate locations for new segregated cycleways, footpaths, point closures, and area-wide measures can now be undertaken quickly and effectively using the new Active Streets Assessment Tool. This tool embraces detailed network infrastructure data from Ordnance Survey Master Map, enhanced with additional datasets for individual road sections including network flow, average speeds, 85th percentile speeds, modelled congestion, and collision history.
Online access
for up to four local users (extra users available on request) with annual license renewals.
Optimised
for modern web browsers and mobile devices
OS Mastermap
Based on the highly-detailed OS Mastermap Highways network
Additional datasets
added including speed limits plus detailed profiles of average and 85th percentile speeds
Modelled AADF (flow)
for roads indicating traffic levels
Daily congestion index
including separate value for AM and PM peaks
Export data selections
to local systems for further analysis and modelling
Pedestrian traffic locations
Estimation of high-pedestrian traffic locations
5 years of collision data
including separate measure for pedestrian and cyclist collision densities
Multiple filters
based on road attributes including road widths, plus many of the calculated metrics
Watch the Demonstration
In this demonstration video data from Wokingham is used to demonstrate a number of examples of how this data can be used to effectively plan for active travel.
£4,595 per authority, per annum with up to 4 users
Our team:
Dan Campsall
Creative Director
Dan's initial role in identifying the potential for the creation of a tool combining multiple data sources, deployed rapidly to end users, provided the initial spark for the project. His ongoing role is to provide direction to the development team in areas of design and visualisation, and to work with clients to ensure the interface is intuitive.
Richard Owen
Project Director
With extensive experience of using and understanding the datasets, Richard provided the brief to the development team and worked extensively alongside our pioneer authorities to ensure the outputs met their requirements. He is now leading client communications including hosting demonstrations and webinars.
Craig Smith
Data Scientist
As Agilysis' lead on reproducible analytical platforms and app development using R and Shiny, Craig has spearheaded the development of the platform. His focus has been split between ensuring the application works quickly in an online environment, whilst ensuring the data architecture is structured to allow fast deployment to new clients.
Steve Ferris
Local Authority Contact
From the outset, Steve has worked directly with the pioneering authorities to understand their requirements and ensure the system is user-friendly and easy to understand. He is now actively engaging with potential new users and explaining how the system can be used to rapidly identify new active travel zones and corridors.
Contact Us
- 27 Horse Fair, Banbury, Oxfordshire, OX16 0AE
