PATH Active Transport Planning Tool
Australia’s most powerful walking and cycling planning tool.

Empowering active transport planning
Visualise, analyse and predict walk and cycle travel patterns to understand the real benefits of active transport projects.
What is PATH?
PATH is a walking and cycling scenario planning tool which combines rich geospatial data and an advanced modelling engine so planners can assess walk and cycle travel patterns, analyse walkability and cyclability and test the quantifiable impact of network, land use or PT service changes on future active transport trips.
PATH is an additional module within Planwisely that utilises the platform’s intuitive map-based user interface, which means you don’t need any GIS experience to use PATH.
Analyse current walking and cycling travel patterns
Quantify the impact your project will have on future active transport trips
Support projects with evidence-based modelling results
Understand how walkable or cyclable locations are in granular detail
Built by Australia’s leading travel modelling business
Discover where walk and cycle trips actually happen
Visualise active transport trip volumes at a granular level to understand existing walk and cycle travel patterns.
Identify high-traffic areas, assess the effectiveness of existing routes and pinpoint where improvements are needed to support your analysis and guide active transport planning efforts.
Predict future walk and cycle travel patterns
Measure your project's impact on active transport travel to plan for the future using PATH’s powerful scenario planning tools.
Create and run your own scenarios to discover and compare the quantifiable impacts your project will have on future walk and cycle travel, empowering you to confidently make the right planning and investment decisions.
Investigate what influences walk and cycle trips
Discover how walkable and cyclable an area is by analysing key factors that influence active transport trips.
See where people walk and cycle to or from depending on their location using Origin Destination analysis, investigate network connectivity, accessibility to facilities and amenities and other contextual factors that contribute to people’s decision to walk or cycle.
Frequently Asked Questions
We get it, it’s a lot to take in. Here are some of the most common questions we get.
PATH is a module within Planwisely that can be licensed independently or packaged with access to Planwisely’s core geospatial data library and analytics tools (recommended) to complement PATH’s unique walking and cycling-specific capabilities.
Contact us today to find the package that suits your needs and get started with PATH today.
PATH uses a powerful predictive modelling engine to estimate future walking and cycling travel patterns and volumes.
These results are informed by ‘scenarios’ you create to test your choice of edits to the network, demographics, land use or public transportation services.Using the combined inputs of your scenario, PATH’s predictive model will then provide clear and robust data insights on future walk and cycle demand and volumes to illustrate your scenario’s predicted impact.
A ‘scenario’ is the group of inputs (changes to the network, demographics, land use or public transportation services) you want to measure the impact of using PATH’s predictive active transport model.
There is no limit to the number of scenarios you can create.Testing scenarios, however, requires pre-purchased modelling credits, with one credit allowing you to test one scenario.
You can choose the number of modelling credits you want added to your account when you purchase a PATH license, while additional credits can be purchased by contacting your Planwisely Account Manager.
You can view how many modelling credits you have remaining on your account within the platform when you are logged in to PATH.
Running a model scenario is a complex task that traditionally requires large amounts of computing power and the expertise of a dedicated transport modeler.
This process can often take many weeks to complete. However, thanks to its advanced modelling engine, running a scenario within PATH can be completed in a matter of hours, while larger, more complex scenarios in more densely populated areas can take longer.
Users can inspect the status of their scenario model run within their PATH account.
PATH combines a wide range of place factors, network factors and travel pattern data to determine the current day walking and cycling patterns and volumes.
The PATH network is derived from the OpenStreetMap (OSM) network and then refined to create a robust, active transport-focussed network.