Ring classification for 5 largest capital cities in 2021
Description of Use
Contextual Zoning:
Use the Inner/Middle/Outer ring classifications to analyze and compare accessibility disparities across different urban zones. For example, visual travel rings may vary significantly between dense inner-city SA2s and less connected outer rings.
Targeted Simulation:
Tailor travel-ring simulations and transport scenario modeling within each ring—enabling planners to identify where improvements (e.g., new bus routes or cycling paths) are most critical based on location-specific needs.
Benchmarking and Visual Clarity:
Overlay BCARR ring boundaries on your accessibility maps to clearly illustrate geographic zones and highlight where 20-minute access goals are strongest or weakest.
Data Set
Mapping Poverty in Victoria
Description of Use
Contextual Insight:
Gain a clearer understanding of communities experiencing economic hardship—critical for prioritizing areas where improved transport access could have the greatest social impact.
Equity-Driven Planning:
Use demographic overlays (e.g., high rates of disability or low-income households) to guide the allocation of transport interventions, ensuring that travel accessibility improvements address local vulnerability profiles.
Scenario Targeting:
Tailor simulations to reflect community-specific needs—for example, improving access to schools or services in areas with elevated child poverty.
Data Set
VISTA - Trips
Description of Use
Mode Share Calibration
We use realistic proportions of travel modes—derived from the dataset—to calibrate our travel-ring simulations and reflect actual behavior in model parameters.
Trip Timing & Distance Insights
The detailed data on departure/arrival times and distances helps fine-tune routing algorithms, especially under varying traffic volumes and congestion conditions.
Validation of Simulated Accessibility
By comparing simulated travel rings with observed trip patterns, we ensure our accessibility visualisations are grounded in real-world evidence.
Data Set
VISTA - Journey to work
Description of Use
We apply this dataset to:
Define realistic travel mode shares, informing our travel-ring simulations by accurately reflecting the proportion of users traveling by car, bus, bike, or walking during different times of day.
Calibrate congestion modeling, using average travel times and distances to estimate typical traffic volumes and speeds in specific corridors.
Validate simulation outputs, ensuring generated accessibility rings reflect actual commuting behaviors and regional travel patterns.
Data Set
Victorian Integrated Survey of Travel & Activity (VISTA)
Description of Use
We leverage the VISTA dataset to:
Calibrate travel behaviour models, helping determine mode shares (car, public transport, cycling) and peak usage times.
Inform traffic volume inputs by understanding typical trip distributions throughout the day.
Validate our simulation outputs, ensuring our accessibility “travel rings” reflect real-world travel patterns and constraints.
Data Set
20 Minute Neighbourhood Research and Resources
Description of Use
We leverage these insights and resources to:
Inform our simulation parameters, particularly the “hallmarks” of 20-Minute Neighbourhoods, ensuring our visualizations align with established liveability standards.
Benchmark improvements, enabling us to compare current travel-accessibility ring outputs against recognized criteria and flag shortfalls clearly.
Validate interventions, by mapping simulated changes (like adding bus routes or cycling paths) against policy-backed guidelines and case evidence, strengthening the relevance of our tool for urban planning contexts.
Data Set
