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Decision Support Tool

Find the Right Policy Measures for Sustainable Shared Mobility in Your City

Evidence-based decision support using PROMETHEE-GAIA multi-criteria analysis and expert insights from cities across Europe

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Explore regulatory, economic, and informative policy options ranked by effectiveness

Based on Expert Knowledge

Drawing on surveys from city planners, transport operators, and researchers across multiple countries

Customizable to Your Priorities

Choose pre-defined stakeholder perspectives or adjust goal weights to match your city's unique priorities

About the methodology Start your analysis

How to start your analysis?

4 simple steps to get started with your MCDA analysis. Follow the guide below.

1

Select analysis approach & data source

Choose your data source: "Expert Survey Based" for insights from city planners and transport operators, "KPI & Policy Data" for real-world performance metrics, or "Custom Data" to input your own criteria and weights.

2

Configure stakeholder perspective

Choose the perspective viewpoint you want the goals to reflect, or configure your own goals. Options include: Regulatory Authorities (policy makers), Public Transport Operators, New Shared Mobility Operators

3

Analyze rankings & visualization

Examine the PROMETHEE scores, rankings, and GAIA plane visualization to understand trade-offs and recommendations.

4

Compare and decide

Compare results to see how different perspectives and weightings impact the rankings. Adjust your inputs and re-run the analysis to explore different scenarios and find the best fit for your city's goals.

Choose Your Analysis Approach & Data Source

Select the version that best fits your data availability and analysis needs. Each version provides comprehensive insights using the PROMETHEE GAIA methodology.

Expert Survey Based
  • Based on expert opinion surveys and stakeholder interviews
  • Incorporates professional judgment and experience
  • Ideal when quantitative data is limited
Best for: Early Planning
Launch Expert Version
KPI & Policy Data
  • Real implemented policy measures in living labs
  • Actual performance metrics KPIs from living labs
  • Evidence-based decision making
Best for: Policy Review
Launch KPI Version
Custom Data
  • Interactive interface for custom criteria
  • Define your own weights and preferences
  • Real-time sensitivity analysis
Best for: Custom Analysis | Comparative Analysis
Launch Custom Version

Understanding the Methodology

PROMETHEE-GAIA Multi-Criteria Analysis

Multi-criteria decision analysis approach with PROMETHEE and GAIA visualization

What is PROMETHEE?
What is GAIA?
How to read the PROMETHEE-GAIA results?
Pro tip for interpretation

Compare results across different perspectives to identify measures that work well for multiple stakeholders.

How to interpret the results ?

Understanding Multi-Criteria Analysis outputs and model accuracy

PROMETHEE-GAIA results combine two complementary outputs that work together to support decision-making. PROMETHEE produces a ranked order of the transport policy alternatives, reflecting how each city's interventions perform across all weighted criteria and stakeholder perspectives. A higher rank indicates a policy that better satisfies the overall set of criteria as valued by the stakeholders involved. The GAIA plane then brings a visual dimension to these rankings, mapping both the policy alternatives and the evaluation criteria onto a two-dimensional graph. On this plane, criteria pointing in similar directions indicate aligned objectives, while criteria pointing in opposite directions reveal trade-offs. Policies positioned close to a criterion's axis perform well on that specific criterion. A decision axis summarizes the overall PROMETHEE ranking direction, helping users quickly identify the most globally preferred alternatives.

Together, these two outputs allow users to:

Rank Alternatives

Compare transport policies based on their overall performance across all criteria and stakeholder groups

Identify Trade-offs

Spot tensions between competing objectives (e.g. cost reduction vs. environmental impact) that cannot be simultaneously optimized

Explore Consensus

Identify areas where different stakeholders' preferences align, supporting more inclusive and robust decision-making