Multi-Criteria Decision Analysis (MCDA) results for Qualitative Data
Decision support using PROMETHEE-GAIA multi-criteria analysis, based on expert insights from participants across Europe
Analysis Approach & Data Source
This analysis is based on expert surveys (qualitative data) from mobility experts. Open to know more about the data.
Analysis Approach & Data Source
This analysis is based on expert surveys (qualitative data) from mobility experts. Open to know more about the data.
2025-2026
Survey period
24
Experts participated in the survey
9
Cities represented in the expert survey
10
Business activities evaluated in the analysis
The data used for this analysis was collected through expert surveys. The participants included :
- New Shared Mobility provider
- Public transport operators
- Regulatory authorities
The survey is focused on understanding the effectiveness of different policy measures for sustainable shared mobility (identified in Business Activities), as perceived by these experts based on their experience and knowledge of their respective cities. The analysis is based on the responses collected from these surveys, which were conducted between 2025 and 2026.
Regulatory Authorities perspective
Results were updated on 2 Mar 2026, 10:15
Results
Review the analysis outcomes and recommendations
Top insights
Top performer
Highest PROMETHEE net flow
Electric and Low-Emission Infrastructure Expansion
φ = +0.402
Sensitivity level
Stability of top ranking
High sensitivity
Top alternatives are very close; small weight changes may swap ranks. Gap to #2: +0.099.
Conflict analysis
Most conflicting criteria pair
Improve Multimodality vs Improve Safety
Strong conflict detected in the GAIA plane.
Score spread
The difference between the highest and lowest net flow
+0.799
(max-min) = (+0.402) - (-0.398). How separated the alternatives are.
GAIA quality
2D projection representativeness
76.6%
Moderate confidence in GAIA interpretation.
Differentiating criteria
Most discriminating in the GAIA plane
Improve Mobility Service, Improve Multimodality, Improve Safety
Top 3 by vector length: 0.58, 0.57, 0.55.
The rankings and recommendations shown are derived from rigorous methodology and expert data, but they do not guarantee actual performance in your city or region. Factors such as local regulations, infrastructure, culture, and stakeholder engagement can all impact real-world results. Please use this information in conjunction with local expertise and detailed feasibility assessment.
The rankings and recommendations shown are derived from rigorous methodology and expert data, but they do not guarantee actual performance in your city or region. Factors such as local regulations, infrastructure, culture, and stakeholder engagement can all impact real-world results. Please use this information in conjunction with local expertise and detailed feasibility assessment.