Hybrid approach combines fuzzy decision-making and Monte Carlo simulation for evaluating transportation, suggesting BRT as a sustainable alternative.
Key Points
A Bus Rapid Transit (BRT) system outperformed other transport methods in 87.06% of scenarios, showing strong sustainability.
The methodology integrates fuzzy set theory with Monte Carlo simulation to assess transportation alternatives across 14 sustainability indicators.
Sensitivity analysis revealed that the BRT system is robust, responding strongly to critical factors like land usage while maintaining stability under various criteria.
This research equips decision-makers with a valuable tool for public transport investment assessment amidst uncertainty in urban planning.