Python-based LCSA Framework

This repository contains a comprehensive Python implementation of a Life Cycle Sustainability Assessment (LCSA) framework tailored for transportation systems. It integrates multi-criteria assessment encompassing environmental, economic, and social dimensions, enhanced by machine learning models including multi-target Random Forest regressors for accurate prediction of key impact indicators. The code supports scenario analysis, uncertainty quantification via Monte Carlo simulations, and generates detailed visualizations and rankings to guide sustainable transport decision-making. This framework enables analysts and policymakers to evaluate trade-offs and identify sustainable routing and operational strategies, contributing robust, data-driven insights for decarbonization, cost efficiency, and social risk reduction in freight logistics.