
Python implementation of a hybrid simulation model to analyze technological competition between urban mining (e-waste recycling) and space mining (asteroid resources) for future gold supply. This code accompanies the paper "Urban Mining vs. Space Mining: A Prospective Analysis of Technological Competition by Hybrid Simulation" submitted to Acta Astronautica. The model integrates three methodologies:- Ordinary Differential Equations (ODE) for technological growth modeling- Lotka-Volterra competition dynamics for market interaction simulation- Monte Carlo simulation for uncertainty quantification Features:- Static model with constant parameters (baseline analysis)- Dynamic model with time-evolving parameters (realistic scenarios)- Comprehensive sensitivity analysis tools- 8 predefined scenarios covering validation extremes to realistic projections- Automated figure generation and detailed reports Requirements: Python 3.8+, NumPy, Pandas, Matplotlib, SciPy, Seaborn See README.md for installation instructions and usage examples.
space mining, technological competition, urban mining, hybrid simulation, Lotka-Volterra, Monte Carlo, Python
space mining, technological competition, urban mining, hybrid simulation, Lotka-Volterra, Monte Carlo, Python
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