An Agent-Based Model based on the Theory of Planned Behaviour with Long-Short Term Memory Modules — Case Study on Food Delivery and Its Implications
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Presented research on integrating Long-Short Term Memory (LSTM) neural network modules with an agent-based model grounded in the Theory of Planned Behaviour. The case study examined food delivery systems and their broader implications for urban planning and policy.