Graph Neural Network Actor-Critic Model Development for Smart and Resilient Parcel-Based Land Use Allocation

doi:10.1016/j.scs.2026.107421

Graph Neural Network Actor-Critic Model Development for Smart and Resilient Parcel-Based Land Use Allocation

2026-04-21

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Alireza Sahebgharani *

DOI：10.1016/j.scs.2026.107421

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• A multi-objective model is presented for urban land use allocation at parcel level. • The model is rooted in smart and resilient planning concepts. • A GNN actor–critic reinforcement learning method is introduced. • The method yields competitive results compared to MOPSO and NSGA-II. • The results provide key insights into smart and resilient urban land use planning.

Keywords:

Graph Neural Network

Multi-objective Optimization

Land Use Allocation

Smart Planning

Resilient Urban Planning

Graph Neural Network Actor-Critic Model Development for Smart and Resilient Parcel-Based Land Use Allocation

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