A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
面向社区商业集群韧性空间规划的空间交互模型深度学习表示
Existing Spatial Interaction Models (SIMs) are limited in capturing the complex and context-aware interactions between business clusters and trade areas. To address the limitation, we propose a SIM-GAT model to predict spatiotemporal visitation flows between community business clusters and their trade areas. The model innovatively represents the integrated system of business clusters, trade areas, and transportation infrastructure within an urban region using a connected…